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Carted


verified
Worldwide
 
$100k - $200k

python

 

nlp

 

tensorflow

Carted

Carted

carted.com

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3,615 views

1,593 applied (44%)

Carted is also hiring a:

Carted is hiring a
Remote Machine Learning Engineer

**OUR STORY**\n\nWere on a mission to build solutions for the next generation of commerce. Ultimately we enable developers and platforms to make commerce seamless by connecting them to millions of merchants and billions of products with a single API.\n\nCarted will power commerce experiences anywhere on the internet, allowing developers and content creators to build a direct checkout of any product from any merchant via any content on the web.\n\n**We are looking for Machine Learning Engineers to join our team and come help us solve data-driven problems at Petabyte scale.**\n\n**REQUIREMENTS**\n* Python, TensorFlow/PyTorch.\n* NLP (problems include entity extraction, intent classification, sentence classification).\n* Is well-aware of the current state of research in the domain (representation learning) and comfortable with implementing new ideas when needed.\n* ML Solution engineering experience with any of the following cloud service providers: Google Cloud * Platform, Microsoft Azure, Amazon Web Services.\n* Vector similarity search at scale with open-source tools like ScaNN, Faiss, Annoy, etc.\n* Computer vision (problems include fine-grained image classification, localization, etc.)\n\n**BONUS POINTS**\n* Experience with handling e-commerce data.\n* Docker and k8s.\n* Exposing ML models as gRPC/RESTful APIs or with fully managed serverless systems.\n* Has trained deep neural networks using distributed training for large datasets using TPUs.\n* Deployed ML model / NLP models / computer vision models that are currently in production.\n\n**WHY COME AND JOIN OUR TEAM**\n\nWe are a well-funded, fast growing startup with people around the globe. You will have autonomy and ownership of the work you do, with flexible hours\n\nWe offer a competitive base salary plus equity, so you are rewarded for your best work. On top of this we offer generous paid holidays. Holiday is called holiday at Carted and never annual leave as we are big believers that holiday is your time and we want you to enjoy it! We also provide you with top-end equipment to make your space enjoyable.\n\nWe have a training and development allowance to invest in your personal and professional development.\n\nWe like to learn quickly, do things differently and most importantly, have fun! \n \n\nBe sure to mention the word **PEPPED** when applying to show you read the job post completely. This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $100,000 — $200,000/year\n \n\n#Location\n Worldwide


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Pngme



San Francisco
 
$70k - $135k*

data science

Pngme is hiring a
Remote Data Scientist Natural Language Processing

Data Scientist - NLP\n\nAbout the role\nPngMe is looking for a senior-level NLP-specialized Data Scientist who can independently research, experiment, build, and productize NLP-based solutions to translating unstructured text data.\n\nResponsibilities\n-Apply NLP/NLU techniques such as named entity recognition, text classification, and statistical language models to translate unstructured text into machine-readable form\n-Develop solutions in collaboration with data engineering to deploy algorithms through an MLOps pipeline\n-Build a rigorous experimentation framework to evaluate algorithm efficacy and drive a culture of iteration, optimization, and model tuning.\n-Work with customers to identify, design, and NLP/NLU models for product use cases\n\nRequirements\n-Bachelors degree or equivalent experience in Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering, or a closely related field\n-5+ years of professional experience as a data scientist\n-Working knowledge of scientific computing language (Python preferred), SQL, and data visualization tools\n-Strong knowledge of probability and statistics. Deep understanding of experimentation analysis workflows\n-Comfortable with working in cloud environment such as AWS (ec2, emr, Redshift, Sagemaker)\n-Excellent communication skills to convey complex technical concepts and information to both technical and non-technical audiences\n\nPlus\n-Industry experience with credit risk analysis and underwriting principles\n-Data engineering experience and data pipeline tooling (Airflow, Spark)\n-Experience working with customers to identify problems and provide solutions\n-Familiarity with NLP concepts and practical application on text data\n-Experience deploying models into production environment (Sagemaker, MLFlow, Kubeflow)\n-Kaggle Master / Grandmaster\n\nBenefits:\n- Mission driven company focused on giving equal everyone equal access to finance\n- We invest heavily in our team and strive to provide a supportive work culture\n- Flexible work policy from our global offices (when open) or remote\n- Innovative engineering and product culture\n- Inclusion and diversity as a company priority\n- Founder-led company\n- Inclusive stock option plans\n- Competitive compensation packages\n- Comprehensive benefits (including 100% healthcare, dental, vision and 401k)\n- Additional benefits include home office reimbursements\n\nSalary: $140,000 - $200,000 USD \n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Data Science jobs that are similar:\n\n $70,000 — $135,000/year\n \n\n#Location\nSan Francisco


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Pngme

 This job is getting a high amount of applications right now (51% of viewers clicked Apply)


San Francisco
 
$70k - $135k*

data science

Pngme is hiring a
Remote Data Scientist Machine Learning

Data Scientist - Machine Learning\n\nAbout the role\nPngMe is looking for a mid-to-senior-level Data Scientist who can independently run deep data investigations, partner with our product and engineering teams, support our customers with analytic and modeling solutions, and evangelize data science across the organization.\n\nResponsibilities\n- Run impactful inferential analyses and data investigations to develop deep understanding of data\n-Identify recurring patterns, root causes, and propose actionable product solutions\n-Build, validate, fine-tune, and deploy machine learning models as product via a robust MLOps pipeline\n-Partner with the product, design, and engineering teams to define and monitor key business metrics, build visualizations and dashboards, present actionable insights across the organization, and collaborate on platform functionality\n-Work collaboratively with customers to identify problems, build analytics & modeling solutions, present insights, and demonstrate the value of Pngmes products\n-Provide thought leadership on developing cultural excellence around statistical analysis, experimentation, and modeling\n\nRequirements\n-Bachelors degree or equivalent experience in Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering, or a closely related field\n-5+ years of professional experience as a data scientist\n-Working knowledge of scientific computing language (Python preferred), SQL, and data visualization tools.\n-Strong knowledge of probability and statistics. Deep understanding of experimentation analysis workflows\n-Comfortable with working in cloud environment such as AWS (ec2, emr, Redshift, Sagemaker)\n-Excellent communication skills to convey complex technical concepts and information to both technical and non-technical audiences\n\nPlus\n-Industry experience with credit risk analysis and underwriting principles\n-Data engineering experience and data pipeline tooling (Airflow, Spark)\n-Experience working with customers to identify problems and provide solutions\n-Familiarity with NLP concepts and practical application on text data\n-Experience deploying models into production environment (Sagemaker, MLFlow, Kubeflow)\n-Kaggle Master / Grandmaster\n\nBenefits:\n- Mission driven company focused on giving equal everyone equal access to finance\n- We invest heavily in our team and strive to provide a supportive work culture\n- Flexible work policy from our global offices (when open) or remote\n- Innovative engineering and product culture\n- Inclusion and diversity as a company priority\n- Founder-led company\n- Inclusive stock option plans\n- Competitive compensation packages\n- Comprehensive benefits (including 100% healthcare, dental, vision and 401k)\n- Additional benefits include home office reimbursements\n\nSalary: $140,000 - $200,000 USD \n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Data Science jobs that are similar:\n\n $70,000 — $135,000/year\n \n\n#Location\nSan Francisco


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BenchSci

 This job is getting a high amount of applications right now (114% of viewers clicked Apply)


Toronto, Ontario
 
$75k - $125k*

engineer

BenchSci is hiring a
Remote Machine Learning Engineer NLP

BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We do this by empowering scientists to run more successful experiments with the world's most advanced, easy to use biomedical artificial intelligence software platform, thereby avoiding delays that slow the progress of medicine to clinical trials. Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for more than 41,000 scientists that accelerates research at 15 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a CIX Top 10 Growth company, certified Great Place to Work簧, and top-ranked company on Glassdoor.\n\nWe are seeking a Machine Learning Engineer - NLP to join our growing R&D team! You will work on complex and challenging NLP problems that will have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research.\n\nReporting to the Engineering Manager, R&D, youll apply your domain expertise to build advanced machine learning algorithms, collaborate with data engineers to build benchmarking and data preparation pipelines, and work with core infrastructure engineers to deploy and monitor your models in our production system. In this role, you will have the opportunity to apply state-of-the-art solutions that will shape the future of scientific discovery.\n\n\n\n\nOur Culture:\nWe believe culture is critical to success and invest accordingly. We live and promote our FASTT values of focused, advancement with speed, tenacity, and transparency. We work hard to maintain an engaging, supportive environment where everyone can do their best work. To learn more, read our culture deck.\n\nDiversity, Equity and Inclusion:\nWe're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. To learn more, read about our DEI initiatives.\n\nAccessibility Accommodations:\nBenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.\n\n#LI-Remote \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Engineer jobs that are similar:\n\n $75,000 — $125,000/year\n \n\n#Location\nToronto, Ontario


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Medely

 This job is getting a high amount of applications right now (126% of viewers clicked Apply)

 
$70k - $120k*

full stack

 

engineer

Medely is hiring a
Remote Compliance Support Associate

THE COMPANY\n\nMedely is the largest workforce management platform specializing in delivering healthcare professionals through an on demand marketplace. As an economic empowerment engine, Medely allows healthcare professionals instant access to high paying jobs with the freedom and flexibility to work when/where they want, while providing healthcare facilities access to the largest on-demand network of ready to work healthcare professionals.\n\nWe believe that empowering healthcare professionals will bring more open, efficient, and increasingly higher quality to patient care. We are a team of sharp, entrepreneurial individuals who are redefining the way healthcare staffing is done. We are currently looking for candidates to join our growing team who share our enthusiasm for tackling todays toughest challenges in healthcare.\n\nHIGHLIGHTS\n\n- Founded in 2016 and having recently secured their Series B, Medely is facing explosive growth in a $3.65 trillion U.S. healthcare market ripe for tech disruption (Forbes, 2019).\n- Medelys staffing platform provides high quality, on-demand professionals to more than four thousand healthcare facilities in over 50 U.S. markets. Their network boasts over sixty thousand selectively vetted and credentialed healthcare professionals including nurses, medical assistants, technicians, and specialists. \n- Medely has consistently exceeded growth goals and is excited to continue the momentum in 2021!\n\nBe part of our growing company by joining the Medely Compliance Team!\n\nThe Compliance Support Associate will play a starring role in helping to reach Medelys goal of continually innovating, adapting to our rapid growth, and providing best-in-class service levels. As we are a growing startup, your voice matters when it comes to compliance best practices.\n\nWHY MEDELY:BENEFITS & PERKS\n\n- Competitive Compensation: Based on experience and performance\n- Long Term Incentives: 401k\n- Healthcare Benefits: Full suite of benefits including medical, dental, and vision insurance\n- Flexibility: We believe that work/life balance is important, so we offer three weeks of vacation and ten paid holidays\n- Energetic team environment\n- Purpose: Join a growing mission-oriented startup that is modernizing the healthcare industry on a national scale!\n- Ownership: Drive meaningful business impact on a team that youll help build and define!\n- Remote: Work in a digital environment with all the tools to achieve your work as though you were in the office!\n\n\nWe're an equal opportunity employer to all. We interview and hire applicants of all backgrounds, orientations, expressions, and identities.\n\nWork location is flexible if approved by Medely, except that position may not be performed remotely from the state of Colorado.\n\nMedely does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency or outside recruiter without prior approval from a member of the Medely Human Resources or Recruiting team to be unsolicited and gratuitous, and such submissions will not be recognized by Medely for purposes of ownership of the candidate. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Full Stack, Machine Learning and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n \n\n#Location\nRemote


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Hyperscience

 This job is getting a high amount of applications right now (122% of viewers clicked Apply)


New York City - NY, US Remote
 
$70k - $120k*

full stack

 

engineer

Hyperscience is hiring a
Remote Full Stack Engineer Machine Learning

Company Description\nHyperscience modernizes mission-critical processes and operations for the world's largest organizations and government agencies. Since 2014, Hypersciences automation technology has helped data-centric companies parse through vast amounts of unstructured inputs and raw information to get to swifter and smarter business outcomes. Through the Hyperscience Platform, enterprises are empowered to transform their operations, and drive operational efficiency as well as human productivity by fully unlocking the power of their data.\n\nRanked on the Inc. Fastest-Growing Company List, Hyperscience has raised $190M from investors including Tiger Global, BOND, Bessemer Venture Partners, Stripes, and FirstMark. The company has consistently been recognized as one of the best places to work with a collaborative and innovative culture and best-in-class benefits.\n\nThe company has a global footprint with offices in New York City, Sofia, Bulgaria, Toronto, Canada, and London, UK.\n\nJob Description\nWe are focused on building the worlds first Software-Defined, Input-to-Outcome platform by understanding documents, extracting structured and unstructured data, and automating business processes end-to-end - and were looking for amazing people to join us.\n\nMachine Learning (ML) sits at the core of our efforts to automate the future work. We turn ML lab experiments into enterprise-ready AI solutions to solve complex machine perception and natural language understanding problems.\n\nThis is an opportunity to work on the full lifecycle of an AI solution - you will research cutting-edge techniques (Computer Vision, Natural Language Processing, Meta Learning, Online Learning), implement them in a fast-growth AI startup environment, and ensure th迮y are integrated in a reliable and scalable way to bring real value to customers.\n\n\n\n\nBenefits\n- Top notch healthcare for you and your family\n- 30 days of paid leave annually to help nurture work-life symbiosis\n- A 100% 401(k) match for up to 6% of your annual salary\n- Stock Options\n- Wellness stipend\n- Pre-tax transportation and commuter benefits\n- 6-month parental leave (or double salary to pay for your partner's unpaid leave)\n- Free travel for any person accompanying a breastfeeding mother and her baby on a business trip\n- A dependent care stipend up to $3,000 per month, per child, under the age of 21 for a maximum of $6,000 per month total\n- Daily catered lunch, snacks, and drinks\n- Budget to attend conferences, train, and further your education\n- $1,000 one-time-use WFH stipend and $75 monthly WFH stipend\n- Relocation assistance\n\nWe are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Full Stack, Machine Learning and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n \n\n#Location\nNew York City - NY, US Remote


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Curai

 This job is getting a high amount of applications right now (92% of viewers clicked Apply)


Bay Area, CA
 
$70k - $120k*

senior

 

engineer

Curai is hiring a
Remote Senior Machine Learning Engineer

Curai Health is on a mission toexpand healthcare access and deliver the best in class care to everyone. We run a virtual primary care clinic, and leverage AI and machine learning to help our doctors work more quickly and effectively with patients. At Curai Health we are building a diverse, world-class, multi-disciplinary team across engineering, AI research, product, design, operations, and medicine. Our Curaians come from a variety of backgrounds, are mission-oriented, embody our core values, and are passionate about making a difference in the lives of millions of people.\n\nAt Curai Health we have embraced remote-first and work with people from all over the country and world. Full-time team members receive benefits that include medical, dental, vision, 401(k) matching, a remote work stipend, parental leave, and more. We are well funded by top-tier Silicon Valley investors including Morningside, General Catalyst and Khosla Ventures.\n\nAI/ML researchers/engineers at Curai come from strong technical backgrounds, and share a passion to make a positive impact in the lives of millions of people. We have research partnerships with leading universities in the country, and access to medical data that facilitates research in this space. Check out some of our work on our blog.\n\nTo learn more about working in our ML team, please check out our employee spotlights here, and see our Key Values blog post here.\n\nOur company is remote-first and considering candidates across the United States.\n\nAt Curai Health, we are highly committed to building a diverse and inclusive environment. In keeping with our beliefs and values, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. To promote an equitable and bias-free workplace, we set competitive compensation packages for each position and do not negotiate on our offers. We are looking for teammates that are mission-driven, embody our core values, and appreciate our transparent approach. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Senior and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n \n\n#Location\nBay Area, CA


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Tala

 This job is getting a high amount of applications right now (126% of viewers clicked Apply)


Santa Monica, CA
 
$75k - $125k*

engineer

Tala is hiring a
Remote Machine Learning Engineer II

Tala was named one of the top 50 FinTech companies in the world. We are a financial technology company on a mission to make financial services simple, inclusive, and accessible for the doers and dreamers globally. We are building the digital bank for the next billion!\n\nSo far, more than 6 million people in emerging markets have borrowed through our Android app, which provides instant credit scoring, lending, education, and other personalized financial services. Headquartered in Santa Monica, we support the needs of our customers in Kenya, Mexico, Philippines, and India.\n\nThe Machine Learning Engineer II will contribute their expertise in both data science and software engineering to develop scalable, robust ML products. This IC role will deliver new products and improvements to our data science infrastructure from within Talas Data Platform team, participating in collaborative design discussions and delivering well-tested, performant solutions which meet the quality and design standards of the senior engineering staff. The Machine Learning Engineer II will proactively identify and overcome potential barriers to their projects success, requesting appropriate guidance and mentorship from senior staff.\n\nAbout Tala\n\nOur vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and were proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Engineer jobs that are similar:\n\n $75,000 — $125,000/year\n \n\n#Location\nSanta Monica, CA


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Pachama



San Francisco, California
 
$70k - $130k*

data science

 

exec

 

Pachama is hiring a
Remote Product Manager GIS Machine Learning

Who we are\nPachama's mission is to restore nature to help address climate change. We bring the latest technology in remote sensing and AI to the world of forest carbon in order to enable forest conservation and restoration at scale. Our core technology harnesses satellite imaging with artificial intelligence to measure carbon captured in forests. Through the Pachama marketplace, companies and individuals can connect with carbon credits from projects that are protecting and restoring forests worldwide. We are backed by mission-aligned investors including Breakthrough Energy Ventures, Amazon Climate Fund, Chris Sacca, Saltwater Ventures, and Paul Graham.\n\nOur Values\nPurpose: We are a mission-focused company, working on the biggest problem of our generation\nIntegrity: Honesty, transparency, and commitment to the team\nExcellence: Everything you do should be delivered with precision and clarity\nTenacity: Stick with the mission, the company, and the team, through thick and thin\n\nWhat we're looking for\nWe're looking to bring on a product manager to work partner with our Verify team to develop and deliver on a product roadmap that aligns with Pachama's mission. You will work closely with the product and engineering teams, as well as with business and operations staff, designers, customers, and a range of other stakeholders, to deliver high-quality and scalable products. You'll be responsible for aggregating the requirements across this diverse group, developing a shared vision for the team, implementing a clear roadmap, and ultimately ensuring delivery against those goals.\n\nWhat Verify does\nThe primary job of Verify is to use satellite imagery, LIDAR, and other data sources to monitor the carbon sequestration of forests in an efficient, automated, and accurate way. Verify covers everything from data ingestion and graphics to model training and inference. Each is necessary to produce high-accuracy project evaluations and ongoing monitoring insights. The team is comprised of sustainability experts, forest scientists, machine learning experts, data engineers, and software engineers. The systems built by the Verify team underpin the core technology of the company, creating the heartbeat by which our business operates. \n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Data Science, Executive and Machine Learning jobs that are similar:\n\n $70,000 — $130,000/year\n \n\n#Location\nSan Francisco, California


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BrightHire


 
$70k - $120k*

senior

 

engineer

BrightHire is hiring a
Remote Senior Machine Learning Engineer

Our mission is to fix hiring, making it fundamentally more equitable, effective, collaborative, and human. Were doing this by building the first intelligent platform for the most important part of the hiring process: interviews and decisions. Our innovative approach has been covered in Inc. Magazine and Quartz, were backed by the investors behind Figma, Dropbox and Slack, and advised by thought-leaders including renowned organizational psychologist and NYT bestselling author Adam Grant.\n\nWhat will you do?\n As the founding member of the data science team, reporting to the Head of Engineering, you will:\n Take full ownership in defining and developing high quality ML features as well as supporting infrastructure and services that enable our customers to extract more insights and value out of their interviews.\n Work directly with the customers and the rest of the team to understand and identify the problems that they face and the solutions we want to deliver.\n Collaborate with the rest of the team on enabling data-driven and ML solutions inside the organization and in the application.\n\nWho are you?\n You have delivered user-facing ML features to production with the full ML development lifecycle.\n Experience with developing NLP features is a plus.\n Experience with Data Analytics work is a plus.\n Experience with Full Stack Engineering is a plus.\n You are resourceful and are happy wearing many hats.\n You have worked in a startup-like environment with limited resources and processes.\n You empathize with the customer.\n You have a strong opinion on what should be built and how it solves the customers problem.\n You can communicate complex engineering ideas to a non-technical audience.\n You value collaboration and gathering feedback from team members across the organization comes naturally to you.\n\nMore about us:\n Were very collaborative, were always brainstorming ideas about product, strategy, etc.\n We use our product daily in our own hiring, which is rewarding and gives us product empathy!\n We try to make sure everyone stays connected to users and clients, joining sales and client meetings, talking to end users, etc.\n Everyone is self-motivated, autonomous, and seeks ways we can continuously improve as a company\n Were generous, self-deprecating, look for reasons to laugh, and enjoy sharing our ideas for band names, posting photos from our walks, and reminiscing about previous travel...\n\nBenefits:\n Meaningful equity\n Fully paid health, dental and vision coverage\n Generous budget for your ideal work environment\n Unlimited PTO, with a minimum # of days everyone must take :)\n Annual learning stipend for courses, conferences, etc.\n Monthly snack pantry delivered to your door\n\nOur goal is to ensure that BrightHire upholds an inclusive environment where all people feel that they are equally respected and valued, whether they are applying for an open position or working at the company. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, and veteran status, and we'd love to learn about what you can add to our team.\n\n*Note to Recruiters and Placement Agencies: We do not accept unsolicited agency resumes. Please do not forward unsolicited agency resumes to our website. We will not pay fees to any third party agency or firm and will not be responsible for any agency fees associated with unsolicited resumes. Unsolicited resumes received will be considered our property. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Senior and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n \n\n#Location\nRemote


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Back



Berlin
 
$60k - $110k*

design

 

exec

 

engineer

Back is hiring a
Remote Frontend Engineer

Were Back, based in Berlin, and were building a new category of automation-first software to help teams like HR, IT, and Finance build and manage employee experiences from on-boarding to off-boarding, and for all moments that matter in between.\n\nYou will join our experienced engineering team to develop our platform and architecture. We like to solve complex problems with elegant and robust solutions. If you are excited about building highly scalable solutions built on a modern stack using best practices, then this role is perfect for you.\n\nThis position is based in our growing HQ office in Berlin.\n\nMeet your future team: http://bit.ly/working-at-Back\n\nHow to apply?\nApply for this job by adding your Github, LinkedIn profiles, some screenshots and/or video of an application you built or your portfolio link to and/or zip file of some code you wrote and which you enjoyed to build.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Design, Executive and Digital Nomad jobs that are similar:\n\n $60,000 — $110,000/year\n \n\n#Location\nBerlin


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Back



Berlin
 
$60k - $110k*

design

 

exec

 

engineer

Back is hiring a
Remote Backend Engineer

Were Back, based in Berlin, and were building a new category of automation-first software to help teams like HR, IT, and Finance build and manage employee experiences from on-boarding to off-boarding, and for all moments that matter in between.\n\nYou will join our experienced engineering team to develop our platform and architecture. We like to solve complex problems with elegant and robust solutions. If you are excited about building highly scalable solutions built on a modern stack using best practices then this role is perfect for you.\n\nThis position is based in our growing HQ office in Berlin.\n\nLearn more about our engineering culture, our values for hiring, and how we work: http://bit.ly/working-at-Back\n\nHow to apply?\nApply for this job by adding your Github, LinkedIn profiles, some screenshots and/or video of an application you built or your portfolio link to and/or zip file of some code you wrote and which you enjoyed to build. \n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Design, Executive and Digital Nomad jobs that are similar:\n\n $60,000 — $110,000/year\n \n\n#Location\nBerlin


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Back



Berlin
 
$60k - $110k*

design

 

exec

 

engineer

Back is hiring a
Remote Machine Learning Engineer

Were Back, based in Berlin, and were building a new category of automation-first software to help teams like HR, IT, and Finance build and manage employee experiences from on-boarding to off-boarding, and for all moments that matter in between.\n\nYou will join our experienced engineering team to build our machine learning pipeline and develop some of our first machine learning supported features. If you are excited about building highly scalable solutions built on a modern stack using best practices then this role is perfect for you.\n\nThis position is based in our growing HQ in Berlin.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Design, Executive and Digital Nomad jobs that are similar:\n\n $60,000 — $110,000/year\n \n\n#Location\nBerlin


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Nylas



Toronto, ON
 
$70k - $100k*

exec

 

senior

 

customer support

 

engineer

Nylas is hiring a
Remote Software Developer Test

Nylas is a pioneer and leading provider of productivity infrastructure solutions for modern software. Over 50,000 developers worldwide use the Nylas platform to quickly and securely build productivity features into their applications. With Nylas, developers get unprecedented access to rich communications data from their end-users, pre-built workflows that automate everyday tasks, embeddable UI/UX components for fast front-end development, and comprehensive security features - all delivered via a suite of powerful APIs that make integration easy.\n\nWho We Are\nNylas was founded in 2013 and has raised over $175M to date from Tiger Global, 8VC, Spark Capital, Slack, and more; as well as individual investors includingPatrick Collison, Co-Founder and CEO of Stripe,John Collison, President and Co-Founder of Stripe,Sebastian Siemiatkowski, CEO of Klarna, andTony Fadell. Developers around the world use Nylas to quickly and securely build email, scheduling, and work automation features into their applications. Nylas customers include Upwork, Wix, Freshworks, Lever, Dialpad, Ceridian, andMove.com.\n\nOur Work Philosophy\nNylas is also big believers in the safety and well-being of our employees and society, which is why we are onboarding all new Nylanauts remotely during this global pandemic until there is a vaccine and it is safe for humans to resume their pre-COVID lifestyles.\n\nAND once COVID-19 pandemic eventually comes to an end, we will continue to embrace Remote First philosophy, with a minor twist: Remote First, Office Second. That's right! It's about how you work, not where you work. Nylanauts can choose any workspace or environment that will result in more ideas, engagement, creativity, focus, collaboration, and productivity. It's true. They can go anywhere as long as they respect the working hours (time zones) of their team. Wherever motivates them; inspires them to be better versions of themselves. This means Nylanauts can work from the slopes of Missoula before traveling to the beaches of San Diego. Wonderful!\n\nAnd if Nylanauts want to work from an office in one of our hubs (San Francisco, Denver, New York City, Toronto, and London), they can. Go ahead! The workspace is there to be utilized.\n\nWhy Remote First, Office Second? Because we not only believe in respecting individual working styles, disabilities, and personal schedules, but also ensuring everyone has a better work-life balance. The outcomes will always be more important than the physical location.\n\nSo, if youre looking to join a fast-growing company with a beloved, daily-use product, and an authentic mission that puts people first, we want to meet you. Want to know more? Check us out on Comparably and Great Place to Work!\n\nRecent Awards:\nFastest Growing Companies (Inc 500)\n2020 Great Place to Work (Great Place to Work)\n2020 Best Places for Professional Development (Comparably)\n2019 Best Leadership Team (Comparably)\n2020 Happiest Employees (Comparably)\n2020 Best Companies for Compensation (Comparably)\n2020 Best Companies for Perks & Benefits (Comparably)\n2020 Best Companies for Work-Life Balance (Comparably)\n\nAbout the role\nWere looking for an individual to grow with us, introduce us to new ideas, and help us scale our products with quality to our users. You will work cross-functionally with engineers, product managers, our support team, and our developer advocate in a fast-paced and collaborative environment. You are specialized in full stack QA (front end, web service, & non-functional infrastructure testing) and will design, build, and adapt testing infrastructure from scratch so that we have effective pre and post production tests. Additionally, you have hands-on experience with Docker and Kubernetes in any of the cloud platforms. You should be comfortable following code from development through production and bring your expertise to help turn incidents into test cases.\n\nNylas is registered as an employer in many, but not all, states/provinces. If you are not located in or able to work from a state/province where Nylas is registered, you will not be eligible for employment. Visa sponsorship may not be available in certain remote locations.\n\nNylas is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also EEO is the Law.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Executive, Senior and Customer Support jobs that are similar:\n\n $70,000 — $100,000/year\n \n\n#Location\nToronto, ON


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Nylas



Toronto, ON
 
$70k - $100k*

exec

 

senior

 

customer support

 

engineer

Nylas is hiring a
Remote Senior Machine Learning Engineer NLP

Nylas is a pioneer and leading provider of productivity infrastructure solutions for modern software. Over 50,000 developers worldwide use the Nylas platform to quickly and securely build productivity features into their applications. With Nylas, developers get unprecedented access to rich communications data from their end-users, pre-built workflows that automate everyday tasks, embeddable UI/UX components for fast front-end development, and comprehensive security features - all delivered via a suite of powerful APIs that make integration easy.\n\nWho We Are\nNylas was founded in 2013 and has raised over $175M to date from Tiger Global, 8VC, Spark Capital, Slack, and more; as well as individual investors includingPatrick Collison, Co-Founder and CEO of Stripe,John Collison, President and Co-Founder of Stripe,Sebastian Siemiatkowski, CEO of Klarna, andTony Fadell. Developers around the world use Nylas to quickly and securely build email, scheduling, and work automation features into their applications. Nylas customers include Upwork, Wix, Freshworks, Lever, Dialpad, Ceridian, andMove.com.\n\nOur Work Philosophy\nNylas is also big believers in the safety and well-being of our employees and society, which is why we are onboarding all new Nylanauts remotely during this global pandemic until there is a vaccine and it is safe for humans to resume their pre-COVID lifestyles.\n\nAND once COVID-19 pandemic eventually comes to an end, we will continue to embrace Remote First philosophy, with a minor twist: Remote First, Office Second. That's right! It's about how you work, not where you work. Nylanauts can choose any workspace or environment that will result in more ideas, engagement, creativity, focus, collaboration, and productivity. It's true. They can go anywhere as long as they respect the working hours (time zones) of their team. Wherever motivates them; inspires them to be better versions of themselves. This means Nylanauts can work from the slopes of Missoula before traveling to the beaches of San Diego. Wonderful!\n\nAnd if Nylanauts want to work from an office in one of our hubs (San Francisco, Denver, New York City, Toronto, and London), they can. Go ahead! The workspace is there to be utilized.\n\nWhy Remote First, Office Second? Because we not only believe in respecting individual working styles, disabilities, and personal schedules, but also ensuring everyone has a better work-life balance. The outcomes will always be more important than the physical location.\n\nSo, if youre looking to join a fast-growing company with a beloved, daily-use product, and an authentic mission that puts people first, we want to meet you. Want to know more? Check us out on Comparably and Great Place to Work!\n\nRecent Awards:\nFastest Growing Companies (Inc 500)\n2020 Great Place to Work (Great Place to Work)\n2020 Best Places for Professional Development (Comparably)\n2019 Best Leadership Team (Comparably)\n2020 Happiest Employees (Comparably)\n2020 Best Companies for Compensation (Comparably)\n2020 Best Companies for Perks & Benefits (Comparably)\n2020 Best Companies for Work-Life Balance (Comparably)\n\nAbout the team\nThe Intelligence team at Nylas is responsible for the forward development of various services that build on top of emails, calendars, and contacts. We utilize natural language processing, machine learning, and integrations with external APIs to categorize and contextualize information for developers to build an intelligence layer on top of Nylas world-class communications layer.\n\nAbout the role\nThis role will be responsible for designing, developing, and deploying various solutions from rule-based to deep learning models leveraging on Natural Language Processing to extract information and gain insight into emails, calendars, and contacts. In this role, 70% of your time will be dedicated to performing SWE and MLOps tasks, and 30% to developing new models. Reporting to the Director, Software Engineering, you will join a robust and growing team that is geographically distributed and extremely collaborative. \n\nNylas is registered as an employer in many, but not all, states/provinces. If you are not located in or able to work from a state/province where Nylas is registered, you will not be eligible for employment. Visa sponsorship may not be available in certain remote locations.\n\nNylas is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also EEO is the Law.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Executive, Senior and Customer Support jobs that are similar:\n\n $70,000 — $100,000/year\n \n\n#Location\nToronto, ON


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Loadsmart


 
$70k - $120k*

senior

 

engineer

Loadsmart is hiring a
Remote Senior Machine Learning Engineer

Who we are:\nWe are industry veterans and data-scientists using innovative technology to fearlessly reinvent the future of freight. As the nerds of logistics, we seek intelligence in data to solve deep rooted inefficiencies in the industry. We give shippers, brokers and carriers access to our data connections that link supply and demand and a suite of award-winning solutions to strike the perfect balance of cost and service. Were creating a more efficient and environmentally responsible way to move more with less.\n\nWho you are:\nYou believe in game-changing innovations and are excited about reimaging a 700 billion dollar industry. You know how to take ideas, optimize them, and push it into production code using Python. You have experience putting your machine learning models in production, and know your way around databases and ETLs. You like working in a hands-on environment and enjoy teamwork.\n\nWhere we are:\nLoadsmart was founded in New York and is currently headquartered in Chicago, IL. Our teams operate remotely from different parts of the United States as well as in several locations across Latin America.\n\nThe role:\nWe are looking for a Sr. Machine Learning Engineer to work remotely from Lat-Am. You'll join us in obsessing about transformational technology as part of one of our Data Science teams. You should have experience and proven ability to analyze data, create machine learning models, implement APIs to serve these models, and write ETLs and data pipelines to push these models to production. Our technology stack on the backend is primarily on top of Docker, Kubernetes and Python.\n\n\nBecause we are an international company, we only accept resumes in English.\n\nAt Loadsmart, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. Loadsmart treats all candidates and employees with respect and does not discriminate in our recruiting, hiring, and promoting processes, including on the basis of race, color, religion, sex, age, sexual orientation, gender identity and/or expression, national origin, veteran status, or disability.\n\n#LI-Remote\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Senior and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n


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AI FinTech


 
$80k - $130k*

AI FinTech is hiring a
Remote Machine Learning Data Scientistitemize

\nABOUT THE ROLE\n\nThe Machine Learning Data Scientist will join a team of engineers innovating new techniques for applying Artificial Intelligence, Machine Learning, and data analytics techniques to transform unstructured images and files into financial data sets.\n\nThe Machine Learning Data Scientist’s responsibilities will include:\n\n\n* Develop machine-learning models, services, and modules for document classification and information extraction\n\n* Build pipelines and processes for model development, experimentation and scaled production scoring\n\n* Identify and develop new modeling techniques and/or technologies to complement existing ML processes and improve extraction rates and confidence\n\n* Measure, improve, and validate confidence scores through rigorous and continuous testing\n\n* Improve verification and validation functionality\n\n* Apply machine learning and data science techniques and design distributed systems\n\n\n\n\nSKILLS AND EXPERIENCE\n\n\n* Bachelor’s Degree in Computer Science or Engineering\n\n* 3+ years software development experience in a professional work environment\n\n* Strong software engineering background with emphasis in data science and machine learning\n\n* Experience in some of the following ML frameworks: Tensorflow, pandas, pytorch, xgboost, numpy, keras, scikit-learn, dask, spark\n\n* Demonstrable knowledge and understanding of Statistics and Deep Learning concepts\n\n* Understanding of probability and statistics and machine learning concepts such as precision, recall, optimization, hyperparameter tuning, overfitting, and interpretability\n\n* Understanding of how components and processes work together and communicate with each other using library calls, RESTful APIs queueing/messaging systems and database queries\n\n* Familiar with SQL, and able to create/perform basic queries\n\n* Fluent in Linux based systems, Docker, and code versioning tooling (Git/CI/CD)\n\n* Familiarity with AWS cloud services\n\n* Strong interpersonal communications skills (verbal, presentation, and written)\n\n\n\n\nWHAT WE OFFER\n\n\n* High energy atmosphere of an AI-driven FinTech scaleup that has great traction towards global success and already serves clients across four continents, including Fortune 500 companies. And we are just getting started!\n\n* We value education and professional development and offer opportunities for our employees to grow and learn in their roles and within the industry\n\n* Enjoyable working environment: A diverse international team of techies, dog lovers, globetrotters, and musicians. We offer flexible PTO and a generous benefits package, and highly value independence. Our team enjoys spending time together with fun virtual activities and we look forward to re-establishing face to face events soon!\n\n\n\n\n\nItemize is an Equal Opportunity Employer. Itemize does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by applicable law. All employment is decided on the basis of qualifications, merit, and business need. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning jobs that are similar:\n\n $80,000 — $130,000/year\n


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PostEra


verified
Santa Clara, CA, USA / Remote
 
$75k - $125k*

senior

 

y combinator

PostEra is hiring a
Remote Senior Machine Learning Researcher

\n\n\nSkills: Torch/PyTorch, Python, Machine Learning, Deep Learning, Reinforcement learning (RL), Natural Language Processing, Amazon Web Services (AWS)\n\n\n\n\nPostEra is building a one-stop-shop for medicinal chemistry to serve the world's drug hunters.\n\n\n\n\n\nThis role will be focused on developing machine learning algorithms to design molecular structures, forecast chemical properties and predict the outcomes of organic synthesis -- a problem akin to that of games like Go and Chess but with huge therapeutic implications for patients around the world!\n\n\n\n\n\nThe candidate will work directly with Dr Alpha Lee, a world leader in machine learning for drug discovery, and support ongoing projects with pharma and biotech clients in their drug discovery efforts, as well as developing new machine learning techniques. We envisage that some of the work will be showcased at top conferences/journals -- giving back to the scientific community is a core value of PostEra as evidenced by our recent project leading the COVID Moonshot initiative: https://postera.ai/covid\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Senior jobs that are similar:\n\n $75,000 — $125,000/year\n \n\n#Location\nSanta Clara, CA, USA / Remote


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Automattic


 
$75k - $125k*

engineer

Automattic is hiring a
Remote Machine Learning Engineer

\nMachine Learning Engineer\n\nWe are the company behind WordPress.com, Jetpack, WooCommerce and Tumblr. We are looking for someone to join a team of data scientists and software engineers to build, deploy, and iterate on applications involving time series analysis, machine learning, natural language processing and/or search. \n\nWhat have we worked on recently?\n\nWe help our users to create powerful sites with ease and enable our colleagues to support our users. Our completed and ongoing projects include\n\n\n* Elfbot – a machine learning project to automatically tag chat transcripts from our live chat user support. \n\n* Automated anomaly detection on business and user data.\n\n* A new Jetpack Search experience with instant search and improved relevance.\n\n* A generalized machine learning pipeline to build audiences for marketing and engagement.\n\n\n\n\nHow do we work?\n\n\n* We’re kind to each other and our users – we strive to build a positive, supportive, and inclusive culture of cohesive teams focused on delivering value to our customers.\n\n* We work as a global and distributed workforce resulting in a unique way of working built around our creed. \n\n* We offer flexible work arrangements allowing our team members to work when they feel best.\n\n* We welcome collaboration, and you can be involved in any discussion across our many communication channels.\n\n\n\n\nEnough about us, let‘s talk more about you. The Machine Learning Engineer position might be a good fit if you:\n\n\n* Have hands-on experience in building and deploying data-intensive applications to production. You care about building reliable and testable infrastructure and pipelines. Familiarity with the Hadoop ecosystem and cloud computing services like AWS and GCP will be advantageous.\n\n* Are motivated to propose technical solutions, own software architecture, evaluate technologies and infrastructure, or develop technical roadmaps for future applications. \n\n* Have a demonstrated interest in understanding machine learning techniques and workflows like data preprocessing, feature extraction, and training and evaluation of classification and regression models.\n\n* Bring programming skills in multiple programming languages and paradigms. You are likely to encounter Python, PHP, Scala, and SQL in this role and the idea of using them on a regular basis should not be a blocker for you.\n\n* Are familiar with professional software engineering methods and standards such as coding conventions, code reviews, continuous integration, build processes, testing, and operations.\n\n* Are open and able to travel 3-4 weeks per year to meet your teammates in person. We hold an annual all-company meeting every year, and meet up with our teams for a week once or twice per year.\n\n\n\n\nLike all positions at Automattic, you’ll work remotely, and can be based wherever you live.\n\nABOUT AUTOMATTIC\n\nWe are the people behind WordPress.com, WooCommerce, Jetpack, Simplenote, Longreads, VaultPress, Akismet, Gravatar, Crowdsignal, Cloudup, and more. We believe in making the web a better place.\n\nWe’re a distributed company with more than 1100 Automatticians in 65+ countries speaking 75+ different languages. Our common goal is to democratize publishing so that anyone with a story can tell it, regardless of income, gender, politics, language, or where they live in the world.\n\nWe believe in Open Source and the vast majority of our work is available under the GPL.\n\nDIVERSITY & INCLUSION AT AUTOMATTIC\n\nWe’re improving diversity in the tech industry. At Automattic, we want people to love their work and show respect and empathy to all. We welcome differences and strive to increase participation from traditionally underrepresented groups. Our D&I committee involves Automatticians across the company and drives grassroots change. For example, this group has helped facilitate private online spaces for affiliated Automatticians to gather and helps run a monthly D&I People Lab series for further learning. Diversity and Inclusion is a priority at Automattic, though our dedication influences far more than just Automatticians: We make our products freely available and translate our products into and offer customer support in numerous languages. We require unconscious bias training for our hiring teams and ensure our products are accessible across different bandwidths and devices. Read more about our dedication to diversity and inclusion.\n\nHOW TO APPLY\n\nDoes this sound interesting? If yes, click the Apply link below and fill out our application form. In your cover letter, let us know what you can contribute to the team. Proofread! Make sure you spell and capitalize WordPress and Automattic correctly. We are lucky to receive many applications for this position, so try to make your application stand out.\n\nApply for this Job\n\nIf you’re reading this on a site other than automattic.com please ensure you visit automattic.com/work-with-us for the latest details on applying. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Machine Learning, Engineer jobs that are similar:\n\n $75,000 — $125,000/year\n


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Senseye


 
$70k - $130k*

golang

 

engineer

Senseye is hiring a
Remote Machine Learning Engineer

Southampton, United Kingdom - We are seeking an ambitious and versatile Machine Learning Engineer, whose responsibility will be to understand research generated by our researchers and put this into production software. You will work closely with the wider development and R&D teams to bring... \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Golang, Machine Learning and Engineer jobs that are similar:\n\n $70,000 — $130,000/year\n


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AgFlow


 
$70k - $120k*

dev

 

engineer

 

AgFlow is hiring a
Remote Software Engineer Machine Learning Specialist

Full Time: Software Engineer & Machine Learning Specialist at AgFlow at AgFlow in Geneva / Remote \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on previous jobs related to Developer, Machine Learning and Engineer jobs that are similar:\n\n $70,000 — $120,000/year\n


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