This job post is closed and the position is probably filled. Please do not apply. Work for DeSci Labs and want to re-open this job? Use the edit link in the email when you posted the job!
Location: Remote (preferably you are located between the GMT and GMT+7 time zone: Europe, Africa, Asia)
We offer:
Flexibility: Remote work is the default. Office space in Amsterdam can be arranged, and co-working in Amsterdam and other locations is possible.
Competitive pay.
Equity stake in the company.
A fun, ambitious, and highly talented team.
Annual global company retreat in the world's most captivating locations.
Generous tech allowance.
Flexible travel support for approved business trips.
You will have a clear impact and responsibility from day 1.
Job Requirements
Requirements:
Excited to change the world and solve challenging problems.
Ability to ship code quickly and efficiently.
Proficiency in Python or another major programming language.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
Strong understanding of data structures and algorithms.
Ability to work with version control systems (e.g., Git).
Good communication skills and the ability to work in a team environment.
We are impressed by:
Experience building and optimizing end-to-end machine learning pipelines, including data ingestion, preprocessing, feature engineering, model training, validation, and deployment.
Hands-on experience training a variety of models, including supervised and unsupervised learning models, deep learning models, and reinforcement learning models using tools like TensorFlow, PyTorch, scikit-learn, and other ML frameworks.
Expertise in using command line tools and scripts to preprocess large datasets efficiently.
Proficiency in hyperparameter tuning, model evaluation, and cross-validation techniques to ensure robust model performance.
Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying and scaling AI solutions.
Experience with MLOps practices to automate and streamline model deployment and monitoring.
Knowledge of data visualization tools and techniques to communicate model insights effectively.
Contributions to the AI/ML community through publications, open-source projects, or relevant forums.
Advanced degrees in a relevant field (Computer Science, Data Science, etc.).
DeSci Labs is an open-source software startup with strong R&D capabilities, dedicated to building infrastructure and innovative products for scientific communication. Backed by $6.5M in funding from leading investors, our mission is to revolutionize the way science is published, validated, curated, and exchanged. We believe in openness, fairness, and truth-seeking.
What We're Building
Our products are designed to accelerate scientific progress by addressing the current system’s shortcomings. We create tools that recognize and reward high-quality science, fostering an environment where the scientific community can thrive through genuine innovation and rigorous research.
Our first application is Nodes, an interactive online platform that lets researchers create, validate, and curate research objects. Research objects are versionable publications that contain a broad range of components such as manuscripts, data, code, and all other files and objects related to scientific research. We will import over 50 million open-access research articles into the Nodes platform this summer, which requires the development of powerful search, browse, sort, and filter functionalities. Nodes will also gain AI capabilities, social features, and unique metrics that require thoughtful product design. Furthermore, Nodes will evolve into a publication platform that enables research-owned scientific journals and communities without paywalls or author publication charges.
We are also developing CODEX (for “Collaborative Data Exchange”). This open scholarly infrastructure protocol aims to weave the truly persistent fabric of the scientific record, where publications and their artifacts can be addressed with high granularity in a participatory open-state repository.
These products will be combined with an incentive layer that rewards communities, journals, and referees for high-quality validation and curation services around scholarly content.
Culture
We value a collaborative and dynamic atmosphere. As a young startup, we support and encourage professional growth: We always find opportunities to expand our skill sets and take on new responsibilities.
We offer flexible remote work arrangements, but we recognize the value of face-to-face interaction for strengthening cohesiveness and creativity in our team. That’s why we offer office space in Amsterdam and bring the full team together at least once a year in inspiring locations. We are an equal-opportunity employer. Join us in shaping our dynamic and innovative company culture.
Please mention the word TRIVIALLY when applying to show you read the job post completely (#RMjE2LjczLjIxNi4zOA==). This is a feature to avoid fake spam applicants. Companies can search these words to find applicants that read this and instantly see they're human.
Salary and compensation
$30,000 — $50,000/year
Benefits
🌎 Distributed team
⏰ Async
🏖 Paid time off
🏔 Company retreats
🖥 Home office budget
💰 Equity compensation
👀 No monitoring system
🚫 No politics at work
How do you apply?
This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for AssemblyAI and want to re-open this job? Use the edit link in the email when you posted the job!
AssemblyAI is a remote-first AI company building powerful deep learning models for developers, startups, and enterprises to transcribe and understand their audio data.
Our ASR models already outperform companies like Google, AWS, and Microsoft - which is why hundreds of companies and thousands of developers are using our APIs to transcribe and understand millions of videos, podcasts, phone calls, and zoom meetings every day. Our APIs power innovative products like conversational intelligence platforms, zoom meeting summarizers, content moderation, and automatic closed captioning.
AssemblyAI’s Speech-to-Text APIs are already trusted by Fortune 500s, startups, and thousands of developers around the world, with well-known customers including Spotify, Algolia, Dow Jones, Happy Scribe, BBC, The Wall Street Journal, and NBCUniversal. As part of a huge and emerging market, AssemblyAI is well on its way to becoming the leader in speech recognition and NLP.
We're growing at breakneck speed, and recently announced our Series B round. We've raised $63M in total funding, and are backed by leading investors including Insight Partners, Accel, Y Combinator, Patrick and John Collision (Founders of Stripe), Nat Friedman (Former CEO of GitHub), and Daniel Gross (Entrepreneur & Investor in companies including GitHub, Uber & SpaceX)!
Our ambition is to build an iconic AI company, making advanced deep learning technology accessible to everyday developers through a simple API, good docs, and a great developer experience.
Join our world-class, remote team and help us build an iconic deep learning company!
Our Team
Our team is made up of problem solvers, innovators and top AI researchers with over 20+ years of experience in Machine Learning, NLP, and Speech Recognition from companies like DeepMind, Google Brain, Meta, Apple and Amazon. They conduct cutting edge deep learning research and develop novel algorithms & techniques to continually push the state of the art in speech recognition & NLP!
Our team is fully remote, and our culture is super collaborative, low-ego, transparent, and fast-paced. We want to win - and have a flat organization where everyone can openly share ideas (regardless of their title or position) in order to get the best idea.
As a remote company, our team members are given a lot of trust and autonomy to work where and how they want. We look for people to join our team who are ambitious, curious, and self-motivated, and we put a lot of trust and autonomy into everyone on our team. We want to empower everyone to do their best work with whatever tools, structures, or resources they need to perform at their highest potential.
The Role
We're looking for a senior backend engineer with strong software and cloud engineering skills. You'll help us build highly scalable developer-centric APIs and backend systems powered by state-of-the-art ML models. Some of your responsibilities will include:
Build new API features and endpoints
Build automated test suites and CI/CD pipelines
Build highly scalable event-driven and realtime systems
Instrument systems with metrics, tracing, and logging
Refactor applications to eliminate tech debt
Troubleshoot production issues
You'll love this job if you....
Enjoy solving complex technical problems, even when there is no perfect solution.
Enjoy being in a fast-paced, customer-facing role.
Thrive in small, cross-functional teams. We like to wear many hats here!
You're excited to tackle big technical challenges like building highly scalable architectures and achieving zero-downtime deploys.
Requirements
6+ years of professional experience building backend applications using any popular language such as Python, Java, C#, JavaScript, Go, C/C++
4+ years of experience working with Python
4+ working with Python backend frameworks like Django, Flask, or Tornado
3+ years of working with SQL and NoSQL databases
3+ years of production support experience
3+ years working with common AWS services
2+ years developing REST APIs
Experience migrating systems to meet increasing traffic/scale
Startup or FAANG-type experience - Has worked at a startup or high growth company
Deep AWS knowledge - Has many years of experience solutioning within AWS
Strong Python coding abilities - Can pass difficult programming challenges in a relatively short period of time. Can speak clearly about their thinking throughout these challenges. Can speak to O-notation of algorithms. Has excellent knowledge of common python idioms and libraries.
High scalability experience - Has been a tech leader on scaling systems to hundreds of millions of requests/events per day. Has experience with hyper-observability, scaling algorithms, and using production data to drive system changes
Skills
Amazing system design chops - When given a hard problem to solve with a new system, they can quickly shape an effective design and communicate its strengths, weaknesses, and tradeoffs.
High-octane thinking - Engages deeply on subjects of expertise. Thinks ahead many steps and can see where decisions are likely to lead. Their brains compute at a very high level.
Extremely creative - Can find both novel and effective solutions within highly constrained time and resources
Fast learner - Has shown they can ramp up on difficult topics very fast
Exceptional gut instincts - Can practically feel when something is right or wrong. Can use these instincts to quickly point themselves in the right direction.
Opinionated - They have convictions in what they believe and can communicate their position clearly without drama.
Nice to Have
Machine learning experience - Has worked with machine learning models at scale
Experience integrating and deploying ML models into production
Benefits (US)
Competitive Salary + Bonus
Equity
100% Remote team
Unlimited PTO
401K
Premium Healthcare (100% Covered for you + dependents)
Vision & Dental Care
$1K budget for your home office setup
New Macbook Pro (or PC if you prefer)
3-4x/year company paid team retreat
Please mention the word COMPASSIONATE when applying to show you read the job post completely (#RMjE2LjczLjIxNi4zOA==). This is a feature to avoid fake spam applicants. Companies can search these words to find applicants that read this and instantly see they're human.
Salary and compensation
$120,000 — $200,000/year
Benefits
💰 401(k)
🌎 Distributed team
⏰ Async
🤓 Vision insurance
🦷 Dental insurance
🚑 Medical insurance
🏖 Unlimited vacation
🏔 Company retreats
🏬 Coworking budget
🖥 Home office budget
💰 Equity compensation
🚫 No politics at work
🎅 We hire old (and young)
How do you apply?
This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Carted and want to re-open this job? Use the edit link in the email when you posted the job!
**OUR STORY**\n\nWe’re 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\nPlease mention the word **PEPPED** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4zOA==). This is a 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\nWorldwide
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Tesla and want to re-open this job? Use the edit link in the email when you posted the job!
**The Role**\n\nAs a member of the Autopilot AI Tooling team you will design and implement a diverse set of tools that power our machine learning workflows. You will work closely with some of the best, world-class AI researchers and machine learning experts towards Tesla’s goal of a self-driving future. \n\nThe AI Tooling team is a central part of Autopilot AI. The systems you build will have a large impact on the entire lifecycle of model development. This includes data processing, data discovery, annotation, and visualization. This also includes tools that help us automate the entire workflows of training, validation, and productionization of our Autopilot neural networks. \n\nAs an engineer on the AI Tooling team, you bring top-notch software engineering skills and can contribute to our tooling systems immediately. Knowledge of machine learning, computer vision, or neural networks is a plus but not required. That can be learned on the job as you work with our machine learning experts. A strong candidate for the AI Tooling team will either be an excellent software generalist, or someone who is exceptionally strong in either backend or frontend engineering.\n\n**Responsibilities**\n\nDesign and implement large-scale data processing pipelines that handle a diverse set of Autopilot related data such as images, sensor inputs, and human labels.\nDesign and implement tools, tests, metrics, and dashboards to accelerate the development cycle of our model training.\nWork closely with frontend engineers to seamlessly integrate with backend systems.\nWork closely with AI researchers to support evolving research projects and implement new production features.\n\n**Requirements**\n\nBS/MS in Computer Science or related field, or equivalent industry experience.\nStrong knowledge of at least one programming language related to data engineering, such as Python or Scala is required.\nExperience with scientific computing libraries such as numpy, pandas, or scikit-learn is a plus.\nExperience with big data systems such as Spark, Hadoop/MapReduce is a plus.\nExperience with cloud computing such AWS EC2/S3/RDS is a plus.\nExperience with ElasticSearch or other scalable search systems is a plus.\nExperience with real-time data processing is a plus.\nKnowledge of machine learning, computer vision, or neural networks is a plus but not required.\nTesla participates in the E-Verify Program\n\nTesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.\n\nTesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process. \n\nPlease mention the words **FOREST SHED CERTAIN** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4zOA==). This is a 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#Location\nPalo Alto, Austin or Remote
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Ampcontrol.io and want to re-open this job? Use the edit link in the email when you posted the job!
## 🚀About [Ampcontrol](https://www.ampcontrol.io/)\n\nWe're Ampcontrol, an AI-powered software for electric vehicle (EV) charging.\n\nWe're team of engineers and energy experts, building the new way of EV charging. We help companies to install more charging stations for electric vehicles and to build intelligent electric fleet systems. Our cloud-software is used around the world and has received major industry prizes. We're based in Europe and in the U.S. and are venture backed with leading investors from around the world. We are a remote-first team with current members in Berlin, New York and other locations in Europe.\n\n([link to website](https://www.ampcontrol.io/))\n\n\n[→ click to see all jobs ](https://www.notion.so/Open-Jobs-at-Ampcontrol-io-e2879a73ba344daea679556a7391fcaf)\n\n\n## 🌎 Our Mission\n\nWe're on a mission to help the transition to 100% electric vehicles.\n\nWe believe in a future of self-managing, reliable, and affordable charging for companies, fleet operators, and humans on our planet.\n\n## 💻 The Role\n\n- You'll be responsible for building, maintaining and improving our backend system, including the core optimization system and our customer facing APIs\n- Develop our Python3/Flask API further, with an eye on performance and scalability\n- Work with data scientists to build a stable and powerful architecture for ML-applications for real-time optimization\n- Build, maintain, migrate databases and accommodate time-series data\n- Write clean and easily maintainable code for our optimization engine with a focus on reliability and scalability\n- Work very closely with other developers, data scientists, product management and sales\n- Contribute to the improvement of our software architecture and development process\n- Keep in touch with new and upcoming technologies and be eager to offer new solutions\n\n## ⭐ You have\n\n- More than 2 years of professional experience in software development\n- Solid experience in Python programming\n- Experience in at least one cloud computing platform\n- Experience in SQL\n- Working knowledge of advanced logging, monitoring, metrics and alerting\n- A good understanding of DevOps tools and methods, including end-to-end testing\n- Fluency in English for verbal and written communication is required\n- Comfortable working in remote environments\n- Motivation to work on electric vehicles and sustainability\n\n## 📚You're willing to learn about\n\n- IoT Hubs and IoT protocols\n- NoSQL and time-series databases\n- Docker and Kubernetes\n- The electric vehicle charging domain\n- Working with and transforming code written by data scientists\n\n \n\nPlease mention the words **LAMP PROBLEM GROUP** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4zOA==). This is a 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#Location\nUnited States, Canada, North America, EU
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Cisco Meraki and want to re-open this job? Use the edit link in the email when you posted the job!
🤖 Closed by robot after apply link errored w/ code 404 3 years ago
\nPosition: Sr. or Team Lead Machine Learning Engineer, Full Time\n\nLocation: Fully Remote anywhere in the USA or optional office location in SF\n\nAt Cisco Meraki, we know that technology can connect, empower, and drive us. Our mission is to simplify technology so our customers can focus on what's most meaningful to them: their students, patients, customers, and businesses. We’re making networking easier, faster, and smarter with technology that simply works.\n\nAs a Machine Learning engineer on the Insight team, you will collaborate with firmware and full stack engineers to design, plan, and build customer-facing analytics tools. Meraki's cloud-managed model offers a unique opportunity to draw upon data from millions of networks across our wide ranging customer base. The goal is to use the rich telemetry data available from these networks and combine it with the power of machine learning and the cloud to build an analytics engine that can provide intuitive, yet detailed insights into the performance of customer networks.\n\nWhat you can expect:\n\n\n* Build a system that ingests real-time streams of network performance data and identifies network performance degradation, optimizing for both low latency and few false positives\n\n* Design models that predict network performance for customers to help them understand their network performance issues\n\n* Work with firmware and backend engineers to design uplink selection algorithm for SD-WAN\n\n* Collaborate with full stack engineers to make intuitive data visualizations and integrate predictions seamlessly and powerfully into the user experience\n\n* Build, maintain, and monitor data pipelines and infrastructure for training and deploying models\n\n\n\n\nWhat we're ideally looking for:\n\n\n* 5+ years of relevant industry experience\n\n* Advanced training in mathematics, statistics, and modeling\n\n* Experience programming in Python AND some other programming language like scala, golang, ruby, etc.\n\n* Experience working with algorithms and building models for supervised and unsupervised learning.\n\n* Experience using data processing and ML libraries such as Pandas, Scikit-Learn, Tensorflow, Keras, etc.\n\n* Experience working with distributed computing engines like Apache Spark, etc. and real time data streaming services like Amazon Kinesis.\n\n* Experience implementing and monitoring data pipelines.\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Engineer, Executive, Amazon, Cloud, Python, Apache and Backend jobs that are similar:\n\n
$75,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for PaperClip orporated and want to re-open this job? Use the edit link in the email when you posted the job!
\nWe are looking for an experienced Machine Learning Engineer to help us build-out artificial intelligence capabilities into our existing line of cloud product services. You will be responsible for developing software components for our products to utilize machine learning for the recognition of document image data, forms and handwriting. Your ultimate goal will be to shape and build efficient self-learning application subsystems to eliminate the need for human processing. \n\nResponsibilities Include:\n\n\n* Software architecture, design and implementation\n\n* Train & Validate TensorFlow Models for Hand Written Text Recognition\n\n* Deploy TensorFlow Models in Azure cloud that support multi-threading\n\n* Build a service (API) to access deployed model in Azure and validate image text\n\n* Create an automated schedule to daily train model with new data to improve accuracy\n\n* Build multiple versions of TensorFlow Model based on accuracy improvement and deploy improved model version to Azure cloud\n\n\n\n\nQualifications:\n\n\n* Bachelor degree in Computer Science / Engineering and 10+ years of software development experience\n\n* Proven experience with Machine learning technologies such as TensorFlow\n\n* Experience with Python, Python Packages, OpenCV and Keras\n\n* Experience with Microsoft Azure\n\n* U.S. citizenship required\n\n* Must pass a security background check.\n\n\n\n\nRequired skills:\n\n\n* Commercial application development experience\n\n* Ability to write robust code in Python, Java and C#\n\n* RESTful Web Service development\n\n* Must be able to work independently and remotely\n\n* Must be detail oriented with good oral and written communication skills\n\n\n\n\nThis position has possible option in future to hire into a full time permanent position. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Senior, Developer, Digital Nomad, Java, Cloud, Python, Microsoft and Engineer jobs that are similar:\n\n
$70,000 — $130,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Thrive Global and want to re-open this job? Use the edit link in the email when you posted the job!
\n Thrive Global is changing the way people live through our behavior change platform and apps used to impact individual and organizational well-being and productivity. The marriage of data and analytics, our best-in-class content and science-backed behavior change IP will help people go from knowing what to do to actually doing it, enabling millions of consumers to begin the Thrive behavior change journey. As a technical lead on Thrive’s Data Science and Analytics team, you will play a significant role in building Thrive’s platform and products.\n\nWho We Are Looking For\n\n\n* A versatile engineering lead who has significant experience with data at all levels of maturity: raw telemetry through deployment and maintenance of models in operations \n\n* Is excited about collaborating with others, engineering and non-engineering, both learning & teaching as Thrive grows.\n\n* An innovator looking to push the boundaries of automation, intelligent ETL, AIOps and MlOps to drive high-quality insights and operational efficiency within the team\n\n* Has a proven track record of building and shipping data-centric software products\n\n* Desires a position that is approximately 75% individual technical contributions and 25% mentoring junior engineers or serving as a trusted advisor to engineering leadership\n\n* Is comfortable in a high growth, start-up environment and is willing to wear many hats and come up with creative solutions.\n\n\n\n\nHow You’ll Contribute\n\n\n* Collaborate with the Head of Data Science and Analytics to design an architecture and infrastructure to support data engineering and machine learning at Thrive\n\n* Implement a production-grade data science platform which includes building data pipeline, automation of data quality assessments, and automatic deployment of models into production\n\n* Develop new technology solutions to ensure a seamless transition of machine learning algorithms to production software, to enable the building out of easy to use datasets and to reduce other friction points within the data science life-cycle\n\n* Assist with building a small but skilled interdisciplinary team of data professionals: scientists, analysts, and engineers\n\n* Consider user privacy and security at all times\n\n\n\n\nRequired Skills\n\n\n* Master’s or Ph.D. degree in Computer Science or a related discipline (e.g., Mathematics, Physics)\n\n* 3+ years of technical leadership, team size of 5 or more, in data engineering or machine learning projects\n\n* 8+ years of industry experience with data engineering and machine learning\n\n* Extensive programming experience in Java or Python with applications in data engineering and machine learning.\n\n* Experience with data modeling, large-scale batch, and real-time data processing, ETL design, implementation and maintenance\n\n* Excellent verbal and written communication skills\n\n* Self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real-world problems\n\n\n\n\nRelevant Technology and Tools Experience\nA good cross-section of experience in the following areas is desired:\n\n\n* AI/ML platforms: TensorFlow, Apache MXnet, Theano, Keras, CNTK, scikit-learn, H2O, Spark MLlib, AWS SageMaker, etc.\n\n* Relational databases: MySQL, Postgres, RedShift, etc.\n\n* Big data technologies: Spark, HDFS, Hive, Yarn, etc.\n\n* Data ingestion tools: Kafka, NiFi, Storm, Amazon Kinesis, etc.\n\n* Deployment technologies: Docker, Kubernetes, or OpenStack\n\n* Public Cloud: Azure, AWS or Google Cloud Platform\n\n\n\n\nOur Mission\nThrive Global’s mission is to end the stress and burnout epidemic by offering companies and individuals sustainable, science-based solutions to enhance well-being, performance, and purpose, and create a healthier relationship with technology. Recent science has shown that the pervasive belief that burnout is the price we must pay for success is a delusion. We know, instead, that when we prioritize our well-being, our decision-making, creativity, and productivity improve dramatically. Thrive Global is committed to accelerating the culture shift that allows people to reclaim their lives and move from merely surviving to thriving.\n\nWhat We Offer\n\n\n* A mission-driven company that’s truly making a difference in the lives of people around the world \n\n* Ability to develop within the company and shape our growth strategy\n\n* Human-centric culture with a range of wellness perks and benefits\n\n* Competitive compensation package\n\n* Medical, vision and dental coverage + 401k program with company match\n\n* Generous paid time-off programs \n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Engineer, Executive, Teaching, Amazon, Java, Cloud, Python, Junior and Apache jobs that are similar:\n\n
$75,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Simply Business and want to re-open this job? Use the edit link in the email when you posted the job!
\nIf you’re smart, passionate about technology and enjoy solving complex technical challenges then you should apply to join our best-in-class tech team. We believe that people are our most important asset and one worth protecting. As such, we’re known for creating an enviable working culture to keep our employees smiling on a day to day basis. \n\nWe offer things such as flexible hours, remote working, fortnigtly hackathons and freedom to work on projects of individual interest to name just a few. In fact, our impressive working culture has recently earned us 1st place in the Sunday Times 100 Best Companies to Work for 2015. \n\n\nWe have two different positions.\n\n\n1. Senior Developers who would like to lead a team / projects - We envisage the split here being about 70% hands-on coding and 30% leading the team, liaising with product owners on prioritization work, attending iteration planning meetings with stakeholders, delegating tasks to dev team, and making sure we are following Lean / Agile processes correctly.\n\n\n2. Senior Developers who want to be 100% coders (non-lead) - This role will be 100% hands on working with our other Devs to code beautiful products for our customers! \n\n\n\nSome of our Current Projects: \n\nSeedy - Our custom built CMS. A hybrid, markdown based, sinatra driven CMS but with a TDD undercurrent. Content changes are no different to backend refactoring. Templates are written in a custom DSL that enforces our style guide while still supporting iterative changes and automatic deployment. Across the company people (including business teams) are now being tagged in pull requests and even writing code!\n\nAerie - We’re overhauling our data and analytics architecture. Using the latest approaches in event streaming, we are building a brand new data pipeline based on Kinesis and Redshift that will support the analysis of both structured and semi-structured data in near real-time. This will provide rapid and intuitive customer insight to our decision makers, while also providing exciting machine learning capabilities back to our core product offering.\n\nAAA - We are enhancing our new world platform. Our current focus is on security with a view to building out ‘infrastructure as code’ using tools such as AWS CloudFormation, AWS OpsWorks, Chef/Puppet and many others. Essentially, we believe a well architected system allows us to avoid unnecessary complexity and can enable individuals to generate great output.\n\nOur Tech Stack\n\n\n\n\n* Ruby\n\n* Rails \n\n* Scala \n\n* MongoDB\n\n* RabbitMQ\n\n* Puppet/Boxen\n\n* AWS \n\n* Hadoop / RedShift / Looker /Tableau\n\n* Cucumber / RSpec / Jasmine \n\n* SASS / HAML / HTML5 / CSS3 / JavaScript / CoffeeScript / jQuery\n\n\n\n\n\nThis list changes all the time, as being on the lookout for new technology trials and opportunities is part of our code. We don’t believe in limiting ourselves, or the company. If there are other tools that could get the job done better, we’re committed to exploring them.\n\nThings we believe in:\n\n\n\n\n* TDD / BDD\n\n* Continuous Delivery\n\n* Pair Programming\n\n* Build – Measure - Learn\n\n* Active participation to open source\n\n* Our business people writing code (we've not seen this anywhere else!) \n\n* Cross functional teams (Dev / QA/ Data / UX / Product owners all sitting together) \n\n* Release early and learn quickly - we release our software to production around 15 times a day on average! \n\n* Continuous learning - we look to pay for courses and conferences and actively encourage our Devs to get out and about in the community. We have even sent some of our Devs to Miami, Portugal and Barcelona for conferences recently. \n\n* Have fun! We do ruby coding challenges during lunchtimes over pizza, we have desk beers on a friday, we have several social events throughout the year, we do fortnightly hackathons, we have afterwork clubs like: UX, Data science and Robotics club, we have flexible working hours, weekly 'show n tell' sessions, and lot's more! \n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to JavaScript, InfoSec, Java, Cloud, CSS, Quality Assurance, HTML, Python, Scala, Ruby, Admin, Machine Learning, Data Science, Senior, jQuery, Sys Admin, Backend, Design and Digital Nomad jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
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