\nWant to help us, help others? We’re hiring!\n\nGoFundMe is a global community of over 100 million people with the common purpose of helping one another. Our mission is to help people help each other by making it safe and easy for people to ask for help and support causes — for themselves, each other, and their communities. In 2022, GoFundMe joined together with Classy, a leading nonprofit fundraising software company that enables nonprofits to connect supporters with the causes they care about. Together, GoFundMe and Classy have empowered people and organizations to raise more than $30 billion since 2010. Our vision is to become the most helpful place in the world.\n\nJoin us! The GoFundMe team is searching for our next Senior Staff ML Engineer to help design and implement our next generation of machine learning and AI-based services. You will collaborate with an accomplished and motivated team of individuals to deliver high-impact solutions for our users and our business.\n\nThe Job…\n\n\n* Design and develop advanced machine learning models, model evaluation systems, and automated model training and deployment solutions.\n\n* Design and develop high throughput batch inferencing solutions as well as distributed, low latency real-time inferencing services.\n\n* Build efficient and robust systems to collect and prepare data for evaluation and model training.\n\n* Conduct research to identify, evaluate, and build features that improve model performance.\n\n* Evaluate and recommend opportunities to leverage data to grow the business and delight customers. \n\n* Collaborate with technical and nontechnical colleagues, including data scientists, engineers, product managers, and business stakeholders to drive the successful implementation of machine learning projects.\n\n* Coach and mentor other ML engineers and contribute to our culture of learning, innovation, and operational excellence.\n\n\n\n\nYou…\n\n\n* 9+ years of hands-on experience in machine learning, data science, and analytics with a consistent track record of successfully leading complex projects and deploying robust solutions into production environments.\n\n* Extensive knowledge of ML algorithms, including a deep understanding of statistical modeling, and Python development tooling and libraries (Pandas, Numpy, Scikit-learn, Pytest, PySpark, SQL, Airflow, MLflow, Hugging Face Transformers, Tensorflow or PyTorch).\n\n* Experience with LLMs, preferably including commercial solutions such as OpenAI API, Anthropic, AWS Bedrock, or open source models and frameworks like Hugging Face, LangChain, Llama-2, Falcon, Dolly, etc.\n\n* Demonstrated ability to mentor ML engineers, fostering a collaborative and high-performing environment.\n\n* Strong analytical and problem-solving skills, with the ability to apply creative solutions to real-world challenges.\n\n* Comfortable experimenting with and incorporating cutting-edge techniques into our existing system.\n\n* Excellent verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.\n\n* A Masters or Ph. D in Computer Science, Statistics, Data Science or related field is preferred.\n\n* Sense of humor (optional but appreciated).\n\n\n\n\nWhy you’ll love it here...\n\n\nMarket competitive pay\n\nRich healthcare benefits including employer paid premiums for medical/dental/vision (100% for employee only plans and 85% for employee + dependent plans) and employer HSA contributions. \n\n401(k) retirement plan with company matching\n\nHybrid workplace with fully remote flexibility for many roles\n\nMonetary support for new hire setup, hybrid work & wellbeing, family planning, and commuting expenses\n\nA variety of  mental and wellness programs to support employees   \n\nGenerous paid parental leave and family planning stipend\n\nSupportive time off policies including vacation, sick/mental health days, volunteer days, company holidays, and a floating holiday\n\nLearning & development and recognition programs\n\nGives Back Program where employees can nominate a fundraiser every week for a donation from the company\n\nInclusion, diversity, equity, and belonging are vital to our priorities and we continue to evolve our strategy to ensure DEI is embedded in all processes and programs at GoFundMe. Our Diversity, Equity, and Inclusion team is always finding new ways for our company to uphold and represent the experiences of all of the people in our organization.\n\nEmployee resource groups\n\nYour work has a real purpose and will help change lives on a global scale.\n\nYou’ll be a part of a fun, supportive team that works hard and celebrates accomplishments together. \n\nWe live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose\n\nWe are a certified Great Place to Work, are growing fast and have incredible opportunities ahead!\n\n\n\n\nGoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We are committed to providing diversity, equity, and inclusion training to all employees, and we do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.\n\nThe total annual salary for this full-time position is $175,000- $240,000 + equity + benefits.  As this is a remote position, the salary range was determined by role, level, and possible location across the US. Individual pay is determined by work location and additional factors including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range based on your location during the hiring process.\n \n\nIf you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at [email protected].\n\nDedication to Diversity \n\nGoFundMe and Classy are committed to leveraging Diversity, Equity, Inclusion, and Belonging to cultivate a culture that embraces and supports the unique identities, experiences, and perspectives of our people and customers.\n\nOur diversity recruiting priority is recognized under our first DEIB Driver: Opportunity Foster Diversity - we identify, recruit, and invest in top talent- ensure our people reflect the unique identities, experiences, and perspectives of the communities we serve and are all given the chance to grow.\n\nGlobal Data Privacy Notice for Job Candidates and Applicants:\n\nDepending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. \n\nLearn more about GoFundMe:\n\nWe’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘23 annual report.\n\nOur annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.\n\nFor recent company news and announcements, visit our Newsroom. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Embedded, Python, Recruiter, Senior and Engineer jobs that are similar:\n\n $60,000 — $112,500/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

\nLatitude AI (lat.ai) is an automated driving technology company developing a hands-free, eyes-off driver assist system for next-generation Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.  \n\nWhen you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people. \n\nAs a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.\n\nMeet the team:\n\nThe Perception Anomaly Detection team at Latitude is responsible for detecting and handling scenarios outside the vehicle's known operational domain. This includes identifying out-of-distribution or unknown objects and scenarios as well as environmental conditions such as precipitation and low visibility. Equipping our perception system with the ability to say 'no' when faced with unfamiliar input is an essential necessity, particularly in safety-critical applications.\n\nOur team integrates these systems onboard and evaluates their performance offboard to ensure they align with our safety case needs. We work closely with systems engineering to develop a formal validation story and ensure the vehicle operates correctly while requesting that the user retakes control in the previously described situations. As the lead for this team, you will have a unique opportunity to transform research concepts into practical solutions that have a significant impact on our product.\n\nWhat you’ll do: \n\n\n* Develop innovative and scalable solutions for anomaly detection, using cutting-edge technologies and best practices\n\n* Collaborate closely with internal perception experts and external stakeholders to ensure seamless integration of software and systems\n\n* Champion safety and quality standards throughout the software development lifecycle, from design to deployment\n\n* Continuously evaluate and optimize software performance, using data-driven insights and feedback from stakeholders\n\n* Stay up-to-date with emerging trends and technologies in the field, and share knowledge with the team\n\n* Build and maintain industry-leading software practices and principles\n\n\n\n\nWhat you'll need to succeed:\n\n\n* Bachelor's degree in Computer Science, ECE, Robotics, Physics, Mathematics, or related field and 2+ years of experience\n\n* 2+ years of experience in computer vision, machine learning and deep learning\n\n* 2+ years of experience in C++ or Python software development\n\n* Track record of Deep learning research and development, ML research and development and/or AI research and development. \n\n* Track record of product development culminating in successful launches/releases/etc\n\n\n\n\nNice to have: \n\n\n* Master’s or PhD degree in Robotics, ECE, Computer Science, or a related field\n\n* Track record of technical leadership (not limited to management) taking products or large features from research to consumer release\n\n* Experience in the field of autonomous driving\n\n\n\n\nWhat we offer you:\n\n\nCompetitive compensation packages\n\nHigh-quality individual and family medical, dental, and vision insurance\n\nHealth savings account with available employer match\n\nEmployer-matched 401(k) retirement plan with immediate vesting\n\nEmployer-paid group term life insurance and the option to elect voluntary life insurance\n\nPaid parental leave\n\nPaid medical leave\n\nUnlimited vacation\n\n15 paid holidays\n\nComplimentary daily lunches, beverages, and snacks for onsite employees\n\nPre-tax spending accounts for healthcare and dependent care expenses\n\nPre-tax commuter benefits\n\nMonthly wellness stipend\n\nAdoption/Surrogacy support program\n\nBackup child and elder care program\n\nProfessional development reimbursement\n\nEmployee assistance program\n\nDiscounted programs that include legal services, identity theft protection, pet insurance, and more\n\nCompany and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives\n\n\n\n\nThe expected total salary range for this full-time position in California is $240,960-$300,320 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.\n\nLearn more about Latitude’s team, mission and career opportunities at lat.ai!\n\nCandidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.\n\nWe are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Travel, Cloud, Legal and Engineer jobs that are similar:\n\n $65,000 — $117,500/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
\n\n#Location\nPittsburgh, Pennsylvania, United States

\nCompany Description\n\nAmwell is a leading telehealth platform in the United States and globally, connecting and enabling providers, insurers, patients, and innovators to deliver greater access to more affordable, higher quality care. Amwell believes that digital care delivery will transform healthcare. We offer a single, comprehensive platform to support all telehealth needs from urgent to acute and post-acute care, as well as chronic care management and healthy living. With over a decade of experience, Amwell powers telehealth solutions for over 150+ health systems comprised of 2,000 hospitals and 55 health plan partners with over 36,000 employers, covering over 80 million lives.\n\nBrief Overview:\n\nWorking closely with cross-functional business partners, the Data Scientist will support development of data assets, statistical analyses, and analytic insights that drive operational performance, client performance, industry knowledge, and product innovation.\n\nThe ideal candidate is a self-starter with insatiable curiosity.  S/he must be able to proactively identify and lead opportunities to improve processes and deliverables while demonstrating quality and accuracy of data assets and analytic deliverables through close attention to detail and strong follow-through.\n\nCore Responsibilities:\n\n\n* Support development of scalable and automated analytic processes and workflows\n\n* Support development of ETL data flows\n\n* Ensure quality and accuracy of data\n\n* Support development of novel data assets (e.g., data enrichment and integration) and metrics (e.g., feature engineering and data reduction)\n\n* Support development of statistical analyses, e.g. exploratory data analysis, unsupervised and supervised learning and statistical modeling (including machine learning)\n\n* Support development and deployment of statistical/machine learning models\n\n* Support design and execution of experiments\n\n* Support initiatives to improve processes for, and quality of, data assets and analytic deliverables\n\n* Support development of analytic insight that drive product innovation, operational and client performance, and industry trends\n\n* Analyze data for anomalies and early indication of bugs in deliverables\n\n* Build intuitive and modern analytic products, including incorporating data visualization best practices\n\n* Stay abreast of analytic technologies (e.g., Data lakes and analytics on AWS, R, Python, Looker, Tableau, Power BI, etc.)\n\n* Document programming scripts, processes, and deliverables\n\n* Develop internal network of colleagues, based on a reputation for collaboration, execution, and high-quality work\n\n\n\n\nQualifications:\n\n\n* Bachelors or higher in a Quantitative Analysis field (e.g. Mathematics, Statistics, Economics, Engineering, Computational Sciences)\n\n* 2+ years of experience as a data scientist/applied statistician (e.g. building advanced statistical and machine learning models)\n\n* 2+ years of SQL, including complex queries of multiple data sources\n\n* 2+ years of developing scalable and automated ETL processes\n\n* Basic to intermediate knowledge of mathematical statistics\n\n* Proficiency with Python (preferred), or other high level data analytic programming languages\n\n* 2+ Years of experience with visualization tools in a development and report/dashboard building role. Looker experience preferred.\n\n* Knowledge of BI tools (e.g. Looker, Domo)\n\n* Capable of working on multiple projects and context shift quickly in a fast-paced environment\n\n* Ability to translate incomplete or immature objectives into well- defined requirements\n\n* Excellent verbal and written communication\n\n* 1+ years of experience in the SaaS industry (preferably in a data analyst type role) is a plus\n\n* Familiarity with the health care industry is a plus\n\n\n\n\nAdditional information\n\nYour Team:\n\nEnergetic, forward thinking, and resourceful are a few words that describe the Product Management team at Amwell.  This innovative team of 12 manages the product roadmap, designs experiences that delight users, and works closely with current and future customers as the product experts of the Amwell family. Each member of this dynamic group works very collaboratively, communicating the product’s value across all other Amwell teams and to our customers. \n\nWe enjoy working with colleagues inside and outside of the organization, and making our ideas come to life! If you love technology and want to be surrounded by a team of intelligent, fast paced and energetic team members, this may be the team for you! Come join the excitement!\n\nWorking at Amwell:\n\nAmwell is changing how care is delivered through online and mobile technology. We strive to make the hard work of healthcare look easy. In order to make this a reality, we look for people with a fast-paced, mission-driven mentality. We’re a culture that prides itself on quality, efficiency, smarts, initiative, creative thinking, and a strong work ethic. \n\nOur Core Values include One Team, Customer First, and Deliver Awesome. Customer First and Deliver Awesome are all about our product and services and how we strive to serve. As part of One Team, we operate the Amwell Cares program, which brings needed assistance to our communities, whether that be free healthcare for the underserved or for people affected by natural disasters, support for equality, honoring doctors and nurses, or annual Amwell-matched donations to food banks. Amwell aims to be a force for good for our employees, our clients, and our communities.\n\nAmwell cares deeply about and supports Diversity, Equity and Inclusion. These initiatives are highlighted and reflected within our Three DE&I Pillars - our Workplace, our Workforce and our Community.\n\nAmwell is a "virtual first" workplace, which means you can work from anywhere, coming together physically for ideation, collaboration and client meetings. We enable our employees with the tools, resources and opportunities to do their jobs effectively wherever they are!  Amwell has collaboration spaces in Boston, Tysons Corner, Portland, Woodland Hills, and Seattle.\n\n\n* Unlimited Personal Time Off (Vacation time)\n\n* 401K match\n\n* Competitive healthcare, dental and vision insurance plans\n\n* Paid Parental Leave (Maternity and Paternity leave)\n\n* Employee Stock Purchase Program\n\n* Free access to Amwell’s Telehealth Services, SilverCloud and The Clinic by Cleveland Clinic’s second opinion program\n\n* Free Subscription to the Calm App\n\n* Tuition Assistance Program\n\n* Pet Insurance\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 Design, Cloud, Sales, Digital Nomad, Mobile, Senior, Analyst, Engineer, Education, Microsoft, Legal, Travel, SEO, Junior, Medical, Video, Marketing, Scrum, Testing, SaaS and Python jobs that are similar:\n\n $70,000 — $115,000/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
\n\n#Location\nBoston, Massachusetts, United States