Applied Machine Learning Engineer

At Snorkel AI, we're redefining the way people and organizations build AI applications. Snorkel began as a research project at the Stanford AI Lab in 2016, providing a higher-level interface to machine learning through programmatically labeled and managed training data. Having been deployed in some of the world's largest and most advanced tech organizations and empowering scientists, doctors, and journalists, we've seen firsthand how this approach democratizes and accelerates AI. Now we're building Snorkel Flow to make our technology accessible to everyone! Fancy helping us redefine how AI applications are built? Apply to be the newest Snorkeler! As an Applied Machine Learning Engineer, you'll research and use established and cutting-edge machine learning (ML) methods to deliver successful solutions to our customers. You'll explore new ML use cases through direct customer problems and help turn learnings into the core Snorkel Flow platform. We're quick, we're continually prototyping new ways to add value for our customers, the path from A to B isn't always straightforward and the impact of our work is global. Our team is mission-driven, customer-centric and seeks an intellectually curious and energized individual who can replicate this model across our ML initiatives. Main Responsibilities - Assist customers with Machine Learning project delivery from start to finish, including defining the business case and project scope, data collection and exploration, algorithm selection, and model deployment to yield business impact to the organization. - Present findings and recommendations to customer stakeholders, assist with program ideation and technical program management, and prepare materials. - Design, develop, and deploy enterprise AI/ML solutions across various industries like finance, healthcare, insurance, retail and more. - Be the voice of our customers for new ML paradigms, data science workflows and relay customer feedback to product teams. Preferred Qualifications - Minimum 5 years of professional experience with machine learning, or 2+ years of machine learning professional experience with an advanced degree in a relevant field. - At least 1 year of professional experience working directly with external customers to scope, build machine learning tools, models or services. - Expertise in modern machine learning frameworks and technologies (e.g., PyTorch, Transformers, Scikit-learn, NumPy, Pandas), and a rigorous approach to ML evaluation. - Experience in building and maintaining large scale, production data pipelines for ML applications. - Ability to work in a fast-paced environment and possess strong technical communication skills. The salary range for our prime locations of San Francisco, Seattle, Los Angeles & New York is $140,000.00 - $200,000.00. Be Your Best At Snorkel Snorkel AI is committed to bringing machine learning into practical use for everyone, starting with building a team that is inclusive, represents, and provides opportunities for all. We operate on the cutting edge of AI and software engineering and believe underrepresented communities should have a say in how these fields develop. At Snorkel AI, we strive to create an environment that values ownership, diverse forms of impact, and personal development opportunities. Snorkelers are backed by a fantastic team and coupled with a robust set of benefits. We offer comprehensive health, dental, and vision plans for Snorkelers and their families, and an annual wellness allowance. Snorkelers can plan for the future with our 401k program and take up to 20 weeks of paid time off under our parental leave program. Learn more about these benefits and others, like our workstation setup allowance, on our Careers page. Snorkel AI is proud to be an Equal Employment Opportunity employer committed to cultivating a team that reflects diverse backgrounds, perspectives, and skills. Inclusivity and diversity are integral to Snorkel AI, and we provide equal employment to all employees and applicants. We prohibit any form of discrimination or harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment decisions are based on qualifications, performance, merit, and business necessities. We always ensure individuals with disabilities are provided with reasonable accommodation for participation in the job application or interview process, to carry out essential job functions, and to receive other benefits and privileges of employment. Kindly contact us to request accommodation.