We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
(This role can be remote or hybrid role based in New York City or Redwood City or Redwood City + San Francisco)
As the ML Enablement Lead, you’ll be at the helm of Snorkel’s innovative learning programs, using your technical enablement expertise to shape and advance our offerings. You’ll own the curriculum and certification roadmap, designing and scoping learning pathways that are engaging and effective for all learning styles and technical expertise levels. By incorporating key stakeholder feedback, you'll ensure our programs hit the mark. You'll play a crucial role in evaluating our training products' effectiveness, providing insights for continuous improvement, and staying up-to-date with Snorkel’s latest features and industry trends to keep our curriculum relevant. From setting learning objectives to content design, development, launch, and maintenance, you’ll manage the entire lifecycle of our learning content development. If you have a passion for teaching, a deep understanding of machine learning, and a knack for creating impactful educational experiences, we would love to hear from you.
Main Responsibilities
- Lead the design, development, and refreshment of multi-modal training content for both potential and existing customers based upon the latest version of Snorkel Flow
- Assess the effectiveness of training programs using feedback surveys, assessments, and observations, and update the curriculum as necessary
- Assist in creating self-paced online learning modules, self-paced tutorials and additional training resources
- Serve as Snorkel AI’s expert and thought leader in curriculum development principles and best practices
- Act as the lead instructor to deliver training material to Snorkel customers and enable the field engineering team to scale the delivery of our enablement services
- Become an expert in the Snorkel Flow platform and assist our customers do the same
Minimum Qualifications
- 5+ years experience working in a customer-facing role, e.g., technical training, data scientists, or technical consultant
- Expertise in modern ML frameworks and libraries, e.g., PyTorch, Scikit-learn, Numpy, SciPy, and HuggingFace
- Proficiency in writing Python for either Data Science, Machine Learning, or other distributed systems workloads
- Experience designing and developing highly technical training based on instructional design best practices
- A passion for learning and development, with a commitment to staying up-to-date with industry trends and developments
- Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
- Excellent communication and presentation skills, with the ability to engage and motivate learners
- B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
- Travel up to 20% based on customer needs
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Be Your Best At Snorkel
Snorkel AI is on a mission to make machine learning practical for everyone, and it starts with building a team that welcomes, represents and gives opportunity to all. We work at the frontier of AI and software engineering, and believe that underrepresented communities need to play a part in shaping the future of these fields. At Snorkel AI, we actively work to create an environment that values end-to-end ownership, diverse forms of impact, and opportunities for personal growth.
Snorkelers are supported by an amazing team and an amazing set of benefits. We offer comprehensive medical, dental, and vision plans for Snorkelers and their families, plus a yearly wellness stipend. Our 401k program lets Snorkelers plan for their future and our parental leave program lets new parents take up to 20 weeks of paid time off. Learn more about these benefits and more — like our workstation setup allowance — on our Careers page.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of 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 is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
What We Do
Our mission is to empower everyone to solve their most impactful problems through data-centric AI. To do this, we have introduced Snorkel Flow, a data-centric AI platform, and are building an incredibly talented team. We empower Fortune 500 enterprises such as Chubb and BNY Mellon, and several government agencies to accelerate AI application development by 10-100x.
Why Work With Us
The founding team spent over half a decade researching programmatic labeling, weak supervision, and other techniques to break through one of the biggest bottlenecks in AI: the lack of labeled training data. This research has resulted in Snorkel research project and 60+ peer-reviewed publications. Snorkel has developed and deployed its technology
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