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!
We are looking for an Engineering Manager to lead our AI Platform team. Our AI Platform team builds innovative software systems to power the Snorkel Flow platform. This includes services to train and serve generative AI and machine learning models using novel data-centric techniques, libraries to support AI workflows for a variety of data modalities and task types, core training data management technologies, and more.
The AI platform roadmap includes introducing and maturing existing AI use cases (such as document intelligence), scale recently launched capabilities to GA (such as image classification) and keep the team motivated and in focus to our goal of improving labeling quality for our customers.
As the Engineering Manager for this team, you will lead, develop and grow a team of talented engineers to meet Snorkel AI’s growth goals. You will work cross functionally with other engineering teams to extend platform capabilities and deliver new AI workflows, with product management and customers to deeply understand and build for user needs, with applied research to develop novel AI techniques, and with GTM partners to help us market, sell and support Snorkel AI offerings to help customers be successful.
Primary responsibilities
- Manage, develop, and grow a talented team of AI, systems, and backend engineers
- Deliver AI systems capabilities to enable new workflows in the Snorkel Flow platform
- Have a significant impact on the architecture, design, development, and operations of large-scale data-focused AI systems and interactive product workflows
- Collaborate with product management, field team members, and customers to understand product use cases, desired capabilities, scaling requirements, and more
- Actively contribute to Snorkel’s engineering culture through mentorship, open communication, user empathy, advocacy of strong engineering practices, and more
- Work a hybrid schedule with three days per week in our Redwood City HQ or the SF office and work remotely with "No Meeting" Tuesdays and Thursdays
Preferred qualifications
- Degree in Computer Science or related field
- 12+ years of professional experience designing and building data-intensive software systems
- 4+ years of engineering management experience
- 4+ years of professional experience designing and building AI-focused software systems
- Significant experience in building data or AI systems for unstructured data modalities such as natural language, images, or video
- Experience building enterprise-grade, user-facing software products
- Experience with architecting and developing production web-scale systems (including monitoring, telemetry, performance, reliability, triage, and debuggability)
- Experience at high-growth technology startups
- Experience developing growth programs for engineering organizations (e.g. career ladders, mentorship)
The base salary range is $250,000.00 - $275,000.00.
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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. For Full-time employees, 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.
Top Skills
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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