Research Engineer, Snorkel AI
$140-275k
1+ day a week in office (Redwood City, CA)
Data-centric enterprise AI platform for
Open for applications
Data-centric enterprise AI platform for
101-200 employees
Open for applications
$140-275k
1+ day a week in office (Redwood City, CA)
101-200 employees
Company mission
To empower everyone to solve their most impactful problems through data-centric AI.
Role
Who you are
- We’re looking for someone who thrives on rapid iteration, solving open-ended challenges, and driving innovation from research into production
- Strong expertise in AI, NLP, multi-modal models, LLMs, and generative AI, with an emphasis on applied research and system-building
- Experience in developing, experimenting, and deploying AI models at scale
- Proficiency in Python and machine learning frameworks (NumPy, Scikit-learn, Pandas, PyTorch, TensorFlow, etc.)
- Experience with software engineering best practices (e.g., clean coding, modular design, version control)
- Familiarity with ML infrastructure, cloud platforms (AWS, Google Cloud), and accelerators (GPUs, TPUs)
- Ability to work in a fast-moving, iterative environment, comfortable with ambiguity and open-ended challenges
- A bias for action—willing to roll up your sleeves, experiment, and move quickly to solve problems
What the job involves
- As a Research Engineer at Snorkel AI, you will bridge the gap between cutting-edge research and real-world AI systems
- This is a hands-on role where you will prototype, build, and deploy innovative AI solutions—translating research breakthroughs into scalable, practical applications that solve real-world problems
- Design, implement, and validate novel AI techniques for data development such as synthetic data generation, utilizing techniques such as LLM as a Judge
- Prototype and build end-to-end workflows, integrating research ideas into scalable systems
- Write high-quality, maintainable code, ensuring robust implementation of research-driven innovations
- Move fast and adapt—iterating on solutions in response to new challenges, customer needs, and emerging research
- Work closely with real-world design partners, testing solutions in applied settings with measurable impact
- Collaborate with research scientists, engineers, and industry partners to push forward Snorkel AI’s broader research initiatives and rapidly productionize prototypes
Our take
Demand for AI is increasing in almost every industry, but the machine learning that fuels it is tedious to set up. In order to train machine learning algorithms, training data must be labelled manually, and this contributes to expenses in time, money and resources when integrating AI within a business.
Snorkel AI develops programmatic approaches to data labelling in order to automate the setup process of machine learning and decrease the required timeframe for a business to begin providing AI services. In addition to these automated data categorization services, the company also integrates data training, management, and analysis into a unified AI-deployment platform.
The complex computer science behind AI setup has resulted in many businesses without computer science backgrounds being left behind, and Snorkel AI has set this as their target audience. As of 2023, this customer base has tripled in size since Snorkel AI's founding and in 2024, enjoyed a new round of funding. With these promising developments, the company continues to innovate the sector.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Aug 2021
$85m
SERIES C
Apr 2021
$35m
SERIES B
Total funding: $135m
Company benefits
- Home office allowance
- Yearly wellness stipend
- Healthy meals, snacks & drinks in office
- 401k with a 100% match up to 5% of annual salary
- Regular team events
- Generous paid parental leave
- Work from home opportunities
- Health insurance
Company HQ
Centennial, Redwood City, CA
Leadership
Alex Ratner
(Co-founder & CEO)Studied at Harvard and received a PhD from Stanford. They are also an Assistant Professor at the University of Washington.
Paroma Varma
(Co-founder)They hold a PhD from Stanford and was VP of Corporate Relations at the Society of Women Engineers. They have collaborated with teams at Facebook and Intel.
Braden Hancock
(Co-founder & Head of Technology)They have a PhD in Computer Science from Stanford, and worked as a Research Assistant with the Air Force and MIT. They were also a Software Engineer at Google, and a Researcher at Facebook.
Henry Ehrenberg
(Co-Founder)They studied at Yale and Stanford and worked at Facebook as a Quantitative Engineering Intern and a Senior Applied Research Scientist.
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