Research Engineer

Redwood City, California, United States

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Not SpecifiedCompensation

N/AExperience Level

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Not SpecifiedVisa

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Requirements

Candidates should possess strong expertise in AI, NLP, multi-modal models, LLMs, and generative AI, with an emphasis on applied research and system-building, and experience in developing, experimenting, and deploying AI models at scale. Proficiency in Python and machine learning frameworks such as NumPy, Scikit-learn, Pandas, PyTorch, and TensorFlow is required, along with familiarity with ML infrastructure, cloud platforms (AWS, Google Cloud), and accelerators (GPUs, TPUs).

Responsibilities

As a Research Engineer, you will design, implement, and validate novel AI techniques for data development, specifically synthetic data generation utilizing LLMs as a Judge, and prototype and build end-to-end workflows integrating research ideas into scalable systems. You will write high-quality, maintainable code, ensuring robust implementation of research-driven innovations, moving quickly to iterate on solutions in response to new challenges and customer needs, and collaborating with real-world design partners and other teams to push forward Snorkel AI’s research initiatives and rapidly productionize prototypes.

Skills

Snorkel AI

Transforms manual AI processes into programmatic solutions

About Snorkel AI

Snorkel AI focuses on improving the development of artificial intelligence by transforming traditional manual processes into automated, programmatic solutions. This allows businesses to create AI systems that are specifically designed for their unique needs much more quickly. Their technology is based on research from the Stanford AI lab and is used by major organizations, including top US banks, government agencies, and Fortune 500 companies. Snorkel AI stands out from its competitors by offering proprietary data and knowledge that help speed up the deployment of AI solutions. The company's goal is to make AI development more efficient and accessible for enterprises, enabling them to leverage AI effectively in their operations.

Redwood City, CaliforniaHeadquarters

2019Year Founded

$131.3MTotal Funding

SERIES_CCompany Stage

Data & Analytics, AI & Machine LearningIndustries

201-500Employees

Benefits

Health - Snorkelers and their dependents are covered by comprehensive medical, dental, and vision plans.

Environment - We provide an allowance for Snorkelers to set up workstations however they want.

Wellness - Snorkelers are given a yearly wellness stipend to be used on anything relating to health and well-being.

Risks

Open-source AI platforms like Together AI increase competition for Snorkel AI.

Copyright lawsuits against AI firms pose potential legal risks for Snorkel AI.

Rapid expansion may lead to integration challenges within Snorkel AI's operations.

Differentiation

Snorkel AI uses programmatic data labeling to accelerate AI development.

The company transforms proprietary data into AI-ready datasets for specialized models.

Snorkel AI's technology originated from Stanford AI Lab research.

Upsides

Snorkel AI's partnership with Together AI enables custom LLMs for enterprises.

The release of Snorkel Flow 2023.R4 enhances user experience and tool integration.

Growing demand for programmatic data labeling boosts Snorkel AI's market potential.

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