Research Scientist

Snorkel AI
New York, San Francisco
Workplace: HybridFull timeUSD 200,000 - 275,000 annuallyFunction: Data Science & Machine LearningSkills: ["Problem-solving","Collaboration","Communication","Adaptability","Ownership"]

Bridge cutting-edge AI research and real-world production systems by prototyping, building, and deploying novel AI techniques for data development. Design end-to-end workflows, write high-quality code, and iteratively improve solutions with research teams and industry partners to deliver measurable impact in a fast-paced, hybrid/remote environment.

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FursaFursa
Snorkel AI
Snorkel AI
10 months ago

Research Scientist

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Bridge cutting-edge AI research and real-world production systems by prototyping, building, and deploying novel AI techniques for data development. Design end-to-end workflows, write high-quality code, and iteratively improve solutions with research teams and industry partners to deliver measurable impact in a fast-paced, hybrid/remote environment.
Location: New York, San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design, implement, and validate novel AI techniques for data development, such as synthetic data generation and using LLMs 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—iterate on solutions in response to new challenges, customer needs, and emerging research.
  • •Collaborate with research scientists, engineers, and industry partners to push forward Snorkel AI’s broader research initiatives and productionize prototypes.

Pay and Benefits

Salary: USD 200,000 - 275,000 annually

Key Requirements

  • •Strong expertise in AI, NLP, multi-modal models, LLMs, and generative AI, with emphasis on applied research and system-building.
  • •Experience in developing, experimenting, and deploying AI models at scale.
  • •Proficiency in Python and ML frameworks (NumPy, Scikit-learn, Pandas, PyTorch, TensorFlow, etc.).
  • •Experience with software engineering best practices (clean coding, modular design, version control).
  • •Familiarity with ML infrastructure, cloud platforms (AWS, Google Cloud), and accelerators (GPUs, TPUs).
Experience:AINLPMultimodalLLMsGenerative AI
Skills:Problem-solvingCollaborationCommunicationAdaptabilityOwnership
Languages:English
Tech Stack:PythonNumPyScikit-learnPandasPyTorchTensorFlowAWSGoogle CloudGPUsTPUsLLMsNLPMulti-modal

Company Brief

Snorkel AI
Develops a programmatic data labeling platform and tools to accelerate machine learning by enabling teams to generate, manage, and maintain training datasets through weak supervision and automations.
Industry: Data Infrastructure
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series C
Headquarters: Palo Alto, United States
Founded: 2019
WebsiteLinkedIn