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Research Scientist

Snorkel AI
Location
New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote)
Posted
2 months ago
Department
316 - Research
What they actually want (must-haves)
  • Strong expertise in AI, NLP, multi-modal models, LLMs, and generative AI
  • 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)
  • 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
Nice to have
  • Familiarity with ML infrastructure, cloud platforms (AWS, Google Cloud), and accelerators (GPUs, TPUs)
  • A Ph.D. in machine learning or a related field with a strong publication record, or equivalent expertise gained through industry experience
What the job really is

As a Research Scientist at Snorkel AI, you will be responsible for bridging the gap between research and practical AI applications. Your role will involve designing and implementing innovative AI techniques, prototyping workflows, and collaborating with various partners to test and deploy solutions that have real-world impact. You will work in a fast-paced environment, adapting quickly to new challenges and customer needs while ensuring high-quality code and robust implementations.

Benefits
  • Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location
  • Salary range for this role is $200,000 — $375,000 USD
  • Opportunities to shape priorities and initiatives, influence strategic decisions, and impact ongoing success
  • Support for building your career in an environment designed for growth, learning, and shared success
Things to weigh
  • No specific mention of work-life balance or remote work policies beyond hybrid and remote options
  • Salary range is quite broad, which may indicate variability based on negotiation or experience
  • Fast-paced environment may not suit everyone, especially those preferring a more structured setting
Job score2.2/5
Benefits2/5
Freshness1/5
Career value4/5
Role clarity4/5
Pay transparency0/5

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