PitchMeAI Jobs
Snorkel AI

Research Scientist

Snorkel AI · New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote)

Posted about 3 months ago

or apply directly on Snorkel AI's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Snorkel AI's roles stay open a median of 81 days
Reposted
No
Salary listed
No
42% of Snorkel AI's roles list one
Ghost-job risk at Snorkel AI
high
37 stale, 5 reposted of 38 open
Hiring momentum
58 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Snorkel AI's own greenhouse board since 2026-08-03. Full hiring picture for Snorkel AI.

About this role

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.

Our read on this posting2.2out of 5
benefits
2/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Snorkel AI as an employer.

What you need

  • 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 you get

  • 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

Worth weighing

  • 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

Summarised from Snorkel AI's posting. Read the full original.

Listed by Snorkel AI on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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