Remote Applied AI Research Scientist: Data-Driven Systems

Snorkel AI

San Francisco (CA)

Hybrid

USD 200,000 - 275,000

Full time

14 days+

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Benefits offered by this job

Opportunities for growth and learning
Dynamic work environment

Job summary

Snorkel AI is seeking a Research Scientist to bridge cutting-edge research and real-world AI systems. The role involves designing AI techniques, prototyping solutions, and collaborating with industry partners. Ideal candidates will have strong expertise in AI and NLP, proficiency in Python, and a Ph.D. or equivalent experience.

The salary range is $200,000–$275,000, depending on experience. This is a unique opportunity to influence strategic decisions in a rapidly growing company dedicated to building high-performance AI systems.

Qualifications

  • Strong expertise in AI, NLP, and generative AI with a focus on applied research.
  • Experience in developing and deploying AI models at scale.
  • Ability to work in a fast-moving environment with open-ended challenges.

Responsibilities

  • Design and validate novel AI techniques for data development.
  • Prototype and build end-to-end workflows integrating research ideas into systems.
  • Collaborate with design partners to test solutions in applied settings.

Skills

AI expertise
NLP
Multi-modal models
Generative AI
Python
Machine learning frameworks
Software engineering best practices

Education

Ph.D. in machine learning or related field

Tools

NumPy
Scikit-learn
Pandas
PyTorch
TensorFlow
AWS
Google Cloud

Job description

Snorkel AI is seeking a Research Scientist to bridge cutting-edge research and real-world AI systems. The role involves designing AI techniques, prototyping solutions, and collaborating with industry partners. Ideal candidates will have strong expertise in AI and NLP, proficiency in Python, and a Ph.D. or equivalent experience.

The salary range is $200,000–$275,000, depending on experience. This is a unique opportunity to influence strategic decisions in a rapidly growing company dedicated to building high-performance AI systems.

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