Research Scientist
Remote / Online - Candidates ideally in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-03-03
San Francisco, San Francisco County, California, 94199, USA
Listing for:
Snorkel AI
Remote/Work from Home
position Listed on 2026-03-03
Job specializations:
-
IT/Tech
Data Scientist, AI Engineer, Machine Learning/ ML Engineer, Data Analyst
Job Description & How to Apply Below
Overview
Employer Industry: Artificial Intelligence Solutions
Why consider this job opportunity:
- Salary range up to $
- Opportunity for career advancement and growth within a rapidly scaling organization
- Flexibility to work remotely or from the Redwood City or San Francisco office
- Engage in meaningful projects that have a direct impact on the AI landscape
- Collaborative work environment with a focus on innovation and real-world applications
- Support from a company committed to diversity and equal opportunity employment
- Design, implement, and validate novel AI techniques for data development, including synthetic data generation
- Prototype and build end-to-end workflows that integrate research ideas into scalable systems
- Write high-quality, maintainable code for robust implementation of research-driven innovations
- Iterate on solutions quickly in response to new challenges and customer needs
- Collaborate with research scientists, engineers, and industry partners to advance Snorkel AI’s research initiatives
- 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 such as Num Py, Scikit-learn, Pandas, PyTorch, and Tensor Flow
- Familiarity with software engineering best practices, including clean coding and version control
- Ability to work in a fast-moving, iterative environment with a bias for action
- Ph.D. in machine learning or a related field with a strong publication record, or equivalent expertise gained through industry experience or research labs
- Experience with ML infrastructure and cloud platforms (AWS, Google Cloud)
- Comfort with ambiguity and open-ended challenges in a dynamic setting
#Artificial Intelligence #Machine Learning #Remote Work #Career Growth #Innovation #Diversity And Inclusion
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