Postman
Applied AI Scientist, Small Language Model and AI Training
San Francisco, California, United States
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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the lottery is wage-weighted — each level is one more entry
This range already reaches Level IV — the maximum four lottery entries.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- Your work will directly contribute to AI systems that are safe, interpretable, and impactful across diverse usage scenarios.
Responsibilities
- Lead research and development of novel training methodologies and architectures for small and efficient language models.
- Design, implement, and evaluate model training experiments to improve performance, robustness, and generalization of language models.
- Collaborate closely with research scientists and engineers on scalable training pipelines and model deployment strategies.
- Develop techniques for model compression, fine-tuning, and domain adaptation to optimize models for real-world applications.
- Partner with product teams to translate model capabilities into actionable features aligned with user needs and ethical standards.
- Excellent communication skills with proven ability to collaborate across research, engineering, and product teams.
- Our frequent and fascinating team-building events will keep you connected, while our donation-matching program can support the causes you care about.
- We're building a long-term company with an inclusive culture where everyone can be the best version of themselves.
Requirements
- Experience with distributed training, data pipeline design, and scalable AI infrastructure.
- Experience with developer tools, APIs, or frameworks related to AI model integration and delivery.
Compensation
- The reasonably estimated base salary for this role ranges from $218,500.00 to $288,000.00, plus a competitive equity package.
Benefits
- Strong programming skills in Python and familiarity with machine learning frameworks such as PyTorch, TensorFlow, or JAX.
- Background in reinforcement learning, prompt engineering, or transfer learning techniques.
- Mentor and support cross-functional teams on applied machine learning methods and best practices.
- The benefits of our in office model will be shared knowledge, brainstorming sessions, communication, and building trust in-person that cannot be replicated via zoom.
Company info
- The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded.
- At Postman we value in person collaboration.
- We are in office 5 days a week for all roles based out of our hubs in San Francisco Bay Area, Boston, Austin, New York City, Tokyo and London.
Equal opportunity
- Postman is an Equal Employment Opportunity and Affirmative Action Employer.
- Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
- Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers.
- Postman does not accept unsolicited headhunter and agency resumes.
This listing is sourced directly from Postman's careers page and normalized into a canonical job model.