Research Engineer - Agency and Reasoning

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Relocation assistance

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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About this role

Research Engineer - Agency and Reasoning San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - Agency and Reasoning , you will be a core contributor to Zyphra's Agency and Reasoning Team. You will be involved with performing novel research in reinforcement learning, post-training, and human preference learning, and applying your ideas at scale to our next generation of language models. What We're Looking For / Requirements: - Strong research taste and intuition - The ability to work through a research project from conception to execution to write-up - Strong implementation and prototyping skillset - A researcher who can take an idea from conception to experimentation extremely quickly - The ability to work well and cooperate with others in a high-paced research setting - Curiosity, interest, and joy in understanding intelligence. Qualifications / Additional Skills: - Experience and aptitude with reinforcement learning, either in the context of language model reasoning or more classical RL tasks - Experience with language-model-supervised fine-tuning and preference-learning methods, such as DPO and simPO. - Experience with context-length extension methods - A good intuitive ability to understand model behaviors and correct them through iterative fine-tuning - Interest in grappling in detail with data and spending significant time involved in data engineering and synthetic data generation - Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Mathematics, Physics) - Previously published machine learning research in well-respected venues - Highly proficient with PyTorch and Python

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