Research Engineer - Model Architectures

Benefits

Parental leave

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Non-birth-parent leave

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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 - Model Architectures San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - Model Architectures , you will be a core contributor to Zyphra's AI Architecture Research Team. This will involve designing and rigorously testing novel model architectures and training methodologies, with a focus on improving core modeling capabilities (e.g., loss per flop or loss per parameter) and addressing fundamental bottlenecks in contemporary models. You will also work extremely closely with our pre-training team, who will integrate your insights into our next-generation 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 ability 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: - Previous experience with long-term memory, RAG/retrieval systems, dynamic/adaptive computation, and alternative approaches to credit assignment - Experience with reinforcement learning, control theory, and signal processing - Generally, a joy in inventing and seriously assessing 'crazy' ideas, and the ability to have a unique perspective on things - Understanding of modern training pipelines and the hardware requirements to design efficient architectures for GPU hardware - Strong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testing - High proficiency

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