Research Engineer
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Before you apply
Salary$200k – $1M
LocationSF, San Francisco, California
Typefull-time
SenioritySenior
DepartmentEngineering
EquityIncluded
Company size4+ people
PostedOct 6, 2025 · 1y ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Deep experience in machine learning, preferably reinforcement learning, post-training, or alignment research
Demonstrated research contributions; ideally published papers (ICML, NeurIPS) or public implementations
Strong proficiency in Python and ML frameworks (PyTorch, JAX, or TensorFlow)
Comfort with distributed training, high-throughput data pipelines, and large-scale experiment management
Ability to reason independently, formulate hypotheses, and run experiments from idea to insight to product impact
Skills
Python
PyTorch
JAX
TensorFlow
Benefits
Health insurance
Dental insurance
Vision insurance
Wellness stipend
Learning and development stipend
Gym membership
Meal provision
Housing stipend
About the Role
As a Research Engineer at Metis, you’ll work on building the next generation of autonomous post-training systems that leverage our Mantis platform. You’ll operate at the intersection of cutting-edge ML research and scalable engineering, designing, implementing, and deploying algorithms that improve how AI agents learn from feedback, synthetic data, and real-world interactions.
You’ll move seamlessly between papers and production, leading large-scale experiments, creating optimized training pipelines, and helping shape the future of post-training autonomy. You’ll have significant ownership, high compute budgets, and the mandate to push the state of the art in applied reinforcement and preference optimization.
What You’ll Do
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Research and help build an autonomous post-training agent leveraging the Mantis platform
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Design and execute large-scale experiments on synthetic data generation and algorithmic architecture
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Develop and refine methods for reinforcement learning, reward modeling, and human feedback integration
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Collaborate cross-functionally with Core and Platform Engineering to deploy and evaluate models in production settings
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Publish or contribute to leading-edge research in the post-training domain
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Use tooling and compute efficiently to iterate on experimental pipelines and accelerate research velocity
Requirements
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Deep experience in machine learning, preferably reinforcement learning, post-training, or alignment research
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Demonstrated research contributions; ideally published papers (ICML, NeurIPS) or public implementations
•
Strong proficiency in Python and ML frameworks (PyTorch, JAX, or TensorFlow)
•
Comfort with distributed training, high-throughput data pipelines, and large-scale experiment management
•
Ability to reason independently, formulate hypotheses, and run experiments from idea → insight → product impact
Compensation & Benefits
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Base: $200,000–$1,000,000
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Significant Equity
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Full medical, dental, and vision
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Wellness & L&D stipend
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Equinox membership
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Breakfast, lunch, and dinner provided (Unlimited Doordash)
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$25,000 housing stipend
About Metis
Metis helps enterprises and labs build the most reliable AI agents by leveraging post-training. Our platform enables the creation, improvement, and deployment of the most capable frontier agents designed for rigorous, real-world workflows.
Momentum
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0 → six-figure monthly revenue in the last six weeks
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Working with several Fortune 500 enterprises & frontier AI labs
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Growing 150%+ MoM
Backed by
Y Combinator, CRV, and executives from OpenAI, Google, Mercor, NVIDIA, and others.
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