Research Engineer
Hybrid (San Francisco, CA)$150k - $250kFull-timePosted 5d ago
About the role
Role focused on building systems that turn research into useful models and products. Opportunities across model training, ML infrastructure, full-stack product engineering, and customer deployment. Close collaboration with researchers and engineers to turn successful approaches into reliable, reusable capabilities.
Responsibilities
- Implement training algorithms and recipes; build distributed training and inference systems; develop data pipelines and evaluations; create interfaces for running experiments and improving models; work with customers to integrate their data and workflows and deploy specialized models.
Qualifications
- Typically 3+ years of software or ML engineering experience, including relevant academic or industry research (preferred), or equivalent demonstrated work.
- Owned a substantial system from implementation through deployment and ongoing operation.
Skills
Required:Model trainingML infrastructureCustomer deployment
Last updated Oct 21, 2026. Interested? Apply on the company site.
About TrainLoop
Reasoning Fine-Tuning
TrainLoop makes it effortless for developers to supercharge LLM performance through reinforcement learning.
developer-toolsgenerative-aireinforcement-learning
More open roles at TrainLoop
- Research Scientist5d agoHybrid (San Francisco, CA) · Science, Research
- Head of Enterprise5d agoHybrid (San Francisco, CA) · Sales
- UX / Product Designer5d agoHybrid (San Francisco, CA)