Raydar
Research Engineer
$200K–$350K
San Francisco, California · Full-time · Posted Oct 16, 2026
- Experience
- At least 3 years of relevant experience.
About the job
Own the machine-learning experimentation cycle, from preparing data and evaluating models to training, production deployment, and sharing findings.
What you'll do
- Create training workflows and assess their effects on model quality and cost.
- Build datasets, testing setups, scoring components, and benchmarks for credible evaluation.
- Optimize experiments with infrastructure engineers and move successful research into production; publish findings.
What they ask for
- Practical model training or fine-tuning experience in industry or an academic lab, with deep expertise in at least one technique.
- Understanding of how PyTorch or JAX run training jobs, and ability to debug unfamiliar research code.
- Scientific rigor in baselines, comparisons, and recognizing overfitting, contamination, and flawed metrics.
- Clear, specific communication about personal contributions and supporting evidence.
Pay
USD 200,000 to 350,000 per year (base salary)
Tools
PyTorch, JAX
AI focus
Improve machine-learning models through training, fine-tuning, evaluation, and deployment.
Model-written summary · the original posting is authoritative