Research Engineer
Goliath Partners
About the Role
A well-funded, early-stage AI startup in San Francisco is seeking a Founding Research Engineer (RL) to join a small, highly technical team. This role offers high ownership and the opportunity to significantly impact the company's technical direction.
Key Responsibilities
- Building and scaling reinforcement learning environments and training pipelines.
- Developing infrastructure for model training, evaluation, and experimentation.
- Designing large-scale data and ETL pipelines for ML workloads.
- Improving the reliability and performance of distributed training systems.
- Working across research and engineering to take ideas from experimentation to production.
- Helping shape the technical foundation of a rapidly growing AI company.
Requirements & Tech Stack
- Strong Python and PyTorch experience.
- Experience with reinforcement learning, model training, ML infrastructure, data infrastructure, or evaluation systems.
- Strong software engineering fundamentals and the ability to build production-quality systems.
- Experience working with large-scale ML workloads or distributed systems.
- Comfortable operating in a fast-moving, highly technical startup environment.
Bonus Points
- Experience with FSDP, DeepSpeed, or distributed training.
- Experience with multimodal models.
- Experience with large-scale data/ETL infrastructure.
- Experience with CUDA, Triton, TensorRT, quantization, or inference optimization.
- Experience building RL environments or evaluation frameworks.
Location: San Francisco - in person