What are the responsibilities and job description for the Senior ML Infra Engineer position at Acceler8 Talent?
Senior ML Infra Engineer - San Francisco or Redwood City, CA
A company who are building AI systems with general physical ability are looking for a Senior ML Infra Engineer to join their team to build and maintain infrastructure for training, RL workflows, data pipelines, and model deployment.
What Will I Be Doing:
- Build and maintain scalable infrastructure for distributed model training, fine-tuning, RLHF/DPO workflows, and large-scale experiments.
- Develop data pipelines, dataset versioning systems, and experiment tracking tools to ensure reproducibility and traceability.
- Operate containerized training and inference environments, CI/CD pipelines for models, and automated evaluation workflows.
- Collaborate with LLM researchers, RL scientists, data engineers, and systems teams to support rapid experimentation and reliable model deployment.
Who We’re Looking For:
- Deep experience in ML infrastructure, distributed training, experiment management, or production ML systems.
- Familiarity with containerization, orchestration, model runners, dataset governance, and evaluation pipelines.
- Proven ability to design robust training and deployment workflows that support high-throughput experimentation.
- Comfortable working across ML, infrastructure, data, and engineering teams in a fast-paced, high-precision environment.
What's In It For Me:
- Salary of $200k-$300k dependent on experience plus equity
- Ownership of critical ML infrastructure powering real-world AI experimentation
- Work at the forefront of AI, robotics, and scientific discovery
Apply now for immediate consideration!
Salary : $200,000 - $300,000