Acceler8 Talent
Senior ML Infra Engineer (San Francisco)
Acceler8 Talent, San Francisco, California, United States, 94199
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 Were 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!
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 Were 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!