Grafton Sciences ยท 1 month ago
Senior ML Infra / MLOps Engineer
Redwood City, CA
Full-time
Onsite
Senior LevelGrafton Sciences is building AI systems with general physical ability, aiming to push the frontier of physical AI. They are seeking a Senior ML Infrastructure / MLOps Engineer to build and operate the infrastructure that supports large-scale training and model deployment.
Machine LearningRobotics
Responsibilities
Build and maintain scalable infrastructure for training, fine-tuning, RLHF/DPO workflows, and distributed experiments
Develop data pipelines, dataset versioning systems, experiment tracking tools, and reproducibility frameworks
Operate containerized inference and training environments, CI/CD for models, and evaluation automation
Collaborate with LLM researchers, RL scientists, data engineering, and systems teams to support rapid iteration and robust model deployment
Qualification
Required
Strong experience with ML infrastructure, distributed training, experiment management, or production ML systems
Familiarity with containerization, orchestration, model runners, dataset governance, and evaluation pipelines
Ability to design reliable training and deployment workflows that support high-throughput experimentation
Comfortable working across ML, infrastructure, data systems, and engineering teams in a fast-paced research environment
Benefits
Meaningful equity
Benefits
Company
Grafton Sciences
Building systems of general physical ability to enable superintelligence
Founded in 2024
11-50 employees
H1B Sponsorship
Grafton Sciences has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
Funding
Current Stage
Early StageCompany data provided by crunchbase