Acceler8 Talent ยท 4 hours ago
MLOps Engineer
San Francisco Bay Area
Full-time
Onsite
Senior LevelAcceler8 Talent is representing an ambitious AI research organization building physical autonomy systems powered by large-scale ML. In this role, you will own the infrastructure that enables reliable, reproducible, and scalable model development, from training to deployment.
Staffing & Recruiting
Hiring Manager
Anna Heneghan
Responsibilities
Build and maintain scalable ML infrastructure supporting training, fine-tuning, RLHF/DPO workflows, and distributed experiments
Develop and manage data pipelines, dataset versioning, experiment tracking, and reproducible evaluation frameworks
Operate containerized training and inference environments, including CI/CD automation for models
Partner with researchers, engineers, and systems teams to enable rapid iteration and robust deployments
Qualification
Required
Strong experience with ML infrastructure, distributed training systems, and production-grade MLOps practices
Familiarity with containerization, orchestration, and reproducible ML workflows
Hands-on in experiment management, dataset governance, and automation tooling
A pragmatic mindset and ability to work across research and engineering functions
Benefits
Meaningful equity
Strong benefits package
Company
Acceler8 Talent
Acceler8 Talent partners with technology companies to propel their funding and business forward.
Founded in 2019
11-50 employees
H1B Sponsorship
Acceler8 Talent 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 (1)
2023 (1)
Funding
Current Stage
Early StageLeadership Team
Sam McBroom
Director
Company data provided by crunchbase