Staff Machine Learning Engineer — Remote
Employment type
Full-time
Work setting
On-site
Location
San Francisco, CA
Schedule
Day shift
Posted
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Job overview
The Staff Machine Learning Engineer is a 100% remote role. The listing identifies San Francisco, CA, but the posting does not specify a narrower remote scope. Compensation is not specified. The role translates research direction into production-grade machine learning systems. The engineer owns the execution layer for machine learning, making models trainable, deployable, observable, and performant. The work connects research, infrastructure, and product through reliable pipelines, inference systems, evaluation, and production deployment.
What you'll do
- Own machine learning data pipelines, training workflows, evaluation systems, inference architecture, and deployment
- adapt models using methods such as LoRA, QLoRA, SFT, DPO, and distillation
- operate scalable inference systems
- maintain training data systems
- implement evaluation for performance, robustness, safety, and bias
- optimize GPU deployment
- integrate systems into backend, mobile, and desktop products
- troubleshoot production issues.
What we're looking for
- Skills & competencies
- remotesan francisco ca listingginas tech jobsstaff machine learning engineermachine learningartificial intelligencedata pipelinesgpujaxpythonpytorchloraqloradposft
- Work arrangement
- Weekend coverage required
Benefits & perks
- Medical, dental and vision insurance, savings plan options, and paid time off.
Why this role
Fully remote; technology stack includes GPU-based training and inference, JAX, Python, and PyTorch.
About the employer
Ginas Tech Jobs is hiring for this role. Industry: Employment Placement Agencies. Sector: 56.
Additional details
- Industry sector
- 56
- Industry
- Employment Placement Agencies
- Occupation code
- 15-1252.00
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Listing ID: fadd3129-2b3c-4c5b-98ab-94d07b42924a