ML Engineer: Physics AI, Onsite SF + Equity
UniversalAGI21 days ago
San Francisco, CA, United States
On-site
Full-time
Junior Level (1-3 years)
Job Description
An AI startup in San Francisco seeks a Machine Learning Engineer
to build and optimize data pipelines for AI models. This role includes end-to-end management of model training and fine-tuning workflows while ensuring high-quality outcomes. Candidates are expected to have strong engineering skills, a solid understanding of the ML lifecycle, and a mindset focused on measurable improvements. You'll work closely with the CEO and researchers, shaping the future of physics through AI-driven solutions. Competitive salary and equity options are included.
Job ID: J-18808-Ljbffr
Company: UniversalAGI
Required Skills
ML Lifecycle Management
Model Training
Problem Solving
Model Fine-tuning
Machine Learning
Strong Engineering Skills
Data Analysis
Data Pipeline Optimization