Machine Learning Engineer - San Francisco, CA
PhysicsX · San Francisco, CA · All 14 PhysicsX jobs
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Typical pay for this role in San Francisco
The median advertised range for a machine learning engineer in San Francisco is $195,000 to $285,982, from 97 adverts that state a yearly pay. This job, at $150,000 to $190,000, sits below the bottom of that range.
Median of the advertised lower and upper figures, not a promise of what is paid.
Required skills
- Machine Learning
- Etl
- Data Science
- Deep Learning
- Statistics
- Supply Chain
- Python
- Tensorflow
- Spark
- AWS
- Azure
- GCP
Nice to have
- Recruitment
- CI/CD
- Tax
About the job
About us Re-architecting Engineering for the Age of Intelligence PhysicsX is the physics AI company for industrials. The company’s mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle.
This is a short excerpt. The full advert and the application live on the employer's own site.
You apply on the employer's site.
Source: PhysicsX's careers site
Adverts belong to the employers' own sites.