Machine Learning Scientist - Physics-Informed
San Diego CA Offices, USA, United States
USD 135K Mid-level Full Time
Tasks
- Analyze experimental results
- Build data pipelines
- Build scalable training pipelines
- Deploy and maintain master virtual models
- Develop physics-informed machine learning models
- Document learnings and communicate to teams
- Integrate physics based models
- Reduce model uncertainty
- Troubleshoot ML algorithms and data streaming
- Validate models using test bench experiments
Perks/Benefits
- 401k plan
- Basic life insurance
- Dental insurance
- Health insurance
- Paid Holidays
- Paid vacation
- Vision insurance
Skills/Tech-stack
Apache Spark | Automation frameworks | Azure Databricks | Azure Kubernetes | Azure Kubernetes Service | C# | C++ | Cloud Computing | Cloud Edge | Data Engineering | Data Management | Data pipeline | Database tools | Deep learning | Google Distributed Cloud | Google Distributed Cloud Edge | JAX | Kubernetes Service | MATLAB | MLflow | Machine Learning | Model Integration | Model Validation | Optimization | Physics-informed machine learning | PyTorch | Python | Scalable training | Scientific Computing | Simulation
Education
Regions
Countries
States
Cities
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