Senior Machine Learning Engineer - Foundational ML, AI for Biology & Translation (AIBT)
South San Francisco - Off Campus, United States
USD 147K-274K Senior-level Full Time
Tasks
- Automate deployment and operations
- Build and maintain ML infrastructure on AWS
- Build and scale AI agents
- Build and scale foundation models
- Deploy and monitor ML systems
- Design and operate AgentOps backbone
- Design and operate MLOps backbone
- Ensure reproducible training and inference
- Manage CI/CD pipelines
- Monitor training and inference workflows
- Optimize distributed training and inference
- Orchestrate services with Kubernetes
- Provision infrastructure with Infrastructure-as-Code
- Track experiments and evaluate models
- Use Git for version control
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AgentOps | Amazon EC2 | Amazon EKS | Amazon S3 | Amazon SageMaker | Automated testing | CI/CD | Deep learning | Distributed Training | Experiment tracking | Git | Helm | Infrastructure as Code | JAX | Kubernetes | Language Models | Large Language Models | MLOps | Model Monitoring | PyTorch | Python | Terraform | “as-code”
Education
Regions
Countries
States
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