Senior/Principal Machine Learning Engineer
USA, CA, Pleasanton, United States
USD 190K-342K Senior-level Full Time
Tasks
- Build evaluation and feedback loops
- Build model and agent logic in production
- Continuously improve model and agent performance
- Deploy and monitor ML models
- Design ML systems for AI agents
- Develop reliable explainable scalable systems
- Implement rag pipelines
- Implement workflow orchestration
- Lead and mentor ML engineering teams
- Partner with software engineers to integrate agents into platform
Perks/Benefits
Skills/Tech-stack
AWS | Autonomous Agents | Cloud Computing | Cloud platform | Deep learning | Evaluation | Google Cloud | Google Cloud Platform | Graph Neural Networks | Language Models | Language Processing | Large Language Models | Machine Learning | Model Deployment | Model Monitoring | Natural Language | Natural Language Processing | Neural Networks | PyTorch | Retrieval-Augmented Generation | Supervised Learning | TensorFlow | Unsupervised Learning | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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