Senior Machine Learning Engineer, Public Sector
Tasks
- Automate perception tasks for computer vision
- Build fine tuning pipelines
- Build scalable machine learning infrastructure
- Collaborate with product and research teams
- Deploy state of the art machine learning models
- Develop agent frameworks with retrieval pipelines and production APIs
- Evaluate and benchmark agent behavior
- Improve and maintain production models
- Prototype ML driven product enhancements
- Retrain models and tune hyperparameters
- Train models across multiple modalities
- Update model architectures
Perks/Benefits
- Commuter stipend
- Comprehensive health coverage
- Dental and vision coverage
- Generous PTO
- Learning and development stipend
- Light travel
- Retirement benefits
Skills/Tech-stack
APIs | AWS | Agentic AI | Algorithms | Cloud Platforms | Cloud platform | Computer Vision | Data Structures | Deep learning | Deep reinforcement learning | Fine Tuning | GenAI | Google Cloud | Google Cloud Platform | Hyperparameter Tuning | Language Models | Language Processing | Large Language Models | Machine Learning | Machine Learning Infrastructure | Model Evaluation | Natural Language | Natural Language Processing | Object-Oriented | Object-oriented programming | PyTorch | Python | Reinforcement Learning | Reinforcement Learning for Agents | Retrieval Pipelines | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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