Summary
What you’ll impact
The Machine Learning Engineer on the organization's Public Sector team will deploy and improve state-of-the-art generative AI, LLM, and computer vision models for mission-critical government systems. The role involves building scalable ML infrastructure, collaborating across product and research teams, and requires an active TS security clearance.
Responsibilities
What you'll do
- Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers
- Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics
- Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines
- Work with massive datasets to develop both generic models as well as fine tune models for specific products
- Build scalable machine learning infrastructure to automate and optimize our ML services
- Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations
- Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment
- Comfortable with light travel (approximately 10%) for customer interaction and team needs
Requirements
What you’ll bring
- This role will require an active TS security clearance