Machine Learning Engineer, Public Sector
$196k - $294k • Denver, CO; Honolulu, HI; Washington, DC
Posted 5d ago
Job Location
Denver, CO; Honolulu, HI; Washington, DC
Tech Stack
Remote Work Policy
On-site
Categories
Machine Learning Engineer
About the job
The Machine Learning Engineer role at Scale focuses on applying advanced techniques in generative AI, computer vision, reinforcement learning, and agentic AI to enhance production environments for Scale's products and customer experience. Leveraging robust internal infrastructure and extensive datasets, ML engineers drive product improvements. The Public Sector team specifically deploys cutting-edge models for mission-critical government systems, working with large language models and computer vision. This includes developing agentic systems for complex challenges, building agent frameworks, and creating evaluation tools. Efforts also involve advancing reinforcement learning for LLMs and training advanced computer vision models for defense applications, including large-scale fine-tuning and developing generalizable foundation models.
Responsibilities
- Deploy state-of-the-art models into production to solve customer problems.
- Maintain and improve production models through retraining, tuning, and architectural updates.
- Collaborate with product and research teams to prototype ML-driven product enhancements.
- Develop generic and fine-tuned models using large datasets.
- Build scalable ML infrastructure to automate and optimize ML services.
- Act as a cross-functional advocate for machine learning techniques.
- Quickly learn new technologies and manage multiple priorities in a fast-paced environment.
- Travel lightly (approx. 10%) for customer interaction and team needs.
Requirements
- 2+ years of experience building and deploying applied ML systems in production.
- Extensive experience with GenAI, Agentic AI, NLP, deep learning, deep reinforcement learning, or computer vision in production.
- Solid background in algorithms, data structures, and object-oriented programming.
- Strong Python programming skills.
- Experience with Tensorflow or PyTorch.
- Active TS security clearance required.
Benefits
- Base salary, equity, and benefits package.
- Comprehensive health, dental, and vision coverage.
- Retirement benefits.
- Learning and development stipend.
- Generous PTO.
- Potential commuter stipend.