Machine Learning Engineer (AI)

Company

Scale AI develops reliable AI systems, high-quality data, and full-stack technologies for enterprise and government applications.

What you will do

• Deploy internal and community-developed state-of-the-art models into production for customer and tasker use cases.
• Improve production models through retraining, hyperparameter tuning, and architectural updates.
• Collaborate with product and research teams to prototype machine-learning product enhancements.
• Build generic and product-specific models using massive datasets and fine-tuning workflows.
• Develop scalable infrastructure to automate and optimize machine-learning services.
• Represent machine-learning capabilities across engineering and product organizations; travel approximately 10% for customer and team needs.

Requirements

• Active TS security clearance required.
• 2+ years of experience building and deploying applied machine-learning systems in production.
• Production experience with generative AI, agentic AI, natural language processing, deep learning, deep reinforcement learning, or computer vision.
• Strong background in algorithms, data structures, and object-oriented programming.
• Strong Python programming skills and experience with TensorFlow or PyTorch.

Nice to have

• Experience deploying software on-premises, at the edge, in air-gapped environments, or across other restricted networks.
• Government or defense experience, including military or civilian service, cleared internships, or federal contracting.
• Hands-on experience fine-tuning open-weight models with LoRA, PEFT, instruction tuning, or embedding-model training.
• Experience creating evaluations for nondeterministic systems, including benchmarks, LLM judges, or regression suites.
• Experience with geospatial data, maps, GIS tooling, spatial reference systems, or imagery.

Culture & Benefits

• Comprehensive health, dental, and vision coverage.
• Retirement benefits, a learning and development stipend, and generous paid time off.
• Eligible roles may include equity compensation and a commuter stipend.
• Inclusive equal-opportunity workplace with reasonable accommodations for applicants with disabilities.

Hiring process

• Salary placement is determined during the interview process based on location, skills, experience, qualifications, interview performance, and education or training.
• Candidates must wait 90 days before reapplying for the same role after a prior application.