Senior/Staff Machine Learning Research Engineer, General Agents, Enterprise GenAI
Scale AI · San Francisco, CA; New York, NY · New York, NY · San Francisco, CA · Seattle, WA
CHECKED 14H AGO
Infrastructureonsitesenior/staff
At a glance
Highlights
- Build production-grade general agents solving high-impact enterprise problems.
- Own full agent lifecycle from design and evaluation to deployment and iteration.
- Turn frontier agentic research into reliable systems delivering real economic value.
Ideal candidate
A product-minded AI builder who thrives in ambiguity and cares about turning cutting-edge agent research into reliable systems that deliver real customer impact.
Requirements
- 5+ years of experience building and deploying machine learning or AI systems for production use
- Bachelor's and/or Master's degree in Computer Science, Machine Learning, AI, or equivalent practical experience
- Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design
- Proven proficiency in Python, including writing production-quality, testable, and maintainable code
- Experience building systems that integrate models with external tools, APIs, databases, and services
- Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints
- Strong communication skills and comfort working in customer-facing or cross-functional environments
Lab profile
About Scale AI
AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.
What they build
- Training, fine-tuning, and evaluation data for frontier models
- Multimodal and coding data for audio, image, video and world models
- Custom AI applications for enterprise and global public sector
Known for
- Leading data partner for frontier model developers
- Trusted across enterprise, defense and public sector
- Depth in multimodal, coding and physical AI
- End-to-end capability from strategy to delivery and evaluation
Key facts
- Founded in 2016
- Headquartered in San Francisco, California
- Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta