Scale AI
Machine Learning Research Engineer, Agents - Enterprise GenAI
About this role
Scale is seeking a Machine Learning Research Engineer to advance AI applications for enterprise clients, focusing on state-of-the-art algorithms and agent-building techniques. The role involves deploying cutting-edge models and optimizing approaches using real-world enterprise data.
What you'll do
- Train state-of-the-art AI models for enterprise deployment
- Research innovative algorithms for the training stack
- Develop agents using proprietary agent-building algorithms
- Define effective tools and multi-agent systems
- Analyze complex datasets to enhance performance
- Support enterprise clients with advanced solutions
What they're looking for
- 1-3 years experience with LLMs in production
- Knowledge of post-training methods like RLHF/RLVR
- Familiarity with algorithms such as PPO/GRPO
- Strong research background in AI
- Publication experience in top AI conferences
- PhD or Masters in Computer Science or related field
- [unknown]
- [unknown]
Benefits
- Comprehensive health, dental, and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous paid time off (PTO)
- Equity-based compensation
- Commuter stipend eligibility
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Scale AI
Scale AI builds a Generative AI Data Engine and ML infrastructure platforms that power LLM training, evaluation, and production serving at scale, along with data solutions for robotics and autonomous driving. The company is hiring Software Engineers for full-stack feature development and infrastructure systems, identity/security specialists for platform engineering, and Solutions Engineers to support enterprise clients and pre-sales processes.
- Website
- scale.com