Scale AI
Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenAI
About this role
Scale is seeking a Machine Learning Research Engineer to advance AI applications by developing innovative algorithms and synthetic environments for enterprise use. The role involves creating high-performance agents and training state-of-the-art models to enhance AI capabilities for various clients.
What you'll do
- Build synthetic data pipelines for RL post-training
- Create agents for actionable insights from production traces
- Contribute to agent-building product development
- Train advanced models for enterprise deployment
- Research data flywheel methods for enterprise applications
- Work with cutting-edge synthetic environments
What they're looking for
- 3+ years with LLMs in production
- Experience in data construction for LLMs
- Research publications in top conferences
- PhD or Masters in Computer Science or related field
- Expertise in agent-building algorithms
- Knowledge of RL and synthetic data
- Strong analytical and problem-solving skills
- Familiarity with AI advancements
Benefits
- Comprehensive health, dental, and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Equity-based compensation
- Commuter stipend [unknown]
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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