Composite Energy Technologies Inc
Founding Machine Learning Engineer
San Francisco
Sponsorship not specifiedDetected 273 days ago
TypeScriptReactNode.jsFull-Stack DevelopmentVector DatabasesMachine LearningData EngineeringNLPLLMsAccessibilityResearch
About the role
- You'll work at the intersection of LLM inference, browser understanding, and low-latency systems, shipping models that need to feel instant while reasoning over complex page state and user context.
- Unlike hosted browser solutions that introduce latency and auth barriers, or consumer-focused "AI browsers," we run AI directly through professionals' existing browsers via a Chrome extension, creating instant response times with zero migration or IT friction.
- This is a high-ownership role on our small, exceptional team where your work ships directly to users and has the potential to tangibly improve the work lives of hundreds of millions of people.
Responsibilities
- Design and optimize LLM inference pipelines, including token caching strategies, streaming architectures, and network-level optimizations between client and server
- Develop synthetic data generation pipelines for browser interaction training data
Requirements
- Strong ML fundamentals with hands-on experience training and deploying models in production
- Experience with LLMs, transformer architectures, or sequence prediction problems
- Raw Intelligence: You can quickly understand complex systems and solve novel, ambiguous problems with self-guidance.
- Experience with browser automation, Chrome extensions, or web scraping at scale
- Familiarity with accessibility tree / DOM parsing for page understanding
- Full-stack development experience (TypeScript, Node.js, React)
Skills
- Experiment with retrieval-augmented approaches using vector databases for contextual memory
- Work with DOM states, accessibility trees, and user interaction data to improve browser understanding
- Ship features end-to-end that go directly to users - this is not a research-only role
- Decisions are made based on a shared framework that applies for everyone.
Benefits
- Background in RL or online learning from user interaction data
- Health is #1: Stay hydrated.
- Maintain good social and mental health.
- We're looking for founding Machine Learning Engineers (MLEs) to own and improve our core action models end-to-end - the intelligence that powers Composite's proactive automation platform.
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This listing is sourced directly from Composite Energy Technologies Inc's careers page and normalized into a canonical job model.