Related skills
machine learning system architecture llms ml engineering backend engineering📋 Description
- Frontier work with LLMs, multi-agent architectures, and human-in-the-loop learning.
- Implement Mo capabilities across engineering, data, and medical expertise.
- Scale Mo to millions of users; optimize latency and reliability.
- Integrate Mo with Alan services to boost member value.
- Extend architecture to support Mo’s future needs and new countries.
- Influence system architecture and code quality; mentor engineers.
🎯 Requirements
- 3+ years of product engineering experience.
- Strong software engineering and systems architecture background.
- Experience with traditional ML, or LLMs, or ML DevOps is a plus.
- Product-minded: solutions should be used and impactful.
- Self-directed, pragmatic, collaborative, and growth-minded.
- Fluent in English (no French required).
🎁 Benefits
- Fair rewards. Generous equity packages.
- Flexible Office: HQ or full remote with sponsorship.
- All the tools you need: MacBook Pro, peripherals.
- Flexible vacation policy and working hours.
- Delightful healthcare insurance for you and dependents.
- Parental leave: extended leave for new parents.
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