Software Engineer - Model Training Infrastructure
Description For Software Engineer - Model Training Infrastructure
Anyscale, backed by Andreessen Horowitz, NEA, and Addition with $250+ million in funding, is revolutionizing distributed computing through Ray, their open-source project. They're seeking a Senior Software Engineer for their Distributed Training team to develop and maintain core ML libraries like Ray Train and Ray Tune. The role involves building scalable ML infrastructure used by major companies like OpenAI, Uber, and Spotify.
The position requires 5+ years of experience in production software systems and offers a competitive salary range of $170,112-$237,000. The ideal candidate will have strong ML framework knowledge, distributed systems experience, and architectural skills. They'll work on creating fault-tolerant ML libraries, engaging with the open-source community, and collaborating with global ML teams.
The role provides comprehensive benefits including healthcare (99% covered), 401k, stock options, parental leave, and education stipends. Based in San Francisco or Palo Alto, this opportunity offers the chance to shape the future of ML infrastructure while working with industry experts. The position combines technical leadership with hands-on development, making it perfect for those passionate about scaling ML applications.
Responsibilities For Software Engineer - Model Training Infrastructure
- Develop scalable, fault-tolerant distributed machine learning libraries
- Create end-to-end experience for training machine learning models
- Solve complex architectural challenges
- Contribute to and engage with the open-source community
- Share work through talks, tutorials, and blog posts
- Collaborate with experts in distributed systems and machine learning
- Work directly with end-users for product enhancement
- Partner with engineering and product managers
- Play key role in building and shaping company
Requirements For Software Engineer - Model Training Infrastructure
- Minimum 5+ years of experience building, scaling, and maintaining software systems in production
- Strong fundamentals in algorithms, data structures, and system design
- Proficiency with machine learning frameworks and libraries (PyTorch, TensorFlow, XGBoost)
- Experience designing fault-tolerant distributed systems
- Solid architectural skills
Benefits For Software Engineer - Model Training Infrastructure
- Healthcare plans, with premiums covered by Anyscale at 99%
- 401k Retirement Plan
- Education & Wellbeing Stipend
- Paid Parental Leave
- Fertility Benefits
- Flexible Time Off
- Commute reimbursement
- 100% of in office meals covered
- Stock Options
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