Senior ML Engineer
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About the role
The Performance Optimization team is at the heart of our mission: using Machine Learning to dramatically improve the quality, speed, and reliability of the quantum chip lifecycle. As a Senior Machine Learning Engineer, you will own the architectural blueprint and technical direction of key components in our ML stack. This is a high-autonomy role where you'll set the standards for how we build, scale, and deploy.
Requirements
- 5+ years of industry experience in Machine Learning Engineering or Software Engineering with a strong ML focus, or a PhD + 3 years in the industry.
- Ownership Track Record : Demonstrated experience independently owning an ML project end-to-end, from ambiguous problem definition through production deployment and iteration.
- Technical Proficiency: Advanced expertise in Python and the modern ML stack (PyTorch/JAX). Proven experience building and maintaining production-grade software (not just notebooks).
- System Knowledge: Experience with MLOps tools, distributed training, or cloud infrastructure.
- Mathematical Fluency: Strong grasp of linear algebra and optimization, with the ability to discuss technical trade-offs with research scientists.
Benefits
Additional Information
Alice & Bob is developing the first universal, fault-tolerant quantum computer to solve the world's hardest problems. The quantum computer we envision building is based on a new kind of superconducting qubit: the Schrödinger cat qubit 🐈⬛. In comparison to other superconducting platforms, cat qubits have the astonishing ability to implement quantum error correction autonomously! We're a diverse team of 250+ brilliant minds from over 35 countries united by a single goal: to revolutionise computing with a practical fault-tolerant quantum machine. Are you ready to take on unprecedented challenges and contribute to revolutionising technology? Join us, and let's shape the future of quantum computing together!
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Company Intel
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