Senior ML Engineer
CDIJob Overview
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!
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.
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!
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.
Responsibilities
- Architecture & Deployment: Lead the design and implementation of complex ML workflows. You will architect solutions that are not just accurate, but scalable, maintainable, and observable in production.
- Cross-Functional Leadership: Proactively collaborate with quantum physicists to identify bottlenecks in the chip lifecycle. You will translate high-level physical constraints into precise algorithmic requirements and drive the solution to completion.
- Technical Roadmap: Identify gaps in the ML stack and proactively propose, scope, and prioritize multi-quarter improvements. You will own the roadmap for one or more core optimization components.
- Mentorship & Standards: Conduct code reviews and guide junior engineers in software design patterns. You will play a key role in defining the "gold standard" for engineering within the optimization team.
- Engineering Influence: Contribute to engineering standards beyond the immediate team. Participate in cross-team design reviews, define reusable patterns, and help shape how ML is built across the organization.
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.
Nice to Have
- Deep Tech Experience: Experience working in hardware-constrained environments (robotics, semiconductors, physics) or with scientific computing.
- Research Impact: Lead authorship at top-tier ML conferences, or a background in Physics/Quantum mechanics.
Recruitment Process
- Screening Call with Grace, Talent Acquisition Specialist (30 min)
- Hiring Manager Interview with Etienne (45 min)
- Technical Interview with the Team (90 min)
- Leadership Team Interview (30 min)
- Fit Interview (45 min)
- Reference Check
Benefits:
- Our success is your success: own it with our BSPCE plan
- Direct IP Compensation: Earn substantial bonuses for driving the core patents that define our quantum architecture.
- Flexible remote policy, up to 40 % a month
- A Parental plan including additional benefits such as crèche support or additional days-off to take care of under 12 years old children
- Subsidized membership with Urban Sports Club
- Mental health support with moka.care
- 25-day vacation policy (as per French law) + RTT
- Half of transportation cost coverage (as per French law), or yearly allowance for the die-hard bicycle users
- Competitive health coverage, with Alan.
- Meal vouchers with Swile, as well as access to a fully equipped and regularly stocked kitchen
- French language courses covered by the company for those interested
Research shows that women might feel hesitant to apply for this job if they don't match 100% of the job requirements listed. This list is a guide, and we'd love to receive your application even if you think you're only a partial match. We are looking to build teams that innovate, not just tick boxes on a job spec.
You will join of one of the most innovative startups in France at an early stage, to be part of a passionate and friendly team on its mission to build the first universal quantum computer!
We love to share and learn from one another, so you will be certain to innovate, develop new ideas, and have the space to grow.