Alice & Bob
Alice & Bob

Junior Machine Learning Engineer

Join Alice & Bob, a pioneering startup in the quantum computing industry. As a Junior Machine Learning Engineer, you will work on advanced ML and optimization tools for quantum chip development. You will bridge the gap between R&D and production, transforming algorithms into efficient implementations and overseeing ML model training. The role requires a Master's degree in a related field, proficiency in Python, and a solid mathematical background. Benefits include a competitive vacation policy, health benefits, meal vouchers, and a flexible remote policy.

Résumé suggéré par Welcome to the Jungle

Résumé du poste
CDI
Paris
Télétravail fréquent
Salaire : Non spécifié
Compétences & expertises
Souci du détail
TICK
Pytorch
Python
Missions clés

Design, develop, and implement machine learning and optimization algorithms for quantum chip lifecycle.

Drive the integration of algorithms into the complex software system, ensuring code robustness and system compatibility.

Coordinate and train machine learning models on a GPU cluster, handling job scheduling and performance monitoring.

Alice & Bob
Alice & Bob

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Le poste

Descriptif du poste

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 are at the forefront of the quantum race, competing with tech giants such as Google or IBM, and we are growing fast after securing  €100 million of funding in 2025 to develop our unique technology.

Currently 100+ and counting, between physicists, PhD students, engineers and experienced business professionals, we are united to reach our ambitious goal. Are you a quantum pioneer? Join us on a mission to reshape the future!

About the role:

The Performance Optimization team aims at using advanced ML & Optimization tools on all the lifecycle of a quantum chip: design, simulation, calibration, operation, error correction.

As a Machine Learning Engineer, you will bridge the gap between R&D and production. You'll transform conceptual algorithms into efficient, hardware-integrated implementations alongside your team. Additionally, you will oversee ML model training on a dedicated GPU cluster, gaining valuable expertise in quantum research and practical AI development.

Responsibilities

  • Design, develop, implement machine learning and optimization algorithms
  • Develop the link between our quantum hardware and experiment’s tooling
  • Drive the integration of algorithms into our complex software system, prioritizing code robustness and system compatibility
  • Coordinate and train ML models on a GPU cluster, and handle job scheduling and performance monitoring

    • Requirements

  • Master's degree in Machine Learning, Computer Science, Applied mathematics or related field
  • Demonstrated proficiency in Python programming and numerical modelling, and familiar with a tensor library (PyTorch, Jax)
  • Solid mathematical background to interact with quantum physicist 

    • Nice to Have

  • Publications in machine learning conferences as a lead author
  • Ability to manage and execute deployment tasks (e.g., SSH, environment setup, debugging)
  • Curiosity about quantum physics and physical simulation (prior knowledge is a plus but not required)
  • Exceptional attention to detail and a high degree of ownership, ensuring complete, high-quality project delivery

    • Benefits

  • 25-day vacation policy (as per French law) + RTT
  • Half of transportation cost coverage (as per French law), or yearly allowance for bike enthusiasts
  • Competitive health benefits with Helium/AXA
  • Meal vouchers with Swile, as well as access to a fully equipped kitchen
  • Parental benefits with crèche support
  • Flexible remote policy, up to 40 % a month
  • Language courses covered by the company
  • Mental health support with moka.care
  • Subsidized membership with Urban Sports Club

    • Recruitment Process

  • Screening Call with Grace, Talent Acquisition Specialist (30 min)
  • Hiring Manager Interview with Jérémie, VP Firmware (45 min)
  • Technical Interview/Presentation with the Team (90 min)
  • Leadership/Fit Interview (45 min)
  • Reference check

    • 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.

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