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
We are building a modern, AI-ready Data Platform on Google Cloud Platform.
As a Senior MLOps / LLMOps Engineer, you will help turn ML and AI experiments into reliable, production-ready solutions. You will work closely with researchers, data scientists and engineers to build the infrastructure and practices needed to train, deploy and operate models at scale.
You will also play an important role in helping teams adopt AI technologies and best practices across the company.
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Responsibilities
- Build and maintain MLOps / LLMOps infrastructure on GCP, including ML pipelines, model deployment and monitoring.
- Help researchers and data scientists bring models from experimentation to production.
- Design reliable and scalable solutions for both traditional ML and GenAI / LLM use cases.
- Ensure models and experiments are reproducible, observable and maintainable.
- Advise teams on ML/AI architecture, tooling and best practices.
- Share knowledge and help teams make effective use of GCP AI services.
- Work closely with Data Engineering and DevOps teams on data, infrastructure and CI/CD.
- Contribute to the evolution of the ML/AI platform as the company's AI needs grow.
Requirements
- 7+ years of experience in ML Engineering, MLOps, Software Engineering or a related field.
- Strong Python skills and experience running ML systems in production.
- Solid experience with MLOps, including pipelines, deployment and monitoring.
- Experience with GCP / Vertex AI is a strong plus.
- Experience with Docker and Kubernetes/GKE.
- Familiarity with modern ML frameworks such as PyTorch, TensorFlow or scikit-learn.
- Experience with LLMs / GenAI.
- Strong analytical and communication skills, with the ability to work with both technical and research teams.
- Fluent in English.
Recruitment Process
- Screening call with Doriane (30 min)
- Hiring Manager interview (45 min)
- Technical onsite Interview - (90min)
- Leadership Interview (30 min)
- Fit Interview (30 min)
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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 withUrban 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.
QUANTUM ROLE CONTEXT | Appended by Quantum.Jobs v2
Role context:
This role exists to bridge raw machine learning experimentation and operational software production. Positioned between research teams and core engineering units, the position establishes structured deployment pipelines, automated monitoring, and reliable cloud platform infrastructure. By scaling data workflows and machine learning models, professionals in this function ensure that complex scientific algorithms transition smoothly into stable, observable, and reproducible operational software tools used across the wider organization.
Quantum ecosystem relevance:
While primarily focused on classical machine learning operations, the position supports the broader quantum sector by providing foundational data infrastructure and automated tooling. Quantum hardware developers and algorithm researchers rely on scalable computing platforms to process simulation output, model physical systems, and optimize control routines. By standardizing software deployment and data management, this role enables research teams to maintain operational efficiency while accelerating technical experimentation within hardware development environments.
Capability signals:
- Production deployment of machine learning models on cloud platform infrastructure
- Development of scalable data pipelines and automated workflow monitoring systems
- Technical collaboration between research scientists and core software engineering teams
- Integration of large language model architectures into enterprise operational systems
- Implementation of continuous delivery and containerized infrastructure management practices
