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Open positions

Positions are currently closed -- stay tuned

We’re always looking for talented individuals to join our team. Check out our current openings:

Research Engineer – Mandatory Location in Paris

Mission: Accelerate research iteration by building the infrastructure, tools, and pipelines that turn AI concepts into production-ready demonstrators.

Core focus: Balance high-level ML experimentation with rigorous platform engineering and prototype hardening.

Key responsibilities

  • Infrastructure & MLOps — Manage scalable cloud environments (e.g. Terraform) and orchestrate GPU/HPC clusters (Kubernetes).
  • Automation — Build CI/CD pipelines for model testing, evaluation, and deployment.
  • Research support — Troubleshoot distributed training and help scientists containerize complex workflows and agentic systems.
  • System hardening — Turn unstable research prototypes into maintainable, demo-ready products with full observability and monitoring.

Required qualifications

  • Experience: 5+ years in DevOps, MLOps, or Platform Engineering.
  • Technical stack: Deep proficiency in Terraform, Python, and modern cloud platforms (e.g. Azure).
  • Hardware: Hands-on experience with GPU workloads and distributed training environments.
  • Mindset: Service-oriented—you thrive on unblocking research teams.

Bonus points & culture

  • The extras: Interest in semiconductor tech, hardware–software co-design, and low-level GPU performance.
  • The vibe: Low-ego, collaborative; we prioritize engineering rigor and long-term sustainability over crunch.

Research Scientist – Preferred Location in Paris

Mission: Advance the lab’s research agenda by designing experiments, publishing high-impact work, and turning novel ideas into reproducible, publishable results. Core focus: Combine deep technical work (models, theory, or systems) with clear communication and collaboration across the team and with external partners.

Key responsibilities

  • Research — Define and execute research projects; publish in top venues (e.g. NeurIPS, ICML, ACL, EMNLP, or domain-specific conferences).
  • Prototyping — Implement and iterate on models and algorithms; work with the engineering team to move ideas from notebook to demonstrator.
  • Collaboration — Engage with PhD students, postdocs, and engineers; contribute to grant writing and external partnerships when relevant.
  • Rigor — Maintain high standards for reproducibility, evaluation, and documentation of methods and results.

Required qualifications

  • Experience: PhD in Computer Science, ML, NLP, or a related field (or equivalent research track record).
  • Technical depth: Strong background in machine learning, deep learning, or natural language processing; proficient in Python and standard ML frameworks.
  • Publication record: Evidence of impactful research (e.g. first-author papers at top conferences or journals).
  • Mindset: Curious, rigorous, and able to work both independently and in a team.

Bonus points & culture

  • The extras: Interest in distributed intelligence, edge AI, hardware-aware ML, or agentic systems.
  • The vibe: Low-ego, collaborative; we value scientific rigor, open science, and long-term impact over short-term metrics.

General Application

Don’t see a position that fits? We’re always open to hearing from exceptional candidates. Send your CV and a short note on your research interests—we’ll keep you in mind for future openings.

Contact

Email: ludovic.denoyer@imec.be