Join to apply for the Senior Machine Learning Engineer role at InstaDeep

InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London.

We are looking for a Machine Learning Engineer to join the DeepPCB team and help push the boundaries of AI for electronic design automation (EDA). You will develop, optimize, and deploy cutting-edge machine learning and reinforcement learning models focused on automating complex PCB design problems, working closely with researchers and engineers to bring ideas to life.

Role Overview

DeepPCB is InstaDeep’s AI-powered Place & Route PCB (Printed Circuit Board) design tool. We use a combination of deep reinforcement learning and high-performance computing to automate and scale PCB place-and-route workflows, accelerating hardware innovation globally.

Responsibilities

• Develop scalable and efficient machine learning algorithms to tackle PCB place-and-route challenges.
• Adapt and optimize ML models for large-scale distributed computing environments (e.g., GPUs, multi-node clusters).
• Build, test, and deploy robust production-level ML systems integrated into the DeepPCB platform.
• Collaborate with research scientists, software engineers, product managers, and business development teams.
• Clearly document and present your work internally and externally, adjusting technical depth based on the audience.
• Participate in technical discussions, design reviews, and customer-facing activities when required.

Requirements

• B.Sc., M.Sc., or Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related technical field.
• 5 years of professional experience in applied machine learning or engineering roles.
• Strong expertise in Machine Learning and Deep Learning, with exposure to Reinforcement Learning as a plus.
• Proficiency in Python and modern ML libraries (e.g., TensorFlow, PyTorch, JAX, or Keras).
• Experience with version control systems (GitHub, GitLab) and knowledge of clean, maintainable coding practices.
• Familiarity with CI/CD pipelines for automating ML workflows.
• Ability to thrive in a fast-paced, collaborative, and dynamic environment.

Nice to haves

• Prior experience with PCB design, EDA tools, or related optimization problems.
• Hands-on experience in high-performance computing environments (e.g., Kubernetes, Ray, Dask).
• Contributions to open-source projects, publications, or top placements in ML competitions (e.g., Kaggle).
• Expertise in related fields such as Computer Vision, Representation Learning, or Simulation Environments.

Our commitment to our people

We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we’re proud to continue encouraging and supporting applicants from underrepresented groups across the globe.

We are an equal opportunities employer and welcome applications from all qualified candidates. We operate on a hybrid work model with guidance to work at the office 3 days per week to encourage close collaboration and innovation.