Machine Learning Expert

Innovation is at the heart of what we do. We work as a cohesive team that collectively develops real-life decision-making and technology products across various industries. Be part of a stimulating and collaborative environment where your ideas can make an impact and ignite transformative change worldwide. 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 a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry. Join us to be a part of the AI revolution! 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. 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. 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., 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. D. in Computer Science, Machine Learning, Electrical Engineering, or a related technical field. ~2–5 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., Experience with version control systems (GitHub, GitLab) and knowledge of clean, maintainable coding practices. ~ Familiarity with CI/CD pipelines for automating ML workflows. ~ Hands-on experience in high-performance computing environments (e.G., Contributions to open-source projects, publications, or top placements in ML competitions (e.G., Expertise in related fields such as Computer Vision, Representation Learning, or Simulation Environments. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team?We operate on a hybrid work model with guidance to work at the office 3 days per week to encourage close collaboration and innovation. Please note that you will require the legal right to work in the location you are applying for.