(High Salary) Machine Learning Engineer...

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. We are always on
the lookout for talented minds to join our dynamic team and
contribute their unique insights. 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! About DeepPCB: 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.
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. - 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., 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. 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. We are continuing to review the situation with the
well-being of InstaDeepers at the forefront of our minds. Right to
work: Please note that you will require the legal right to work in
the location you are applying for. Ready to take the next step?
Check out our FAQs and discover what makes us tick! Can I apply to
multiple jobs? I was interviewed/applied last year and wasn't
selected. May I reapply? I don't live where the job opportunity is.
Can I still apply? #J-18808-Ljbffr