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. More ❯
Pallas, Triton, and/or CUDA code to achieve performance breakthroughs. Required Skills Understanding of Linux systems, performance analysis tools, and hardware optimisation techniques Experience with distributed training frameworks (Ray, Dask, PyTorch Lightning, etc.) Expertise with Python and/or C/C++ Development with machine learning frameworks (JAX, Tensorflow, PyTorch etc.) Passion for profiling, identifying bottlenecks, and delivering efficient More ❯
experiments. Experience with ML model monitoring systems. Experience with ML training and data pipelines and working with distributed systems. Proficiency with modern deep learning libraries and frameworks (PyTorch, Lightning, Ray). Preferred Qualifications Experience owning a product from development through monitoring and incident response. Knowledge of the design, manufacturing, AEC, or media & entertainment industries. Experience with Autodesk or similar products More ❯
experiments. Experience with ML model monitoring systems. Experience with ML training and data pipelines and working with distributed systems. Proficiency with modern deep learning libraries and frameworks (PyTorch, Lightning, Ray). Preferred Qualifications Experience owning a product from development through monitoring and incident response. Knowledge of the design, manufacturing, AEC, or media & entertainment industries. Experience with Autodesk or similar products More ❯
features which deliver AI capabilities to some of the biggest names in the insurance industry. We are developing a modern real-time ML platform using technologies like Python, PyTorch, Ray, k8s (helm + flux), Terraform, Postgres and Flink on AWS. We are very big fans of Infrastructure-as-Code and enjoy Agile practices. As a team, we're driven by More ❯
lifecycle pain points and practical solutions Experience building systems for scaling training, versioning, and deployment Bonus points for experience with distributed compute, data engineering, and orchestration frameworks (e.g. Airflow, Ray, KubeFlow). Why join? Top-tier quant finance firm with huge tech investment Competitive base salary + 50100%+ annual bonus 25 days holiday, monthly WFH allowance, and 20/ More ❯
and high-profile global clients: Meta . Meta is home to some of the most recognised platforms and technologies in the world-including Facebook, Instagram, WhatsApp, Meta Quest and Ray-Ban Meta smart glasses. As their global media agency of record, we're responsible for helping shape how Meta shows up across markets and media channels worldwide. This is a More ❯