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 ❯
environments) Hands-on with Docker, Kubernetes, and Terraform Strong scripting skills in Python or Bash Familiar with ML lifecycle tools, model monitoring, and versioning Exposure to tools like KServe, Ray Serve, Triton, or vLLM is a big plus Bonus Points Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP 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 (CAD 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 ❯
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 FastAPI, PyTorch, Ray, k8s (helm + flux), Terraform, Postgres, Flink on AWS, React & Typescript. We operate a fully Python stack except for frontend and infrastructure code. We are very big fans of Infrastructure 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 ❯
thinking, and influence across teams A bias for action, accountability, and leading by example Preferred Skills (Nice to Have) Experience with AI/ML infrastructure tooling (e.g. vLLM, KServe, Ray, Triton) Familiarity with Python, especially ML libraries and model interfaces Exposure to GPU orchestration frameworks or building services for model training/inference Understanding of multi-tenant systems, isolation strategies … thinking, and influence across teams A bias for action, accountability, and leading by example Preferred Skills (Nice to Have) Experience with AI/ML infrastructure tooling (e.g. vLLM, KServe, Ray, Triton) Familiarity with Python, especially ML libraries and model interfaces Exposure to GPU orchestration frameworks or building services for model training/inference Understanding of multi-tenant systems, isolation strategies More ❯
