About the job

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation through AI-driven simulation software for advanced industries like Aerospace, Defense, Energy, Semiconductors, and Automotive. As a Machine Learning Engineer, you’ll work closely with simulation engineers, data scientists, and customers to build and test reliable, scalable ML pipelines, particularly involving 3D point cloud and mesh data. You’ll contribute to designing data infrastructure, optimizing frameworks, and transforming research results into production-ready tools. The role requires at least 2 years of experience in ML or data-focused roles, strong Python skills, familiarity with ML libraries (like TensorFlow or MLFlow), distributed computing (Spark/Dask), cloud platforms (AWS, Azure, GCP), and container tools (Docker/Kubernetes). A background in Physics, Engineering, or similar is expected. The company offers a competitive salary, equity options, flexible hybrid work, a flat hierarchy, and growth opportunities. PhysicsX values diversity and sponsors bright women from underrepresented backgrounds in science and tech. Visa sponsorship is available for the right candidate.