1 day ago
London, United KingdomEntry Level
Responsibilities
- Design, build, and test reliable, scalable, and deployable data and machine learning pipelines.
- Productionize machine learning models and surrogates with validation and error analysis.
- Explore and manipulate 3D point-cloud and mesh data using graph- and geometry-aware techniques where appropriate.
- Integrate data science models with simulation systems in collaboration with simulation engineers.
- Work directly with customers to define engineering and physics challenges, build solutions, onboard users, and co-develop products.
- Present and communicate with technical teams and customers while maintaining and improving production systems.
- Travel to customer sites in North America, Europe, Asia, and Oceania for an average of 3–4 weeks per quarter.
Requirements
- At least 1 year of industry experience in a commercial, non-research environment after completing a Master's or PhD.
- Experience building, deploying, and maintaining production-grade machine learning tools and pipelines.
- Ability to work across data science and software engineering and make pragmatic product decisions.
- Ability to understand advanced engineering concepts and collaborate with customers and multidisciplinary technical teams.
- Experience or capability in manipulating 3D point-cloud and mesh data and applying geometry-aware techniques.
- Willingness to travel frequently to customer sites internationally.
Benefits
- Hybrid work model with around three days per week in the Shoreditch office and work-from-home days.
- Equity options.
- 10% employer pension contribution.
- Free office lunches.
- Enhanced parental leave, including 3 months full-pay paternity leave and 6 months full-pay maternity leave.
- YellowNest nursery scheme.
- 25 days of annual leave plus public holidays.
- Private medical insurance with 100% employee cover.
- Wellhub subscription and eye tests.
- Personal development support and an Employee Assistance Programme.
- Bike2Work scheme, season ticket loan, and Octopus EV salary sacrifice scheme.
Categories
About PhysicsX
PhysicsX builds an AI-driven simulation software stack that enables high-fidelity, multi-physics modeling and optimization for engineering and manufacturing teams. The company sells software and delivery services to enterprises in aerospace and defense, automotive, semiconductors, materials, and energy. It is privately held and headquartered in London, with offices in London and New York.