5 months ago
Singapore, SingaporeStaff+
Responsibilities
- Own deployment of ML models and engineering surrogates to customer production environments.
- Define architecture, success metrics, delivery plans, and quality standards for data and ML systems.
- Build robust and scalable ML systems, training and inference pipelines, and APIs.
- Work with data scientists, simulation engineers, and customers to define engineering and physics solutions.
- Communicate results and trade-offs, steer roadmaps, and influence product decisions.
- Mentor and develop engineers and data scientists while providing technical direction.
- Scope new projects and workstreams with existing customers and support bringing new customers to PhysicsX.
- Translate R&D and project outputs into reusable libraries, tooling, and products.
Requirements
- At least 3 years of industry experience in a commercial, non-research environment after a Master's or PhD.
- Experience shipping machine learning systems end-to-end and at scale.
- Ability to design, build, and test reliable, scalable ML data pipelines.
- Experience exploring and manipulating 3D point-cloud and mesh data for geometry-aware modeling.
- Experience building ML systems, training and inference pipelines, and APIs for cloud and on-premise environments.
- Ability to lead technical initiatives, own complex workstreams, mentor others, and guide teams to successful outcomes.
- Ability to communicate technical results and trade-offs to senior stakeholders and influence product direction.
- Willingness to travel to customer sites internationally for an average of 3–4 weeks per quarter.
Benefits
- Travel to customer sites in North America, Europe, Asia, Oceania for an average of 3–4 weeks per quarter.
- Equal employment opportunity and diversity-focused workplace commitments.
- Sponsorship of women from disadvantaged backgrounds through university degrees in science and mathematics.
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.