3 months ago
Base Salary
$150k - $190k/yr
Responsibilities
- Collaborate with simulation engineers, data scientists, and customers to understand engineering, physics, and manufacturing challenges.
- Design, build, and test reliable, scalable, and deployable machine learning data pipelines.
- Explore and manipulate 3D point-cloud and mesh data for geometry-aware modeling.
- Own the delivery of technical workstreams and guide teams toward successful outcomes.
- Create cloud or on-premise analytics environments and resources spanning data engineering and data science.
- Select appropriate libraries, frameworks, and tools and make product design decisions.
- Translate R&D and project results into reusable libraries, tooling, and products.
- Drive reliable deployment decisions with customers and measurable outcomes.
- Apply and improve engineering best practices and coach colleagues in their adoption.
- Travel to customer sites internationally to collaborate on building solutions on-site.
Requirements
- At least 2 years of industry experience in a data-driven role, including commercial non-research experience post-Master's or PhD.
- Experience applying machine learning methods, including 3D graph and point-cloud deep learning, to real-world engineering applications.
- Experience with ML, computational statistics, or modeling use cases in industrial settings is encouraged.
- Track record of scoping and delivering projects in a customer-facing role.
- Experience building machine learning models and pipelines in Python using common libraries and frameworks such as TensorFlow and MLflow.
- Experience with distributed computing frameworks such as Spark and Dask.
- Experience with cloud platforms such as AWS, Azure, and GCP, plus high-performance computing.
- Experience with containerization and orchestration using Docker and Kubernetes.
- Exposure to software engineering concepts and practices including versioning, testing, CI/CD, API design, and MLOps.
- Background in physics, engineering, or an equivalent field.
- Strong problem-solving, analytical, collaboration, and communication skills.
Benefits
- Remote-based in the San Francisco area with hybrid offices in London, New York, and Singapore.
- Travel to customer sites in North America, Europe, Asia, Oceania for an average of 3–4 weeks per quarter.
- Equity options.
- 5% 401(k) contribution.
- Private health insurance.
- Enhanced parental leave, including 3 months full-pay paternity leave and 6 months full-pay maternity leave.
- 20 days of annual leave plus public holidays.
- Personal development support.
- Subsidized Gympass/Wellhub for the employee and up to three family members.
- Flexible Spending Account (FSA).
Tech Stack
Categories
Data EngineeringML Engineering
About PhysicsX
PhysicsX is a physical AI company on a mission to accelerate innovation and overhaul what engineering and manufacturing look like today. We are building a new software stack to deliver deep AI enablement across the entire engineering lifecycle. PhysicsX partners with leading organizations in aerospace & defense, automotive, semiconductors, materials, and energy, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London and New York. We are currently recruiting for multiple positions, however, please only apply for the role that best aligns with your skillset and career goals.