5 months ago
Base Salary
$150k - $190k/yr
Responsibilities
- Collaborate with simulation engineers, data scientists, and customers to understand physics and engineering challenges.
- Design, build, and test reliable, scalable, and deployable machine learning data pipelines.
- Explore and manipulate 3D point-cloud and mesh data.
- Own the delivery of technical workstreams.
- 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.
- Apply and improve engineering best practices and coach colleagues in their adoption.
- Work with customers to drive reliable deployment and measurable outcomes.
Requirements
- At least 2 years of industry experience in a data-driven role, including at least 2 years post-Masters or PhD in a commercial, non-research environment.
- Experience applying machine learning, 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 customer-facing roles.
- Experience with software engineering concepts and practices such as versioning, testing, CI/CD, API design, and MLOps.
- 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, or GCP and high-performance computing.
- Experience with containerization and orchestration using Docker and Kubernetes.
- Background in Physics, Engineering, or equivalent.
- Strong problem-solving, analytical, collaboration, and communication skills.
- US citizenship is required due to aerospace and defense work.
Benefits
- Hybrid work model combining time in the New York office with work-from-home days.
- Average travel to customer sites of 3–4 weeks per quarter across North America, Europe, Asia, and Oceania.
- Equity options.
- 5% 401(k) contribution.
- Free team lunch once per week.
- Private health insurance.
- Enhanced parental leave, including 3 months fully paid paternity leave and 6 months fully paid 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 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.