Work closely with simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solving
Design, build and test data pipelines for machine learning that are reliable, scalable and easily deployable
Explore and manipulate 3D point cloud & mesh data
Own the delivery of technical workstreams
Create analytics environments and resources in the cloud or on premise, spanning data engineering and science
Identify the best libraries, frameworks and tools for a given task, make product design decisions to set us up for success
Work at the intersection of data science and software engineering to translate the results of our R&D and projects into re-usable libraries, tooling and products
Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption

2+ years’ experience in a data-driven role, with exposure to software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps)
Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow)
Distributed computing frameworks (e.g., Spark, Dask)
Cloud platforms (e.g., AWS, Azure, GCP) and HP computing
Containerization and orchestration (Docker, Kubernetes)
Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly
Excellent collaboration and communication skills - with teams and customers alike
A background in Physics, Engineering, or equivalent
Experience applying Machine learning methods (including 3D graph/point cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable impact in industry settings
A track record of scoping and delivering projects in a customer facing role

Experience in ML/Computational statistics/Modelling use-cases in industrial settings (for example supply chain optimisation or manufacturing processes)

Equity options
5% contribution to 401(k)
Free team lunch 1x/week
Private health insurance – comprehensive cover for you, offering total peace of mind
Enhanced parental leave – 3 months full pay paternity and 6 months full pay maternity leave
20 days of Annual Leave (+ Public Holidays)
Personal development – dedicated support for learning, development, and leveling up over time
Gympass / Wellhub (subsidized) – for you and up to 3 family members
Flexible Spending Account (FSA)
Hybrid work model blending time in New York office with work-from-home days

Hybrid — New York

Opportunity to travel to customer sites in North America, Europe, Asia, Oceania for an average of 3-4 weeks per quarter
Position is open to US citizens only due to aerospace and defense work
Help shape an AI-native engineering company at a formative stage
Work with a high-caliber, collaborative team of engineers, scientists, and operators
Flat structure: good ideas win - wherever they come from
Questioning assumptions and challenging the status quo is expected
Sustainable pace, long-term ambition: hybrid model supports work-life balance

PhysicsX is hiring a Machine Learning Engineer