Machine Learning Engineer

PhysicsX; United States; Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Equity options

401(k) contribution

Private health insurance

Extended parental leave

20 days annual leave

Gym/Wellbeing subsidies

Flexible Spending Account

Job summary

PhysicsX Ltd. is hiring a Machine Learning Engineer for our Delivery team. You will collaborate with Data Scientists, Simulation Engineers and customers to embed AI models into practical tools.

You will design scalable ML data pipelines, handle 3D point cloud data, and drive end‑to‑end delivery of technical workstreams. You’ll travel to customer sites across NA, Europe, and Asia, averaging 3–4 weeks per quarter, and work in a hybrid setup with offices in multiple global hubs.

Qualifications

• Experience applying ML methods to real‑world engineering applications with measurable impact.
• Experience in ML/Statistics/Modelling in industrial settings is encouraged.
• A track record of scoping and delivering customer‑facing projects.
• 2+ years in a data‑driven role with software engineering concepts.

Responsibilities

• Collaborate with data scientists, simulation engineers and customers to define challenges.
• Design, build and test ML data pipelines that are reliable and scalable.
• Explore and manipulate 3D point cloud and mesh data for modelling.
• Own delivery of technical workstreams and drive results.
• Create analytics environments in cloud or on premise for data engineering and science.
• Select libraries and tools, and influence product design decisions.
• Translate R&D outputs into reusable libraries, tooling and products.
• Apply engineering best practices and coach colleagues in their adoption.

Skills

ML engineering

3D point cloud

Python

Docker

Kubernetes

Cloud platforms

Tools

TensorFlow

MLFlow

Spark

Dask

AWS

Azure

GCP

Job description

About us

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.

We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.

Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals.

Who We’re Looking For

As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, and excel at working directly with customers (and often side‑by‑side with them on-site) to embed cutting‑edge AI models into tools that are useful and used.

You’ve shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point‑cloud and mesh data to enable geometry‑aware modelling; you select the right libraries, frameworks and tools. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products.

With at least 2 years industry experience (post Masters or PhD) in a commercial, non‑research environment. You’re truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.

We have hybrid offices in London, New York, and Singapore; this role is hybrid based in the San Francisco area.

This Role

As a Machine Learning Engineer, you’ll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes.

What you will do

• Work closely with our 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 reusable libraries, tooling and products
• Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption

You’ll also have the opportunity to travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you’ll collaborate closely with customers to build solutions on‑site.

What you bring to the table

• 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.
• Experience in ML/Computational statistics/Modelling use‑cases in industrial settings (for example supply chain optimisation or manufacturing processes) is encouraged.
• A track record of scoping and delivering projects in a customer facing role
• 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

Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey!

What we offer

Build what actually matters

Help shape an AI‑native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real‑world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high‑caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

And it doesn’t stop there …

Equity options - share meaningfully in the company you’re helping to build.

5% contribution to 401(k)- build long‑term security with a strong retirement plan.

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, to provide extra flexibility during the moments that matter most.

20 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

Personal development - dedicated support for learning, development, and leveling up over time.

Gympass / Wellhub (subsidized) - for you and up to 3 family members, supporting both physical and mental wellbeing.

Flexible Spending Account (FSA) - set aside pre‑tax dollars for eligible healthcare expenses.

Watch this space, we’re continuing to build this as we grow…

Salary range:

$150,000 - $190,000 depending on experience
Seniority will be assessed throughout our interview process

We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.

We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.