Machine Learning Engineer

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

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

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!

physicsx.ai/newsroom/how-delivery-makes-physical-ai-work-in-the-real-world

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 employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

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.

What you bring to the table

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

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.

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…