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PhysicsX

Join Our Talent Community

PhysicsX is hiring a Join Our Talent Community in London, United Kingdom. Level rates it ; you can apply on PhysicsX.

Level's read on this job

  • Builds AI ●●●● is how Level rates this role: the job is building AI systems.
  • The posting mentions visa sponsorship.
  • The posting mentions physics AI, simulation and machine learning among its tools and skills.
  • PhysicsX has 39 other open roles on Level.

AI in this role

Talent community pool for PhysicsX focusing on physics AI and simulation software stack roles.

physics-aisimulationmachine-learningdata-science

About us

Re-architecting Engineering for the Age of Intelligence

PhysicsX is the physics AI company for industrials. The company’s mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area.

Don't see the right role today? We'd still love to hear from you, if you're interested in joining our London, US or Singapore offices.

PhysicsX is growing quickly, and new roles open up regularly across Research, Data Science, Machine Learning Engineering, Product, and Delivery. If nothing currently posted feels like the right fit, but you're excited about what we're building - physics AI that solves the world's most complex engineering challenges - this is a great place to start.

By applying here, you're letting us know you're interested in PhysicsX, so we can reach out directly when a relevant opportunity opens up.

What happens next:

We'll review your application and keep you in mind for any positions that match your background and interests as they arise, and reach out if a suitable opportunity comes up. This isn't an active vacancy, so please note there may not be an immediate opportunity to progress, but we genuinely do use this pool when hiring.

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.

How we rate this

Join Our Talent Community at PhysicsX rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Physics AISimulationMachine learningData Science

Questions you could be asked

  1. Tell me about a project where physics ai was part of your work. What did you do?
  2. Tell me about a project where simulation was part of your work. What did you do?
  3. Tell me about a project where machine learning was part of your work. What did you do?
  4. Tell me about a project where data science was part of your work. What did you do?
  5. How would you decide a model or AI system is ready to ship?

Adapt your resume

  • List these exact terms on your resume: Physics AI, Simulation, Machine learning, and Data Science. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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