PhysicsX
Machine Learning Engineer
San Francisco, CA · Mid
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$15,131 more — $165,131 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $165,131 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area.
- Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products.
- We have hybrid offices in London, New York, and Singapore; this role is hybrid based in the San Francisco area.
Responsibilities
- 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
- 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)
- 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!
- Build what actually matters
Compensation
- $150,000 - $190,000 depending on experience
Benefits
- 🚀 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.
Company info
- 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.
- 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.
- 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.
Equal opportunity
- 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.
Visa & Work Authorization
- To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics
This listing is sourced directly from PhysicsX's careers page and normalized into a canonical job model.