PhysicsX

Senior Machine Learning Engineer

New York, United States · Senior

H1B sponsorship available$200k-$250kDetected 57 days ago

PythonFastAPIRESTMachine LearningDeep LearningPyTorchPandasData EngineeringData ScienceForecastingExcelFEACFDResearch

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odds of building a lasting career here

59Sponsors, lottery-bound

Cap-exempt (no lottery)0

Sponsors this role80

Entry-level history0

PERM / green-card track0

Lottery odds (Level IV)94

Fits your clock70

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.

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H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level IV · 4×

Level I$109,8451 entry

Level II$137,7172 entries

Level III$165,5893 entries

Level IV$193,4614 entries

This range already reaches Level IV — the maximum four lottery entries.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

3 transfer filings in the last year, covering 3 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

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.
Note: This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR).

Responsibilities

Build what actually matters
Building meaningful technology is a marathon, not a sprint.

Compensation

$200,000 - $250,000 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.

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
Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time‑series forecasting, anomaly detection, optimization & control) to customer production environments.
Communicate results and trade‑offs to senior stakeholders; steer roadmaps and influence product direction with evidence.
Lead scoping and architecture design for data/ML systems; define success metrics, delivery plans and quality bars.
Excel at building robust and scalable ML systems, training and inference pipelines and APIs, running both on cloud and on-prem environments.
Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision‑making under pressure.
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.
Own the scoping of new projects and work-streams with existing customers and taking part in bringing new customers to PhysicsX.
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.
As a Senior Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact.
You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, 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 and make pragmatic product decisions that set Delivery up for success.
With at least 3 years industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others.
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.
Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license.
As a Senior MLE, 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.
Excel at building robust and scalable ML systems, training and inference pipelines and APIs, running both on cloud and on-prem environments. The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others.
As a senior member of the team, you'll significantly influence our technical direction and will be involved in shaping future solutions and products, while developing your skills as a technical leader.
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!

Equal opportunity

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Visa & Work Authorization

Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license.

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This listing is sourced directly from PhysicsX's careers page and normalized into a canonical job model.