PhysicsX

PhysicsX

Machine Learning Engineer

New York, United States ยท Mid

H1B sponsorship available$150k-$190kDetected 44 days ago
PythonAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDAPI DevelopmentRESTMachine LearningDeep LearningTensorFlowSparkData EngineeringData ScienceMLOpsStatisticsExcelSupply ChainResearchCommunicationCollaborationProblem Solving

Stay score

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 โ€” 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 โ†’

H-1B wage level

the lottery is wage-weighted โ€” each level is one more entry

Level II ยท 2ร—
Level I$109,8451 entry
Level II$137,7172 entries
Level III$165,5893 entries
Level IV$193,4614 entries

$15,589 more โ€” $165,589 โ€” moves this role to Level III and 3 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 $165,589 would place this position at wage Level III. 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 ยท Software Developers (15-1252) ยท 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.

Community outcomes

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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

  • 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
  • Building meaningful technology is a marathon, not a sprint.

Compensation

  • $150,000 - $190,000 depending on experience

Benefits

  • ๐Ÿš€ Equity options - share meaningfully in the company you're helping to build.
  • ๐Ÿ’ฐ 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
  • 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

  • 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.

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