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ML Engineer

UniversalAGI· Technical Staff
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San FranciscoFull-timePosted 2w ago

About the role

ML Engineer role focused on owning the execution layer for ML workflows in physics-guided AI, including data preprocessing/generation, training/fine-tuning, benchmarking, and producing production-grade results.

Responsibilities

  • Build and maintain data preprocessing and data generation pipelines to support model training and evaluation.
  • Run training and fine-tuning workflows end-to-end and iterate quickly on performance improvements.
  • Design and execute benchmarking/evaluation suites to measure progress and customer outcomes.
  • Collaborate with PhD expert researchers to operationalize model architectures into repeatable, production-grade workflows.
  • Communicate results clearly (metrics, dashboards, short writeups) and maintain high-quality, reproducible work.

Qualifications

  • Strong software engineering skills (clean code, debugging, reliability, reproducibility).
  • Solid ML foundations and hands-on experience with the ML lifecycle: data → training/fine-tuning → evaluation/benchmarking.
  • - Prior experience training or fine-tuning models (any modality/type - LLMs, computer vision, physics, surrogate models, etc.)
  • Olympic athlete mindset: high standards for measurable improvement.
  • Resourcefulness: ability to choose quick & correct vs robust solutions with impact justification.
  • Ownership: comfortable owning work end-to-end and being accountable for measurable outcomes.

Skills

Required:Software engineeringML lifecycleModel training / fine-tuningCommunicationOwnership / accountability

Benefits

  • Competitive compensation and equity.
  • Competitive health, dental, vision benefits paid by the company.
  • 401(k) plan offering.
  • Flexible vacation.
  • Team Building & Fun Activities.
  • Great scope, ownership and impact.
  • AI tools stipend.
  • Monthly commute stipend.
  • Monthly wellness / fitness stipend.
  • Daily office lunch & dinner covered by the company.
  • Immigration support.
Last updated Oct 7, 2026. Interested? Apply on the company site.
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About UniversalAGI

Foundation models for automating physical systems engineering

The platform for engineering teams building and operating Physics AI at scale. Predict aerodynamic performance, structural loads, and thermal behavior in seconds.

PlatformAI simulationUncertainty QuantificationLIFT Volume TokenizationCalibrated UncertaintySUV-PTAerospaceDefense
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