ML Engineer — Physics AI, End-to-End ML, Onsite SF

UniversalAGI, Inc.; San Francisco (CA); In loco; USD 180.000 - 260.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive compensation

Equity

In-person first culture

Immigration support

Descrizione del lavoro

UniversalAGI, Inc. in San Francisco is seeking an ML Engineer to own the execution layer, building data preprocessing/generation pipelines, running end-to-end training workflows, and delivering reproducible results.

You will collaborate with PhD researchers to productionize model architectures, design evaluation suites, and communicate outcomes. This in-person role emphasizes hands-on execution and impact on cutting-edge physics AI.

Competenze

• Strong software engineering practices (clean code, debugging, reliability, reproducibility).
• Solid ML foundations across data → training/fine-tuning → evaluation/benchmarking.
• Experience training or fine-tuning models (LLMs, CV, physics, surrogates).

Mansioni

• Build and maintain data preprocessing and data generation pipelines.
• Run training and fine-tuning workflows end-to-end and iterate on performance.
• Design and execute benchmarking/evaluation suites.
• Collaborate with PhD researchers to productionize model architectures.
• Communicate results clearly with metrics and dashboards.

Conoscenze

Strong software engineering

ML lifecycle

Training/fine-tuning

Benchmarking

Collaboration with researchers

Strumenti

Python

PyTorch

Distributed compute

Descrizione del lavoro

UniversalAGI, Inc. in San Francisco is seeking an ML Engineer to own the execution layer, building data preprocessing/generation pipelines, running end-to-end training workflows, and delivering reproducible results.

You will collaborate with PhD researchers to productionize model architectures, design evaluation suites, and communicate outcomes. This in-person role emphasizes hands-on execution and impact on cutting-edge physics AI.