Hume AI

Hume AI

Senior/Staff AI Research Engineer

NYC, San Jose, or Remote · Staff+

Sponsorship not specified$180k-$350kDetected 280 days ago
PythonMachine LearningPyTorchNLPResearch

Stay score

odds of building a lasting career here

56Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role72
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.

Personalize to your clock →

H-1B wage level

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

Level II · 2×
Level I$141,3361 entry
Level II$178,7552 entries
Level III$216,1953 entries
Level IV$253,6144 entries

$36,195 more — $216,195 — 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 $216,195 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 "Computer and Information Research Scientists" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Computer and Information Research Scientists (15-1221) · San Jose-Sunnyvale-Santa Clara, 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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About the role

  • You will be working to solve some of today's most exciting AI research problems at industry scale.

Responsibilities

  • Hume AI is seeking talented researchers and engineers interested in working with our AI research team to build state-of-the-art speech-language models (SLMs).
  • In this role, you will build out software systems that support distributed model training, inference, and benchmarking as well as massive-scale data collection, storage, preprocessing, and analysis.

Requirements

  • Expertise in the Python ecosystem and popular ML libraries and tools (e.g. PyTorch)
  • Experience writing robust and maintainable production-ready code
  • Comfort iterating quickly on new and uncertain research directions
  • 2+ years of experience training and/or fine-tuning transformer models with large-scale datasets of text, audio, image, and/or video data

Compensation

  • $180,000 - $350,000 USD

Company info

  • Hume AI is a Series B startup dedicated to building artificial intelligence that is directly optimized for human well-being. As the first company to release speech language models, we're focused on expanding our research to encompass audio understanding models and evaluation platforms for enterprises.
  • Our goal is to enable a future in which technology draws on an understanding of human emotional expression to better serve human goals. As part of our mission, we also conduct groundbreaking scientific research, publish in leading scientific journals like Nature, and support a non-profit, The Hume Initiative, that has released the first concrete ethical guidelines for empathic AI ( www.thehumeinitiative.org ). You can learn more about us on our website ( https://hume.ai/ ) and read about us in WIRED, Forbes, and Venturebeat.
  • Hume AI is a Series B startup dedicated to building artificial intelligence that is directly optimized for human well-being.
  • As the first company to release speech language models, we're focused on expanding our research to encompass audio understanding models and evaluation platforms for enterprises.
  • Our goal is to enable a future in which technology draws on an understanding of human emotional expression to better serve human goals.
  • As part of our mission, we also conduct groundbreaking scientific research, publish in leading scientific journals like Nature, and support a non-profit, The Hume Initiative, that has released the first concrete ethical guidelines for empathic AI ( www.thehumeinitiative.org ).
  • You can learn more about us on our website ( https://hume.ai/ ) and read about us in WIRED, Forbes, and Venturebeat.

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