Edison Scientific

Edison Scientific

Senior/Principal AI Research Scientist

San Francisco, CA · Principal

Sponsorship not specified$210k-$350kDetected 227 days ago
Distributed SystemsAlgorithmsMachine LearningPyTorchLLMsAgentic AIA/B TestingResearch

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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.

Personalize to your clock →

H-1B wage level

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

Level III · 3×
Level I$100,4221 entry
Level II$137,7792 entries
Level III$175,1363 entries
Level IV$212,4934 entries

$2,493 more — $212,493 — moves this role to Level IV and 4 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 $212,493 would place this position at wage Level IV. 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 Francisco-Oakland-Fremont, CA. 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

4 transfer filings in the last year, covering 4 workers. Median labor-condition decision: 7 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

  • Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that.
  • Your role will encompass both cutting-edge research and applied methods, bringing your work to bear on scientific challenges in laboratories and scientists around the world.
  • This role is on-site at our San Francisco office in the Dogpatch neighborhood.

Responsibilities

  • Interpret challenges in building AI agents for science as well-formulated statistical problems
  • Own research projects end-to-end, from working with scientists to scope the problem all the way to working with engineers to deploy the outcomes
  • Develop and extend our experimentation platform for internal tools and projects.
  • Collaborate closely with a multidisciplinary team of AI researchers, engineers, biologists, and chemists, fostering an environment of innovation and discovery.
  • Edison Scientific builds and commercializes AI agents for science.
  • We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist.
  • As an Senior/ Principal AI Research Scientist at Edison Scientific, you play a central role in developing the models and algorithms that accelerate scientific research.
  • Our office is a converted warehouse with high ceilings, open space, and a team excited about what we're building.

Requirements

  • Experience with large-scale training and experimentation technologies (e.g. Ray, verl, Megatron-LM, etc.)
  • Experience working with data and ML systems: EDA, feature engineering, model development, model deployment, and validation in production systems.
  • Familiarity with modeling in PyTorch, Jax or equivalent framework.
  • Demonstrated experience with experimentation in academic or industry settings.
  • Strong programming expertise with the capability to adapt to various technical challenges in the data, ML, and LLM software stack.
  • Familiarity with leveraging and managing distributed systems
  • 6-10+ years of strong track record of ML research on real-world problems in (but not limited to) reinforcement learning, representation learning, and Bayesian methods
  • Fluency in PyTorch, Jax, or equivalent framework
  • Bonus points for:
  • PhD in Machine Learning, Computer Science, or other quantitative field
  • $210,000 - $350,000
  • Offers equity
  • Why join us?
  • Competitive salary and equity

Compensation

  • $210,000 - $350,000 • Offers equity
  • Competitive salary and equity
  • Full healthcare coverage - we pay 100% of premiums for you and your dependents

Benefits

  • Full healthcare coverage - we pay 100% of premiums for you and your dependents
  • Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
  • $300 health and wellness benefit

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