zaimler

zaimler

Founding AI/ML Engineer ($200-250K + Equity) at Generalcatalyst.com

San Francisco, CA

Sponsorship not specified$200k-$250kDetected 184 days ago
AlgorithmsMachine LearningNLPLLMsMLOpsResearch

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 — 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

$12,493 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

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

  • You will bridge research and production, transforming novel black-box optimization algorithms into scalable ML systems.
  • Work directly with a world-class founding team including a Princeton Professor who co-created GPT at OpenAI and holds 78K+ citations.
  • Define a brand-new category of AI technology, GEO, which has already demonstrated 40% visibility improvements on commercial generative engines.

Responsibilities

  • Design and build end-to-end ML pipelines including data processing, model training, and production-grade deployment.
  • Own the core ML infrastructure and collaborate on algorithm iteration to outpace the evolution of dynamic AI search engines.
  • Exhibits research fluency to engage with PhD founders while maintaining a builder mentality to ship fast and own problems end-to-end.
  • Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.

Requirements

  • The ideal candidate:

Compensation

  • Salary: $200-250K + Equity

Benefits

  • $200-250K + Equity
  • Secure a founding-level equity stake in a company backed by top-tier Silicon Valley venture firms and well-capitalized for rapid scale.
  • I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career.

Company info

  • Generalcatalyst.com http://Generalcatalyst.com - AI startup pioneered by Princeton researchers and a GPT co-creator.
  • Translate cutting-edge black-box optimization research into robust, high-performance systems that serve enterprise customers at scale.
  • This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.

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