Checkr

Checkr

Machine Learning Engineer

San Francisco, California, USA · Mid · full-time

Sponsorship not specified$168k-$198kDetected 133 days ago
PythonRubyRailsDistributed SystemsObject-Oriented ProgrammingSnowflakeCI/CDMachine LearningdbtData EngineeringNLPLLMsAgentic AIMLOpsResearchCommunication

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 II · 2×
Level I$137,0931 entry
Level II$165,1312 entries
Level III$193,1493 entries
Level IV$221,1874 entries

$25,149 more — $193,149 — 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 $193,149 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 "Software Developers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · 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: 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

No reports yet — be the first to help the next applicant.

About the role

  • Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date.
  • This role sits on the ML team inside Checkr's Data & ML organization within Engineering.

Responsibilities

  • Build and deploy ML/AI services.
  • Design, develop, and ship ML models and AI systems that Product Engineering teams rely on.
  • Design with LLMs and APIs.
  • Use LLM APIs (OpenAI, Anthropic, etc.) as building blocks in production systems.
  • Partner with product and engineering.
  • Build evaluation frameworks, run experiments, and make data-driven decisions about model and system performance.
  • Put AI to work on your own processes: automate pipelines, build agentic workflows, and contribute reusable skills and context to Checkr's agentic platform.
  • Equal Employment Opportunities at Checkr Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences.
  • you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes.

Requirements

  • experience using LLMs, code-generation tools, or agentic systems in production or operational contexts is a strong signal You can evaluate tradeoffs: fine-tune vs. prompt, hosted vs. self-deployed, classical ML vs.

Nice to have

  • For more information on our compensation philosophy, see our website.

Skills

  • Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company.

Compensation

  • $168k-$198k

Company info

  • Customers include Uber, Pennymac, Airbnb, Doordash, Amazon, and Anthropic.
  • We're a team that thrives on solving complex problems with innovative solutions that advance our mission.
  • We are looking for someone based in San Francisco who has built ML systems in fast-moving, impact-first environments.

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