GoFundMe

GoFundMe

Manager, Machine Learning Engineering

San Francisco, CA · Senior · Full-time

Sponsorship not specified$219k-$329kDetected 55 days ago
PythonBackend DevelopmentCode ReviewGitSQLSnowflakeDatabricksAWSDockerKubernetesTerraformCI/CDAPI DevelopmentMachine LearningTensorFlowPyTorchscikit-learnSparkData EngineeringData ScienceLLMsMLOpsStatisticsIncident Response

Stay score

odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
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$167,5651 entry
Level II$208,1042 entries
Level III$248,6433 entries
Level IV$289,1824 entries

$29,643 more — $248,643 — 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 $248,643 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 Systems Managers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Computer and Information Systems Managers (11-3021) · 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

9 transfer filings in the last year, covering 9 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

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

About the role

  • Join GoFundMe as our next Manager, Machine Learning Engineering (ML and AI Operations).
  • Candidates considered for this role will be located in the San Francisco Bay Area.
  • There will be an in-office requirement of 3x a week.

Responsibilities

  • We're proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change.
  • Holistic Support:

Requirements

  • By submitting your application, you are agreeing to our use and processing of your data as required.

Nice to have

  • Establish ML operational excellence org-wide by driving standards for model observability (latency, errors, drift, calibration, business KPI deltas), automated retraining triggers, and incident response playbooks.
  • 1-3+ years of experience directly managing engineers, ideally in an MLOps, ML platform, or infrastructure context, with a track record of hiring and developing strong teams.
  • Proven experience implementing ML monitoring for both technical and business metrics (drift, calibration, segment performance, latency, error budgets) and running models reliably in production.
  • Familiarity with generative AI/LLM infrastructure and operational considerations (latency, cost, safety guardrails) is a strong plus.
  • Strong leadership and mentoring skills and a proven ability to raise the bar on architecture, engineering quality, and operational rigor for production ML/AI systems.
  • Advanced degree (Master's or Ph.D.) in Computer Science, Statistics, Data Science, or a related technical field is preferred.
  • Sense of humor is optional but appreciated.

Compensation

  • You can learn more about GoFundMe.org's activities and impact in their FY '26 annual report.
  • Our annual "Year in Help" report reflects our community's impact in advancing our mission of helping people help each other.
  • The annual U.S. salary range for this full-time position is $219,000 - $329,000.

Benefits

  • Enjoy competitive pay and comprehensive healthcare benefits.
  • Participate in learning, development, and recognition programs to help you thrive and grow.
  • Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
  • The company also offers equity and other benefits to employees, including healthcare, dental, vision, life insurance and 401(k) saving program.
  • Additionally pay may vary depending on other factors including skills, experience, education, or training.
  • Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.

Company info

  • Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here.
  • Our annual "Year in Help" report reflects our community's impact in advancing our mission of helping people help each other.
  • Make a difference through our volunteering program.
  • Be a part of something bigger with us!
  • Community Engagement: Make a difference through our volunteering program.

Equal opportunity

  • equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.
  • If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please fill out this accommodation form.

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