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Kikoff

Staff Machine Learning Engineer

Kikoff · San Francisco

Posted about 2 months ago

or apply directly on Kikoff's site. We never take the application ourselves.

Is this posting real?

This role has been open
49 days
Kikoff's roles stay open a median of 69 days
Reposted
No
Salary listed
No
9% of Kikoff's roles list one
Ghost-job risk at Kikoff
high
37 stale, 0 reposted of 54 open
Hiring momentum
73 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-24

Measured from postings appearing on and disappearing from Kikoff's own greenhouse board since 2026-08-03. Full hiring picture for Kikoff.

About this role

As a Staff Machine Learning Engineer at Kikoff, you will set the technical direction for machine learning initiatives that are central to the company's operations, including underwriting and risk models. Your role involves owning the ML platform, leading model development, and ensuring compliance with governance standards. You will also mentor other engineers and collaborate with cross-functional teams to translate business goals into technical solutions.

Our read on this posting3.0out of 5
benefits
1/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Kikoff as an employer.

What you need

  • 8+ years of software or machine learning engineering experience
  • 5+ years building, deploying, and operating ML systems in production
  • Demonstrated ownership of ML systems with direct, measurable business impact at scale
  • Expert-level Python skills
  • Deep experience with the full ML lifecycle in production
  • Hands-on experience designing ML platform components

Nice to have

  • Experience in consumer lending, credit underwriting, fraud, or payments
  • Working knowledge of deep learning frameworks (e.g., PyTorch)
  • Experience working alongside Ruby/Rails backends
  • Experience working with Risk or Compliance partners on model approval processes
  • Advanced degree preferred

Worth weighing

  • No salary listed in the posting, but a base range is provided
  • Role focuses on technical leadership rather than management track
  • Fast-scaling startup environment may involve ambiguity and rapid change

Summarised from Kikoff's posting. Read the full original.

Listed by Kikoff on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.

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