HHiring Reality
← Kikoff

Staff Machine Learning Engineer

Kikoff
Location
San Francisco
Posted
16 days ago
Department
Engineering
What they actually want (must-haves)
  • 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
What the job really is

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.

Things to weigh
  • 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
Job score3/5
Benefits1/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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