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Alloy

Senior Machine Learning Engineer

Alloy · New York City

Posted about 2 months ago

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

Is this posting real?

This role has been open
51 days
Alloy's roles stay open a median of 52 days
Reposted
No
Salary listed
No
93% of Alloy's roles list one
Ghost-job risk at Alloy
high
17 stale, 1 reposted of 28 open
Hiring momentum
33 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-24

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

About this role

As a Senior Machine Learning Engineer at Alloy, you will contribute to the design, training, and evaluation of machine learning models focused on fraud detection. Your role involves developing testing plans, supporting production ML workflows, and communicating insights to internal teams. You will also maintain model documentation and stay updated on industry trends to enhance Alloy's mission of safer financial services.

Our read on this posting2.8out of 5
benefits
5/5
freshness
1/5
career value
4/5
role clarity
4/5
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 Alloy as an employer.

What you need

  • 8+ years as an individual contributor in Applied Fraud Research, Data Science, or Machine Learning
  • Expertise in working with highly imbalanced datasets and building production-grade Machine Learning models, particularly tree-based models
  • Advanced proficiency in scripting languages like Python and querying languages like SQL
  • Proven ability to wrangle and think thoughtfully about data at scale
  • Experience developing metrics and dashboards
  • Ability to communicate findings effectively to technical and non-technical members

Nice to have

  • Previous experience in financial fraud detection
  • Advanced Degree (Masters or PhD) in a quantitative field
  • Experience managing the end-to-end lifecycle of a technical pilot or Proof of Concept
  • Experience with BI tools like Looker
  • Experience with modeling on graph structures

What you get

  • Unlimited PTO and flexible work policy
  • Employee stock options
  • Medical, dental, vision plans with HSA and FSA options
  • 401k with 100% match up to 4% of annual employee compensation
  • Eligible new parents receive 16 weeks of paid parental leave
  • Home office stipend for new employees

Worth weighing

  • No specific mention of the tech stack used beyond ML models
  • Role requires strong communication skills for both technical and non-technical audiences
  • Hybrid work model may not suit everyone

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

Listed by Alloy on their greenhouse job board, last confirmed open on 2026-09-24. PitchMeAI is not the employer.

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