Ladders
Director, Machine Learning
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
United States
Work mode:
Remote
Published on:
18 September 2026
What they need
For our client, we are seeking a Director, Machine Learning to join the team of a leader in the Enterprise Technology space.
This leader will shape the machine learning strategy for identity resolution, fraud detection, and consumer intelligence across a globally distributed organization. The role will drive model performance, operational rigor, and scalable infrastructure that support fast-moving, data-driven decisions. This person will also partner closely with cross-functional teams to translate retailer needs into effective machine learning solutions and evaluate when to build capabilities internally or leverage external data partnerships.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $240,000 – $270,000 annually
Responsibilities
- Own the machine learning charter for identity resolution, fraud detection, and consumer intelligence
- Build and develop a high-performing globally distributed machine learning team
- Set standards for model development, evaluation, and monitoring
- Improve identity resolution accuracy and model performance metrics
- Create machine learning infrastructure to support rapid model deployment
- Collaborate with cross-functional teams to connect retailer challenges to machine learning solutions
- Decide on build-vs-buy strategies for third-party data partnerships
Qualifications
- 12+ years in engineering with 5+ years managing machine learning or data teams
- Experience with machine learning systems making significant automated decisions in production
- Deep knowledge of identity resolution, fraud detection, risk scoring, or anomaly detection
- Familiarity with the unique challenges in machine learning and model evaluation
- Proficiency in Python and a modern data stack including GCP
Benefits
- Fully remote work environment
- Opportunity for significant impact on a growing machine learning team
- Startup-level ownership over important data-driven projects
- Access to a large and rich dataset for challenging problems
- Supportive team culture valuing trust and responsibility
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
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