Principal Machine Learning Engineer (L5/L6/L7)

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New York / $600000 - $15000000 annum

INFO

Salary
SALARY:

$600000 - $15000000

Location

LOCATION

New York

Job Type
JOB TYPE

Permanent

Principal Machine Learning Engineer - Recommendation & Relevancy

Location: New York (Hybrid - 4 days onsite)

Compensation: $600,000 - $1,500,000 total package

(Base Salary: $360,000-$400,000 + Equity + Exceptional Benefits)

THE COMPANY

Join a hyper-growth global e-commerce innovator that's reshaping how businesses deliver real-time, personalized experiences at the point of purchase. Leveraging cutting-edge AI and ML at massive scale, this organization is building the future of intelligent commerce-and you could be a key part of it.

With explosive growth, a high-caliber team, and a tech-first culture, this is a unique opportunity to drive meaningful impact in a fast-paced, data-driven environment.

THE ROLE

As a Principal Machine Learning Engineer, you'll drive the design and deployment of large-scale, intelligent decision-making systems. From personalized recommendations to smart bidding and real-time optimization, your work will directly influence millions of transactions and customer experiences daily.

You'll collaborate closely with product and engineering partners to build ML solutions that are both cutting-edge and production-ready.

Key Focus Areas:

  • Smart bidding and budget pacing algorithms
  • Real-time recommendation engines
  • Lookalike modeling and customer targeting
  • CTR/CVR modeling and conversion optimization

Responsibilities:

  • Architect and deploy end-to-end ML solutions at scale
  • Develop robust data pipelines, feature stores, and orchestration frameworks
  • Build high-performance, production-grade ML models (batch & real-time)
  • Lead experimentation (offline & online), including A/B testing and model tuning
  • Drive engineering excellence with well-tested, maintainable, scalable code
  • Mentor team members and contribute to a culture of technical growth

YOUR SKILLS & EXPERIENCE

  • PhD or Master's degree in Machine Learning, Computer Science, or a related field
  • 10+ years of hands-on experience building production ML systems at scale
  • Expertise in AWS, TensorFlow, Feature Store technologies, and orchestration tools (e.g., Kubeflow, Airflow)
  • Deep knowledge of at least two of the following:
  • Bayesian methods
  • Recommender systems
  • Multi-task or meta-learning
  • CTR/CVR prediction models

Bonus: Experience with advanced model architectures like Deep & Cross Network v2, Multi-gate Mixture-of-Experts, or Deep & Wide Networks.

BENEFITS

  • Significant equity in a high-growth tech company
  • Premium, fully covered health insurance (you + family)
  • 401(k) with 4% dollar-for-dollar match
  • Catered lunches and daily snacks
  • Global travel opportunities
  • Inclusive, collaborative culture with a strong focus on innovation, diversity, and impact

✅ HOW TO APPLY

Ready to solve real-world problems at scale and push the boundaries of applied machine learning? Apply now to speak with one of our specialist recruiters and learn more about this high-impact opportunity.

CONTACT

Luc Simpson-Kent

Senior recruitment Consultant

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