Senior Staff Machine Learning Engineer – Recommendation Systems

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/ $600000 - $800000 annum

INFO

Salary
SALARY:

$600000 - $800000

Location

LOCATION

Job Type
JOB TYPE

Permanent

Senior Staff Machine Learning Engineer - Recommendation Systems

Location: New York (Hybrid - 4 days onsite)

Compensation: Total package between $600,000 - $800,000

(Base salary: $315,000-$370,000 + Equity + Exceptional Benefits)

THE COMPANY

This hyper-growth, global e-commerce leader is transforming how businesses deliver personalized and relevant experiences at the point of purchase. With a strong focus on cutting-edge AI/ML technologies, this organization is scaling rapidly and looking to expand their world-class engineering team.

THE ROLE

As a Principal Machine Learning Engineer, you'll play a critical role in shaping the next generation of intelligent decision-making systems. You'll partner with product and engineering teams to build and productionize ML solutions that drive relevance and performance in real-time, at scale. Key focus areas include smart bidding, lookalike modeling, budget pacing, and personalized recommendations.

Key Responsibilities:

  • Collaborate with cross-functional teams to define, architect, and deploy ML solutions to complex business problems.
  • Design and build production-ready ML models, data processing pipelines, and robust deployment systems.
  • Contribute to scalable codebases, with a strong emphasis on testing (unit, integration, performance).
  • Explore and prototype state-of-the-art models, conducting both offline and online experiments.
  • Share knowledge through tech talks, internal workshops, and mentorship.

YOUR SKILLS & EXPERIENCE

  • PhD or Master's in Machine Learning or a related field
  • 10+ years of industry experience building end-to-end production ML systems
  • Strong background in AWS, TensorFlow, Feature Store technologies, and orchestration tools (e.g., Kubeflow)
  • Expertise in at least two of the following: Bayesian methods, recommender systems, multi-task learning, meta-learning, CTR or CVR modeling
  • Bonus: Familiarity with architectures such as DCNv2, MMOE, Deep & Wide, or ESMM

BENEFITS

  • Equity in a high-growth business
  • Premium, fully covered health insurance for you and your family
  • 401(k) with 4% dollar-for-dollar match
  • Catered lunch and snacks daily
  • Global travel opportunities
  • Collaborative, inclusive culture with a strong focus on diversity and innovation

HOW TO APPLY

If you're a senior-level ML engineer looking to make a real-world impact in a high-scale, high-growth environment, apply now to speak with one of our specialist recruiters.

CONTACT

Luc Simpson-Kent

Senior recruitment Consultant

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