Harnham
Principal Machine Learning Engineer - Recommendation / Relevancy
Location:
New York (Hybrid - 4 days onsite)
Compensation:
Total package between
$600,000 - $1,500,000
(Base salary: $360,000-$400,000 + 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 Deep & Cross Network v2, Multi-gate Mixture-of-Experts, Deep & Wide 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.
Location:
New York (Hybrid - 4 days onsite)
Compensation:
Total package between
$600,000 - $1,500,000
(Base salary: $360,000-$400,000 + 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 Deep & Cross Network v2, Multi-gate Mixture-of-Experts, Deep & Wide 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.