Senior Staff Machine Learning Engineer - Recommendation Systems
Harnham - New York
Work at Harnham
Overview
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Overview
This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$600,000.00/yr - $800,000.00/yr
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Building AI/ML & Data/Software Engineering Teams Across The US
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.
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.
Recommendation System, Ad-Tech
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
AdvertisingIndustries
Software Development
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