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Machine Learning Engineer

Dale Workforce Solutions

Hybrid in Parsippany-Troy Hills, New Jersey • Today

Easy Apply

Third Party, Contract

Depends on Experience

AI/ML Engineer

PeakLnk Technologies, Inc.

Newark, New Jersey • Today

Easy Apply

Contract

50 - 54

AI/ML Engineer

Oscar Technology

New York, New York • Today

Easy Apply

Contract

$80 - $90 per hour

Machine Learning Engineer

Lyft

New York, New York • Today

Full-time

USD 140,800.00 - 176,000.00 per year

Machine Learning Engineer

Jane Street

New York, New York • Today

Full-time

Machine Learning Engineer

Aston Carter

New York, New York • Today

Full-time

Compensation information provided in the description

Machine Learning Engineer

Pivotal Solutions

New York, New York • Today

Full-time

Machine Learning Engineer II

S&P Global

New York, New York • 30+d ago

Full-time

USD 140,000.00 - 180,000.00 per year

Lead Machine Learning Engineer

Capital One

New York, New York • Today

Full-time

Machine Learning Engineer II

S&P Global

New York, New York • 30+d ago

Full-time

USD 140,000.00 - 180,000.00 per year

Lead Machine Learning Engineer

Capital One

New York, New York • Today

Full-time

USD 179,400.00 - 204,700.00 per year

Senior Machine Learning Engineer

Kargo

New York, New York • Today

Full-time

USD 150,000.00 - 175,000.00 per year

Senior Machine Learning Engineer

CVS Health

New York, New York • Today

Full-time

USD 111,240.00 - 222,480.00 per year

Machine Learning Engineer III

Peloton

New York, New York • Today

Full-time

USD 141,400.00 - 190,700.00 per year

Machine Learning Engineer II

S&P Consultants

New York, New York • Today

Full-time

USD 140,000.00 - 180,000.00 per year

Senior ML Engineer

Alliance Enterprises Inc.

New York, New York • Today

Full-time

Applied Machine Learning Engineer

Fireworks AI

New York, New York • Today

Full-time

USD 170,000.00 - 240,000.00 per year

Staff Machine Learning Engineer

BILL

New York, New York • 2d ago

Full-time

USD 195,000.00 - 233,800.00 per year

Senior Lead Machine Learning Engineer

Capital One

New York, New York • Today

Full-time

Senior Lead Machine Learning Engineer

Capital One

New York, New York • Today

Full-time

USD 209,000.00 - 238,500.00 per year

Sr. Lead Machine Learning Engineer

Capital One

New York, New York • Today

Full-time

Senior Machine Learning Engineer

Attentive

New York, New York • Today

Full-time

USD 244,000.00 - 320,000.00 per year

Lead Machine Learning Engineer

JPMorgan Chase & Co.

New York, New York • Today

Full-time

USD 171,000.00 - 260,000.00 per year

Staff Machine Learning Engineer

Taskrabbit

New York, New York • Today

Full-time

USD 170,000.00 - 225,000.00 per year

Senior Machine Learning Engineer - Artificial Intelligence

Bloomberg L.P.

New York, New York • Today

Full-time

USD 165,000.00 - 260,000.00 per year

Lead AI Applied ML Engineer

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 171,000.00 - 260,000.00 per year

Senior Machine Learning Engineer, Infrastructure

Patreon

New York, New York • Today

Full-time

USD 212,000.00 - 318,000.00 per year

Senior Machine Learning Engineer

Roku

New York, New York • Today

Full-time

USD 229,500.00 - 360,000.00 per year

Sr. Lead Machine Learning Engineer (IC)

Capital One

New York, New York • Today

Full-time

Machine Learning Engineer, Discovery

Whatnot

New York, New York • Today

Full-time

USD 180,000.00 - 245,000.00 per year

Job Details

Skills

TENSORFLOW
AWS
PYTHON
PYTORCH
MARKETING

Summary

Machine Learning Engineer – Recommendation Systems (Consumer Marketing)

We are seeking a skilled Machine Learning Engineer with deep expertise in building and optimizing recommendation systems within the consumer marketing space. The ideal candidate will have hands-on experience designing, implementing, and scaling personalized recommendation and targeting models that drive customer engagement, conversion, and revenue growth. Experience translating consumer behavior and marketing data into actionable, personalized experiences is essential.

Key Responsibilities:

Design and develop machine learning models for recommendation and personalization systems (e.g., collaborative filtering, deep learning, hybrid approaches) tailored to consumer marketing use cases such as product recommendations, next-best-action, and audience targeting.
Optimize models for scalability, performance, and real-time predictions across large-scale consumer datasets.
Collaborate with business leaders, marketing partners, product and engineering teams to integrate models into production and campaign pipelines.
Analyze and improve recommendation quality using metrics like precision, recall, click-through rate, conversion, and customer lifetime value.
Leverage customer segmentation, behavioral, and first-party marketing data to enhance personalization and relevance.
Experiment with cutting-edge techniques (e.g., reinforcement learning, graph neural networks, contextual bandits) to enhance recommendations and marketing outcomes.

Requirements:

5+ years of experience in machine learning, with a focus on recommendation systems, ideally within consumer marketing, retail, e-commerce, or a related consumer-facing domain.
Proven track record building personalization or recommendation models that measurably improved engagement or marketing performance.
Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.
Strong understanding of algorithms like matrix factorization, neural networks, and ranking systems.
Strong understanding of LTMs and agentic AI frameworks that can be customized for recommender systems
Experience working with consumer/marketing data, including behavioral, transactional, and campaign data (familiarity with CDPs, marketing analytics, or A/B testing is a plus).
Experience with Databricks and AWS.
Excellent problem-solving skills and a passion for delivering impactful, customer-centric solutions.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91129433
Position Id: 26-00564
Posted 1 hour ago

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USD 140,800.00 - 176,000.00 per year

Machine Learning Engineer, Next-Generation Recommendation Systems

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The opportunity Unity's Vector AI team builds the machine learning systems that decide which ads reach which players - across billions of monthly users on the world's leading game engine. Recommendation and ranking systems are the core of this work: predicting user value, optimizing bids, and delivering outcomes for advertisers at massive scale. We are building the next generation of these systems. The frontier has shifted - large language models, reinforcement learning from human feedback, and

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Machine Learning Engineer III

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ABOUT THE ROLE The Personalization team at Peloton is looking for a machine learning engineer to drive personalization and recommendations for our highly engaged members across multiple platforms. Your main focus will be to optimize the engagement and discovery of Peloton content through research and application of AI and ML techniques for content and non-content recommendations. You will own the end-to-end lifecycle of our ML products, from data engineering and foundational infrastructure to b

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USD 141,400.00 - 190,700.00 per year

Job Details

Skills

TENSORFLOW
AWS
PYTHON
PYTORCH
MARKETING

Summary

Machine Learning Engineer – Recommendation Systems (Consumer Marketing)

Key Responsibilities:

Design and develop machine learning models for recommendation and personalization systems (e.g., collaborative filtering, deep learning, hybrid approaches) tailored to consumer marketing use cases such as product recommendations, next-best-action, and audience targeting.
Optimize models for scalability, performance, and real-time predictions across large-scale consumer datasets.
Collaborate with business leaders, marketing partners, product and engineering teams to integrate models into production and campaign pipelines.
Analyze and improve recommendation quality using metrics like precision, recall, click-through rate, conversion, and customer lifetime value.
Leverage customer segmentation, behavioral, and first-party marketing data to enhance personalization and relevance.
Experiment with cutting-edge techniques (e.g., reinforcement learning, graph neural networks, contextual bandits) to enhance recommendations and marketing outcomes.

Requirements:

5+ years of experience in machine learning, with a focus on recommendation systems, ideally within consumer marketing, retail, e-commerce, or a related consumer-facing domain.
Proven track record building personalization or recommendation models that measurably improved engagement or marketing performance.
Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.
Strong understanding of algorithms like matrix factorization, neural networks, and ranking systems.
Strong understanding of LTMs and agentic AI frameworks that can be customized for recommender systems
Experience working with consumer/marketing data, including behavioral, transactional, and campaign data (familiarity with CDPs, marketing analytics, or A/B testing is a plus).
Experience with Databricks and AWS.
Excellent problem-solving skills and a passion for delivering impactful, customer-centric solutions.

Dice Id: 91129433
Position Id: 26-00564
Posted 1 hour ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Machine Learning Engineer

New York, New York

•

Today

Full-time

Machine Learning Engineer

New York, New York

•

Today

Full-time

USD 140,800.00 - 176,000.00 per year

Machine Learning Engineer, Next-Generation Recommendation Systems

New York, New York

•

Today

Full-time

USD 127,400.00 - 191,200.00 per year

Machine Learning Engineer III

New York, New York

•

Today

Full-time

USD 141,400.00 - 190,700.00 per year