Search Jobs | Dice.com

300 results (17 new)

Group by company

ML Engineer - Recommendation Systems

Global Soft Systems

Parsippany-Troy Hills, New Jersey • Today

Easy Apply

Contract

ML Engineer (Retail Advertising & Recommendation Systems)

AGM Tech Solutions, LLC

Hybrid in Parsippany-Troy Hills, New Jersey • 30+d ago

Easy Apply

Contract

Depends on Experience

Staff Machine Learning Engineer, Recommendation Systems - Quora (Remote)

Quora

Remote or Canada, Kentucky • Today

Full-time

USD 219,989.00 - 320,613.00 per year

ML Engineer

Randstad Digital

New York, New York • Today

Contract

USD75 - USD85

ML Engineer

Apex Systems

Parsippany-Troy Hills, New Jersey • Today

Easy Apply

Full-time

$75 - $82 per hour

Machine Learning (ML) Engineer

KBC Technologies, Inc

Hybrid in New York, New York • 18d ago

Easy Apply

Contract

Depends on Experience

Senior Staff Machine Learning Engineer Search, Recommendations, and Ads

Etsy, Inc

Remote or New York, New York • Today

Full-time

Machine Learning Engineer, Search, Ads & Recommendations

Etsy, Inc

Remote or New York, New York • Today

Full-time

Senior Lead Software Engineer - ML Engineer

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 175,750.00 - 260,000.00 per year

AI/ML Engineer

ZT Systems

Secaucus, New Jersey • Today

Full-time

USD 105,000.00 - 154,000.00 per year

Senior Applied AI ML Engineer

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 171,000.00 - 260,000.00 per year

Senior Lead Software Engineer - AI/ML Developer

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 175,750.00 - 260,000.00 per year

Machine Learning Engineer - Document Digitization (LLMs)-Senior Associate

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 137,750.00 - 195,000.00 per year

Lead AI-ML Engineer (Generative AI & LLM)

Visionsoft International

New York, New York • Today

Easy Apply

Contract

Depends on Experience

Staff Machine Learning Engineer - Retention

Taskrabbit

New York, New York • Today

Full-time

USD 170,000.00 - 225,000.00 per year

Principal Software Engineer, Machine Learning

Attentive

New York, New York • Today

Full-time

USD 350,000.00 - 430,000.00 per year

Staff Software Engineer, Machine Learning

Attentive

New York, New York • Today

Full-time

USD 320,000.00 - 360,000.00 per year

Machine Learning Engineer II

S&P Global

New York, New York • Yesterday

Full-time

USD 140,000.00 - 180,000.00 per year

Machine Learning Engineer 4

Capital One

New York, New York • Today

Full-time

Machine Learning Engineer 4 - Machine Learning Experiences (MLX)

Capital One

New York, New York • Today

Full-time

Machine Learning Engineer 4 - Machine Learning Foundations (MLX)

Capital One

New York, New York • Today

Full-time

Machine Learning Engineer 4 - Intelligent Foundations and Experiences (IFX)

Capital One

New York, New York • Today

Full-time

Machine Learning Engineer 4 (Manager, IC)

Capital One

New York, New York • Today

Full-time

Senior Manager, Machine Learning Engineer

Capital One

New York, New York • Today

Full-time

Machine Learning Engineer 5 (Senior Manager, IC)

Capital One

New York, New York • Today

Full-time

Senior Manager, Machine Learning Engineer (People Leader)

Capital One

New York, New York • Today

Full-time

Machine Learning Engineer 5 (IC)

Capital One

New York, New York • Today

Full-time

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

Capital One

New York, New York • Today

Full-time

Lead Software Engineer - ML and Agentic Treasury

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 156,750.00 - 215,000.00 per year

Lead AI/ML Engineer

S&P Global

New York, New York • 4d ago

Full-time

USD 149,302.00 - 209,000.00 per year

Job Details

Skills

Python
AWS
Databricks
Tensorflow
Pytorch
ML frameworks
recommendation systems

Summary

ML Engineer Recommendation Systems

It is hybrid 3 times a week in Parsippany, NJ , with an onsite iv as a final round

Long Term

Must haves:

Recommendation Systems/ Ranking Systems
Neural networks
DeepLearning
GRAPH
DeepFM
Matrix factorization

Job Description:
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:

10+ 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: 90938717
Position Id: 2026-1795
Posted 1 day ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

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

Hybrid in Parsippany-Troy Hills, New Jersey

•

30+d ago

Position Title: Data Scientist ML Engineer Retail Advertising & Recommendation Systems location: Parsippany, NJ (Hybrid) 6-12+Months Contract Must Have: Retail Advertising & Recommendation Systems experience Position 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 exp

Easy Apply

Contract

Depends on Experience

ML Engineer

Parsippany-Troy Hills, New Jersey

•

Today

Job#: 3051595 Job Description: ML Engineer Location: Parsippany-Troy Hills, New Jersey (Hybrid) Role Overview We are seeking a skilled Machine Learning Engineer with 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. This role requires the ability to

Easy Apply

Full-time

$75 - $82 per hour

Machine Learning Engineer

New York, New York

•

Today

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Driver, Marketplace, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation pla

Full-time

USD 140,800.00 - 176,000.00 per year

Director of Engineering, Machine Learning Recommendations

Remote or New York, New York

•

Today

Company Description Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy employee, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human. We believe exceptional companies are built by exceptional teams, and we're intentional about it. Th

Full-time

Job Details

Skills

Python
AWS
Databricks
Tensorflow
Pytorch
ML frameworks
recommendation systems

Summary

ML Engineer Recommendation Systems

It is hybrid 3 times a week in Parsippany, NJ , with an onsite iv as a final round

Long Term

Must haves:

Recommendation Systems/ Ranking Systems
Neural networks
DeepLearning
GRAPH
DeepFM
Matrix factorization

Job Description:
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:

10+ 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: 90938717
Position Id: 2026-1795
Posted 1 day ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

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

Hybrid in Parsippany-Troy Hills, New Jersey

•

30+d ago

Easy Apply

Contract

Depends on Experience

ML Engineer

Parsippany-Troy Hills, New Jersey

•

Today

Easy Apply

Full-time

$75 - $82 per hour

Machine Learning Engineer

New York, New York

•

Today

Full-time

USD 140,800.00 - 176,000.00 per year

Director of Engineering, Machine Learning Recommendations

Remote or New York, New York

•

Today

Full-time

ML Engineer - Recommendation Systems

Skills

Summary

Dice Job Match Score™

Similar Jobs

ML Engineer - Recommendation Systems

Job Details

Skills

Summary

Dice Job Match Score™

Similar Jobs