In this full-time role, you will work on recommendation systems to improve user experience. Candidates should have a strong foundation in Computer Science and be proficient in machine learning.
In this full-time role, you will work on recommendation systems to improve user experience. Candidates should have a strong foundation in Computer Science and be proficient in machine learning.
About The Role As a Machine Learning Engineer - Recommender Systems, you'll play a central role in improving HP's Retrieval-Augmented Generation (RAG) pipelines for private and local data. You'll ...
About The Role As a Machine Learning Engineer - Recommender Systems, you'll play a central role in improving HP's Retrieval-Augmented Generation (RAG) pipelines for private and local data. You'll ...
Lead Machine Learning Engineer, Recommender Systems
Palo Alto, CA ยท On-site
$175K - $275K/yr
About The Role As a Lead Machine Learning Engineer - Recommender Systems, you'll play a central role in improving HP's Retrieval-Augmented Generation (RAG) pipelines for private and local data. You ...
Lead Machine Learning Engineer, Recommender Systems
Palo Alto, CA ยท On-site
$175K - $275K/yr
About The Role As a Lead Machine Learning Engineer - Recommender Systems, you'll play a central role in improving HP's Retrieval-Augmented Generation (RAG) pipelines for private and local data. You ...
Lead Machine Learning Engineer, Recommender Systems
Palo Alto, CA ยท On-site
$175K - $275K/yr
About The Role As a Lead Machine Learning Engineer - Recommender Systems, you'll play a central role in improving HP's Retrieval-Augmented Generation (RAG) pipelines for private and local data. You ...
Lead Machine Learning Engineer, Recommender Systems
Palo Alto, CA ยท On-site
$175K - $275K/yr
About The Role As a Lead Machine Learning Engineer - Recommender Systems, you'll play a central role in improving HP's Retrieval-Augmented Generation (RAG) pipelines for private and local data. You ...
Senior Machine Learning Engineer, Recommender Systems
Palo Alto, CA ยท On-site
$150K - $250K/yr
About The Role As a Machine Learning Engineer - Recommender Systems, you'll play a central role in improving HP's Retrieval-Augmented Generation (RAG) pipelines for private and local data. You'll ...
Senior Machine Learning Engineer, Recommender Systems
Palo Alto, CA ยท On-site
$150K - $250K/yr
About The Role As a Machine Learning Engineer - Recommender Systems, you'll play a central role in improving HP's Retrieval-Augmented Generation (RAG) pipelines for private and local data. You'll ...
Machine Learning Engineer (Recommender Systems)
Washington, DC ยท On-site
$129K - $155K/yr
This Turn2 client is a fast-growing consumer tech company that is hiring a Machine Learning Engineer to build real-time recommendation and ranking systems for a widely used AI-driven shopping ...
Machine Learning Engineer (Recommender Systems)
Washington, DC ยท On-site
$129K - $155K/yr
This Turn2 client is a fast-growing consumer tech company that is hiring a Machine Learning Engineer to build real-time recommendation and ranking systems for a widely used AI-driven shopping ...
Senior Machine Learning Engineer, Recommender Systems Palo Alto, CA Who We Are HP IQ is HP's new AI innovation lab. Combining startup agility with HP's global scale, we're building intelligent ...
Senior Machine Learning Engineer, Recommender Systems Palo Alto, CA Who We Are HP IQ is HP's new AI innovation lab. Combining startup agility with HP's global scale, we're building intelligent ...
Machine Learning Engineer This Turn2 client is a fast-growing consumer tech company that is hiring a Machine Learning Engineer to build real-time recommendation and ranking systems for a widely used ...
Machine Learning Engineer This Turn2 client is a fast-growing consumer tech company that is hiring a Machine Learning Engineer to build real-time recommendation and ranking systems for a widely used ...
A leading AI research lab in Mountain View is seeking a Research Scientist specializing in Recommendation Systems. This role involves leveraging Large Language Models to innovate state-of-the-art ...
A leading AI research lab in Mountain View is seeking a Research Scientist specializing in Recommendation Systems. This role involves leveraging Large Language Models to innovate state-of-the-art ...
Lead ML Engineer - Recommender Systems & On-Device RAG
Palo Alto, CA ยท Hybrid
$175K - $275K/yr
The ideal candidate will have over 8 years of experience in software development and machine learning engineering, specifically in recommender systems and document retrieval. The role offers a ...
Lead ML Engineer - Recommender Systems & On-Device RAG
Palo Alto, CA ยท Hybrid
$175K - $275K/yr
The ideal candidate will have over 8 years of experience in software development and machine learning engineering, specifically in recommender systems and document retrieval. The role offers a ...
Senior PM -- AI Frameworks & GenAI Recommender Systems
Santa Clara, CA ยท On-site
$208K - $327K/yr
The role involves optimizing frameworks for recommendation systems, developing product strategies, and collaborating with customers. A strong background in machine learning, distributed systems, and ...
Senior PM -- AI Frameworks & GenAI Recommender Systems
Santa Clara, CA ยท On-site
$208K - $327K/yr
The role involves optimizing frameworks for recommendation systems, developing product strategies, and collaborating with customers. A strong background in machine learning, distributed systems, and ...
Recommender Systems Development. Design and improve recommender systems for customer experiences. Develop models that combine user behavior, product data, and contextual signals. Partner with ...
Recommender Systems Development. Design and improve recommender systems for customer experiences. Develop models that combine user behavior, product data, and contextual signals. Partner with ...
Director, ML Research Science (Adtech / Recommender Systems)
San Mateo, CA ยท Hybrid
$250K - $330K/yr
You'll oversee a growing team of ML research scientists, guide innovation in deep learning and LLMs, and directly advance Cognitiv's real-time bidding and recommendation systems. This role is ...
Director, ML Research Science (Adtech / Recommender Systems)
San Mateo, CA ยท Hybrid
$250K - $330K/yr
You'll oversee a growing team of ML research scientists, guide innovation in deep learning and LLMs, and directly advance Cognitiv's real-time bidding and recommendation systems. This role is ...
You'll oversee a growing team of ML research scientists, guide innovation in deep learning and LLMs, and directly advance Cognitiv's real-time bidding and recommendation systems. This role is ...
Quick apply
You'll oversee a growing team of ML research scientists, guide innovation in deep learning and LLMs, and directly advance Cognitiv's real-time bidding and recommendation systems. This role is ...
You'll oversee a growing team of ML research scientists, guide innovation in deep learning and LLMs, and directly advance Cognitiv's real-time bidding and recommendation systems. This role is ...
You'll oversee a growing team of ML research scientists, guide innovation in deep learning and LLMs, and directly advance Cognitiv's real-time bidding and recommendation systems. This role is ...
Job Summary : Google DeepMind operates at the frontier of modern recommender systems, focusing on building next-gen Large Recommendation Models. As a Research Scientist, you will explore new ...
Job Summary : Google DeepMind operates at the frontier of modern recommender systems, focusing on building next-gen Large Recommendation Models. As a Research Scientist, you will explore new ...
2026 Fall Applied Science Internship - Recommender Systems/ Information Retrieval (Machine Learni...
Seattle, WA ยท On-site
As an Applied Science Intern focused on Recommender Systems and Information Retrieval in Machine Learning, you'll have the opportunity to work alongside renowned scientists and engineers, tackling ...
2026 Fall Applied Science Internship - Recommender Systems/ Information Retrieval (Machine Learni...
Seattle, WA ยท On-site
As an Applied Science Intern focused on Recommender Systems and Information Retrieval in Machine Learning, you'll have the opportunity to work alongside renowned scientists and engineers, tackling ...
A leading social app is seeking a Sr. Data Scientist specializing in recommendations to join their team in Palo Alto, CA. This hybrid role involves collaboration with Product and Engineering teams to ...
A leading social app is seeking a Sr. Data Scientist specializing in recommendations to join their team in Palo Alto, CA. This hybrid role involves collaboration with Product and Engineering teams to ...
Research Scientist Graduate (TikTok Recommendation-Large Recommender Models) - 2026 Start (PhD)
San Jose, CA ยท On-site
$156K - $387K/yr
You'll leverage advanced deep learning techniques and large-scale systems engineering, collaborating with cross-functional teams to solve complex challenges in personalization and recommendation at ...
Research Scientist Graduate (TikTok Recommendation-Large Recommender Models) - 2026 Start (PhD)
San Jose, CA ยท On-site
$156K - $387K/yr
You'll leverage advanced deep learning techniques and large-scale systems engineering, collaborating with cross-functional teams to solve complex challenges in personalization and recommendation at ...
Expertise in one or more areas: recommender systems, search systems, information retrieval, or generative models (e.g., LLMs, VLMs, VLAs) * Ability to design and architect systems for efficient ...
Expertise in one or more areas: recommender systems, search systems, information retrieval, or generative models (e.g., LLMs, VLMs, VLAs) * Ability to design and architect systems for efficient ...
Recommender Systems information
See salary details
$46K - $59.7K
8% of jobs
$70.5K is the 25th percentile. Wages below this are outliers.
$59.7K - $73.5K
21% of jobs
$73.5K - $87.2K
14% of jobs
The median wage is $93.6K / yr.
$87.2K - $100.9K
15% of jobs
$100.9K - $114.6K
8% of jobs
$127.2K is the 75th percentile. Wages above this are outliers.
$114.6K - $128.4K
9% of jobs
$128.4K - $142.1K
11% of jobs
$142.1K - $155.8K
2% of jobs
$155.8K - $169.5K
0% of jobs
$169.5K - $183.3K
0% of jobs
$183.3K - $197K
12% of jobs
$46K
$112K
$197K
How much do recommender systems jobs pay per year?
What is a Recommender Systems job?
A Recommender Systems job involves designing, building, and optimizing algorithms that suggest relevant content, products, or services to users based on their preferences and behavior. Professionals in this field work with machine learning, data science, and engineering to develop personalized recommendations for platforms like e-commerce sites, streaming services, and social media. They analyze large datasets, fine-tune models, and collaborate with cross-functional teams to improve user experiences and drive business goals.
What are the common daily responsibilities for someone working in Recommender Systems?
Professionals in Recommender Systems typically spend their days designing, developing, and optimizing algorithms that suggest personalized content or products to users. Their tasks often involve analyzing large datasets, implementing and testing machine learning models, and collaborating closely with engineers, data scientists, and product managers to deploy these solutions. Regularly reviewing user feedback and system metrics is also important for continuous improvement. The role often requires balancing technical work with cross-team communication to ensure the recommended systems align with overall business objectives.
What are the key skills and qualifications needed to thrive in the Recommender Systems position, and why are they important?
To thrive in a Recommender Systems role, you need a strong background in computer science, machine learning, statistics, and data analysis, often supported by a relevant degree or equivalent experience. Familiarity with programming languages such as Python or Scala, frameworks like TensorFlow or PyTorch, and experience with big data tools and collaborative filtering algorithms are typically required. Excellent problem-solving abilities, communication skills, and the capacity to work collaboratively with cross-functional teams are invaluable soft skills. These competencies are vital to designing effective recommendation algorithms that enhance user experiences and deliver business value.
Full-time
This job post hasย expired today.ย Applications are no longer accepted.
Job description
Excellent problem-solving and communication skills are essential, as well as the ability to work collaboratively in a team-oriented environment. #J-18808-Ljbffr
About YouTube
Sourced by ZipRecruiter
Industry
Internet and it
Company size
1,001 - 5,000 Employees
Headquarters location
San Bruno, CA, US
Year founded
2005