Analyze user interactions and system performance to guide algorithmic improvements * Work across ML ... Strong foundation in recommender systems, embeddings, and ranking models * Experience building or ...
Analyze user interactions and system performance to guide algorithmic improvements * Work across ML ... Strong foundation in recommender systems, embeddings, and ranking models * Experience building or ...
Lead Machine Learning Engineer, Recommender Systems
$175K - $275K/yr
Analyze user interactions and system performance to guide algorithmic improvements * Partner with ... Deep expertise in recommender systems, embeddings, and ranking models * Proven experience building ...
Lead Machine Learning Engineer, Recommender Systems
$175K - $275K/yr
Analyze user interactions and system performance to guide algorithmic improvements * Partner with ... Deep expertise in recommender systems, embeddings, and ranking models * Proven experience building ...
Analyze user interactions and system performance to guide algorithmic improvements * Work across ML ... Strong foundation in recommender systems, embeddings, and ranking models * Experience building or ...
Analyze user interactions and system performance to guide algorithmic improvements * Work across ML ... Strong foundation in recommender systems, embeddings, and ranking models * Experience building or ...
Lead Machine Learning Engineer, Recommender Systems
Palo Alto, CA · On-site
$175K - $275K/yr
Analyze user interactions and system performance to guide algorithmic improvements * Partner with ... Deep expertise in recommender systems, embeddings, and ranking models * Proven experience building ...
Lead Machine Learning Engineer, Recommender Systems
Palo Alto, CA · On-site
$175K - $275K/yr
Analyze user interactions and system performance to guide algorithmic improvements * Partner with ... Deep expertise in recommender systems, embeddings, and ranking models * Proven experience building ...
Senior Machine Learning Engineer, Recommender Systems
Palo Alto, CA · On-site
$150K - $250K/yr
Analyze user interactions and system performance to guide algorithmic improvements * Work across ML ... Strong foundation in recommender systems, embeddings, and ranking models * Experience building or ...
Senior Machine Learning Engineer, Recommender Systems
Palo Alto, CA · On-site
$150K - $250K/yr
Analyze user interactions and system performance to guide algorithmic improvements * Work across ML ... Strong foundation in recommender systems, embeddings, and ranking models * Experience building or ...
About The Team The Personalization data science team builds and maintains search algorithms and recommender systems that are at the forefront of creating a modern, engaging, digital shopping ...
About The Team The Personalization data science team builds and maintains search algorithms and recommender systems that are at the forefront of creating a modern, engaging, digital shopping ...
Machine Learning Engineer (Recommender Systems)
Washington, DC · 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 · 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 ...
About The Team The Personalization data science team builds and maintains search algorithms and recommender systems that are at the forefront of creating a modern, engaging, digital shopping ...
About The Team The Personalization data science team builds and maintains search algorithms and recommender systems that are at the forefront of creating a modern, engaging, digital shopping ...
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 ...
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 ...
Design, develop, and optimize end-to-end recommendation systems, from data ingestion to model deployment. * Build, fine-tune, and evaluate recommendation algorithms for scalability and performance.
Design, develop, and optimize end-to-end recommendation systems, from data ingestion to model deployment. * Build, fine-tune, and evaluate recommendation algorithms for scalability and performance.
Lead Data Scientist- Recommendation Systems
New York, NY · On-site +1
Design, develop, and optimize end-to-end recommendation systems, from data ingestion to model deployment. * Build, fine-tune, and evaluate recommendation algorithms for scalability and performance.
Lead Data Scientist- Recommendation Systems
New York, NY · On-site +1
Design, develop, and optimize end-to-end recommendation systems, from data ingestion to model deployment. * Build, fine-tune, and evaluate recommendation algorithms for scalability and performance.
Design, develop, and optimize end-to-end recommendation systems, from data ingestion to model deployment. * Build, fine-tune, and evaluate recommendation algorithms for scalability and performance.
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Design, develop, and optimize end-to-end recommendation systems, from data ingestion to model deployment. * Build, fine-tune, and evaluate recommendation algorithms for scalability and performance.
Director, ML Research Science (Adtech / Recommender Systems)
San Mateo, CA · 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 · 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 ...
This is a role at the intersection of recommendation systems, representation learning, and generative image and video tools. What you'll do * Architect and build Krea's personalization and ...
This is a role at the intersection of recommendation systems, representation learning, and generative image and video tools. What you'll do * Architect and build Krea's personalization and ...
This is a role at the intersection of recommendation systems, representation learning, and generative image and video tools. What you'll do * Architect and build Krea's personalization and ...
This is a role at the intersection of recommendation systems, representation learning, and generative image and video tools. What you'll do * Architect and build Krea's personalization and ...
We build large-scale recommender systems for all of Snap's video content products. What you'll do * Lead the vision and roadmap for Snap's large-scale recommendation systems, elevating content ...
We build large-scale recommender systems for all of Snap's video content products. What you'll do * Lead the vision and roadmap for Snap's large-scale recommendation systems, elevating content ...
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 ...
About The Team The Personalization data science team builds and maintains search algorithms and recommender systems that are at the forefront of creating a modern, engaging, digital shopping ...
About The Team The Personalization data science team builds and maintains search algorithms and recommender systems that are at the forefront of creating a modern, engaging, digital shopping ...
Recommender System 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 system jobs pay per year?
As of Jun 20, 2026, the average yearly pay for recommender system in the United States is $111,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $136,000.00 per year, depending on experience, location, and employer.
$150K - $250K/yr
Other
Posted yesterday
Job description
About The RoleÂ
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 build intelligent, context-aware retrieval systems that enhance user interactions with documents, meetings, and applications-all on-device. This role blends deep ML experience with product-focused engineering.Â
What You Might DoÂ- Design, implement, and scale recommendation and retrieval algorithms for our AI Companion app
- Improve vector search and similarity matching models to identify relevant documents across structured and unstructured data
- Analyze user interactions and system performance to guide algorithmic improvements
- Work across ML, infrastructure, and product teams to deploy fast and efficient RAG workflows
- Build and maintain retrieval indexes optimized for latency and memoryÂ
- 7+ years of software development experience with exposure to ML engineering
- Strong foundation in recommender systems, embeddings, and ranking models
- Experience building or scaling document search or retrieval systems
- Familiarity with vector databases (e.g., FAISS, Pinecone, Qdrant)
- Proficient in Python and one systems language (e.g., C++, Java)Â
- Background in LLM integration or fine-tuning for RAG workflows
- Industry experience at companies like Google (Search, YouTube), Meta (Feed, Ads), or Twitter (Timeline, Trends)
- Experience with ML pipeline tools (Airflow, Ray, TorchServe)
- Previous experience improving search relevance, click-through rate, or long-term engagementÂ
Salary Range:Â $150,000 - $250,000