Senior Data scientist
Cincinnati, OH · On-site
The role involves developing recommender systems, applying generative AI models, and collaborating across teams to deliver data-driven solutions. Responsibilities : • Recommender Systems ...
Senior Data scientist
Cincinnati, OH · On-site
The role involves developing recommender systems, applying generative AI models, and collaborating across teams to deliver data-driven solutions. Responsibilities : • Recommender Systems ...
Our research agenda is at the forefront of the field, actively focusing on areas such as Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems. Role Description: In ...
Our research agenda is at the forefront of the field, actively focusing on areas such as Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems. Role Description: In ...
Our research agenda is at the forefront of the field, actively focusing on areas such as Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems. Role Description: In ...
Our research agenda is at the forefront of the field, actively focusing on areas such as Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems. Role Description: In ...
Our research agenda is at the forefront of the field, actively focusing on areas such as Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems. Role Description: In ...
Our research agenda is at the forefront of the field, actively focusing on areas such as Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems. Role Description: In ...
Our research agenda is at the forefront of the field, actively focusing on areas such as Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems. Role Description: In ...
Our research agenda is at the forefront of the field, actively focusing on areas such as Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems. Role Description: In ...
Our research agenda is at the forefront of the field, actively focusing on areas such as Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems. Role Description: In ...
Our research agenda is at the forefront of the field, actively focusing on areas such as Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems. Role Description: In ...
Senior Data scientist
Cincinnati, OH · On-site
$135K - $175K/yr
Recommender Systems Development. Design and improve recommender systems for customer experiences. Develop models that combine user behavior, product data, and contextual signals. Partner with ...
Senior Data scientist
Cincinnati, OH · On-site
$135K - $175K/yr
Recommender Systems Development. Design and improve recommender systems for customer experiences. Develop models that combine user behavior, product data, and contextual signals. Partner with ...
Senior Data scientist
Cincinnati, OH · On-site
$135K - $175K/yr
Recommender Systems Development. Design and improve recommender systems for customer experiences. Develop models that combine user behavior, product data, and contextual signals. Partner with ...
Senior Data scientist
Cincinnati, OH · On-site
$135K - $175K/yr
Recommender Systems Development. Design and improve recommender systems for customer experiences. Develop models that combine user behavior, product data, and contextual signals. Partner with ...
Machine Learning Engineer
Cincinnati, OH · On-site
Capable software engineering skills to lead a multi stage recommender system model lifecycle from inception to production.
Machine Learning Engineer
Cincinnati, OH · On-site
Capable software engineering skills to lead a multi stage recommender system model lifecycle from inception to production.
Our research agenda is at the forefront of the field, actively focusing on areas such as Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems. Role Description: In ...
Our research agenda is at the forefront of the field, actively focusing on areas such as Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems. Role Description: In ...
This role will own personalization and recommender system work end-to-end, from model development to deployment to output monitoring, in close partnership with business stakeholders, platform ...
This role will own personalization and recommender system work end-to-end, from model development to deployment to output monitoring, in close partnership with business stakeholders, platform ...
This role will own personalization and recommender system work end-to-end, from model development to deployment to output monitoring, in close partnership with business stakeholders, platform ...
This role will own personalization and recommender system work end-to-end, from model development to deployment to output monitoring, in close partnership with business stakeholders, platform ...
Senior Data scientist
Cincinnati, OH · On-site
$135K - $175K/yr
Recommender Systems Development. Design and improve recommender systems for customer experiences. Develop models that combine user behavior, product data, and contextual signals. Partner with ...
Senior Data scientist
Cincinnati, OH · On-site
$135K - $175K/yr
Recommender Systems Development. Design and improve recommender systems for customer experiences. Develop models that combine user behavior, product data, and contextual signals. Partner with ...
Our research agenda is at the forefront of the field, actively focusing on areas such as Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems. Role Description: In ...
Our research agenda is at the forefront of the field, actively focusing on areas such as Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems. Role Description: In ...
Research Scientist Graduate (TikTok Recommendation-Agentic AI) - 2026 Start (PhD)
San Jose, CA · On-site
$156K - $387K/yr
Our mission is to build world-class, end-to-end recommender systems that go beyond prediction to reasoning, alignment, and autonomy. We're integrating cutting-edge techniques such as multimodal large ...
Research Scientist Graduate (TikTok Recommendation-Agentic AI) - 2026 Start (PhD)
San Jose, CA · On-site
$156K - $387K/yr
Our mission is to build world-class, end-to-end recommender systems that go beyond prediction to reasoning, alignment, and autonomy. We're integrating cutting-edge techniques such as multimodal large ...
Our research agenda is at the forefront of the field, actively focusing on areas such as Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems. Role Description: In ...
Our research agenda is at the forefront of the field, actively focusing on areas such as Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems. Role Description: In ...
Sr. Machine Learning Engineer (Recommendation Systems)
San Francisco, CA · On-site
$144K - $190K/yr
Senior Machine Learning Engineer (Recommendation Systems) Philo's recommendation system improves user engagement and customer satisfaction by tailoring content discovery to individual preferences and ...
Sr. Machine Learning Engineer (Recommendation Systems)
San Francisco, CA · On-site
$144K - $190K/yr
Senior Machine Learning Engineer (Recommendation Systems) Philo's recommendation system improves user engagement and customer satisfaction by tailoring content discovery to individual preferences and ...
Research Scientist Intern (TikTok Recommendation-LLMs, RL, GenAI) - 2026 Start (PhD)
San Jose, CA · On-site
$60/hr
... recommender systems. Job Information [For Pay Transparency]Compensation Description (Hourly) - Campus Intern The hourly rate range for this position in the selected city is $60- $60. Benefits may ...
Research Scientist Intern (TikTok Recommendation-LLMs, RL, GenAI) - 2026 Start (PhD)
San Jose, CA · On-site
$60/hr
... recommender systems. Job Information [For Pay Transparency]Compensation Description (Hourly) - Campus Intern The hourly rate range for this position in the selected city is $60- $60. Benefits may ...
Software Engineer, Recommendation Systems Responsibilities: * Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient * Effectively ...
Software Engineer, Recommendation Systems Responsibilities: * Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient * Effectively ...
Software Engineer, Recommendation Systems
$203K - $241K/yr
We are the teams who create all of Facebook's product used by more than 1.5 billion people around the world. Want to build new features and improve exis.
Software Engineer, Recommendation Systems
$203K - $241K/yr
We are the teams who create all of Facebook's product used by more than 1.5 billion people around the world. Want to build new features and improve exis.
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?
As of Aug 6, 2026, the average yearly pay for recommender systems 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.
What is a recommender system?
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 does a recommender system do?
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 recommender systems?
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.
More about Recommender Systems jobs
What are the most commonly searched types of Recommender Systems jobs? The most popular types of Recommender Systems jobs are:
What states have the most Recommender Systems jobs? States with the most job openings for Recommender Systems jobs include:
What job categories do people searching Recommender Systems jobs look for? The top searched job categories for Recommender Systems jobs are:
Job description
Job Summary:
ClifyX is seeking a Senior Data Scientist to enhance their AI-driven systems. The role involves developing recommender systems, applying generative AI models, and collaborating across teams to deliver data-driven solutions.
Responsibilities:
• Recommender Systems Development. Design and improve recommender systems for customer experiences. Develop models that combine user behavior, product data, and contextual signals. Partner with engineering to deploy and iterate on models in production.
• AI & LLM-driven Systems. Apply Generative AI models to enhance personalization and customer facing features. Design hybrid systems that combine structured ML models with LLM-generated outputs. Evaluate AI-driven outputs using business and user-centric metrics.
• Experimentation & Measurement. Design and run A/B tests and segmentation-based experiments. Develop measurement frameworks for personalization. Translate results into actionable insights and model improvements.
• Data & Workflow Development. Build and curate datasets to support ML and AI applications. Identify opportunities to make data more usable for AI-driven systems. Partner with engineering teams to develop scalable pipelines.
• Cross-functional Collaboration. Work closely with product owners, engineers, and data scientists to define and deliver solutions. Communicate technical findings clearly to both technical and non-technical audiences. Operate with high ownership in ambiguous, fast-moving environment.
Qualifications:
Required:
• 2+ years of proven experience building deep learning models for large-scale recommender systems.
• Proficiency in ML frameworks such as TensorFlow or PyTorch.
• Proficiency in SQL, Python and Spark for data analysis and manipulation.
• Proficiency with statistics, design of experiments, exploratory data analysis, and insights generation.
• Experience working with LLMs or Generative systems in applied settings.
• Experience working with cloud platforms like Azure or GCP.
• High level of independence to develop and own toolkits, pipelines, and dashboards.
Preferred:
• Experience working with Databricks is a plus.
• Experience working with Data Engineering and MLOps is desirable.
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.
ClifyX is seeking a Senior Data Scientist to enhance their AI-driven systems. The role involves developing recommender systems, applying generative AI models, and collaborating across teams to deliver data-driven solutions.
Responsibilities:
• Recommender Systems Development. Design and improve recommender systems for customer experiences. Develop models that combine user behavior, product data, and contextual signals. Partner with engineering to deploy and iterate on models in production.
• AI & LLM-driven Systems. Apply Generative AI models to enhance personalization and customer facing features. Design hybrid systems that combine structured ML models with LLM-generated outputs. Evaluate AI-driven outputs using business and user-centric metrics.
• Experimentation & Measurement. Design and run A/B tests and segmentation-based experiments. Develop measurement frameworks for personalization. Translate results into actionable insights and model improvements.
• Data & Workflow Development. Build and curate datasets to support ML and AI applications. Identify opportunities to make data more usable for AI-driven systems. Partner with engineering teams to develop scalable pipelines.
• Cross-functional Collaboration. Work closely with product owners, engineers, and data scientists to define and deliver solutions. Communicate technical findings clearly to both technical and non-technical audiences. Operate with high ownership in ambiguous, fast-moving environment.
Qualifications:
Required:
• 2+ years of proven experience building deep learning models for large-scale recommender systems.
• Proficiency in ML frameworks such as TensorFlow or PyTorch.
• Proficiency in SQL, Python and Spark for data analysis and manipulation.
• Proficiency with statistics, design of experiments, exploratory data analysis, and insights generation.
• Experience working with LLMs or Generative systems in applied settings.
• Experience working with cloud platforms like Azure or GCP.
• High level of independence to develop and own toolkits, pipelines, and dashboards.
Preferred:
• Experience working with Databricks is a plus.
• Experience working with Data Engineering and MLOps is desirable.
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.
About ClifyX
Sourced by ZipRecruiter
ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.
Industry
Recruiting and staffing services
Company size
51 - 200 Employees
Headquarters location
South Plainfield, NJ, US
Year founded
1998