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Full Time Recommender Systems Jobs (NOW HIRING)

Senior AI/ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Full-time, on-site in San Francisco. What you will do * Design and ship end-to-end ML systems: data ... Hands-on experience with LLMs, fine-tuning, RAG, or large-scale recommender systems * Strong Python ...

Senior AI/ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Full-time, on-site in San Francisco. What you will do * Design and ship end-to-end ML systems: data ... Hands-on experience with LLMs, fine-tuning, RAG, or large-scale recommender systems * Strong Python ...

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Full-time, on-site in San Francisco. What you will do * Design and ship end-to-end ML systems: data ... Hands-on experience with LLMs, fine-tuning, RAG, or large-scale recommender systems * Strong Python ...

In this role, you'll develop deep technical expertise in our recommender system, but you'll spend ... Applicants must be currently authorized to work in the United States on a full-time basis.

Staff Machine Learning Engineer

New York, NY · On-site +1

$179K - $224K/yr

Our group builds conversational AI systems including Ebb, as well as search, recommendation ... The anticipated new hire base salary range for this full-time position is $140,400-$195,000 ...

$104K - $115K/yr

... STATUS: Full-Time; Salaried SECURITY CLEARANCE: MUST have an active Secret security clearance ... Conduct reviews on program portfolio to evaluate and/or recommend alternative plans, improve ...

This is a full-time position. * Conduct reviews on program portfolio to evaluate and/or recommend alternative plans, improve systems engineering programs/processes, manage/sustain program technical ...

$125K - $150K/yr

... JOB STATUS: Full-time CLEARANCE : TS/SCI TRAVEL: Limited, as needed Astrion has an exciting ... Conduct reviews on program portfolio to evaluate and/or recommend alternative plans, improve ...

Systems Engineer

Hanscom Air Force Base, MA · On-site

$104K - $115K/yr

... STATUS: Full-Time; Salaried SECURITY CLEARANCE: MUST have an active Secret security clearance ... Conduct reviews on program portfolio to evaluate and/or recommend alternative plans, improve ...

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Full Time Recommender Systems information

See salary details

$46K

$112K

$197K

How much do full time recommender systems jobs pay per year?

As of Jul 14, 2026, the average yearly pay for full time 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 are Recommender Systems?

Recommender systems are algorithms and software designed to suggest relevant items, such as products, movies, or content, to users based on their preferences and behavior. They are widely used in online platforms like e-commerce sites, streaming services, and social media to help users discover new items that match their interests. These systems use techniques such as collaborative filtering, content-based filtering, and hybrid approaches to analyze data and generate personalized recommendations. Full-time roles in recommender systems typically involve designing, building, and optimizing these algorithms to improve user engagement and satisfaction.

What are the key skills and qualifications needed to thrive as a Full Time Recommender Systems Engineer, and why are they important?

To thrive as a Full Time Recommender Systems Engineer, you need a solid background in computer science, machine learning, and data analysis, usually supported by a relevant degree. Familiarity with tools such as Python, TensorFlow, PyTorch, and large-scale data processing systems like Spark is essential, along with experience implementing collaborative filtering, content-based, or hybrid recommendation algorithms. Strong problem-solving abilities, communication skills, and a collaborative mindset help you effectively translate business needs into technical solutions. These skills ensure the development of accurate, scalable, and user-focused recommendation systems that drive engagement and business value.

What are some common challenges faced by professionals working full-time on recommender systems, and how can they be addressed?

Full-time professionals in recommender systems often face challenges such as handling large-scale data, ensuring recommendation diversity, and mitigating biases in algorithms. Collaborating closely with data engineers, product managers, and UX designers is crucial to refine recommendations and align them with user needs. Staying updated with the latest research and regularly evaluating model performance helps in overcoming these challenges and maintaining system effectiveness. Many teams also use A/B testing and continuous feedback loops to iteratively improve recommendations.

What is the difference between Full Time Recommender Systems vs Data Scientist?

AspectFull Time Recommender SystemsData Scientist
CredentialsDegree in Computer Science, Data Science, or related fields; experience with machine learningDegree in Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentTech companies, e-commerce, streaming services focusing on recommendation algorithmsVarious industries including finance, healthcare, marketing, often involving data analysis and modeling
Industry UsagePrimarily in tech-driven sectors developing personalized recommendation systemsAcross multiple sectors analyzing data to inform business decisions

Full Time Recommender Systems specialists focus on developing and optimizing recommendation algorithms within tech companies, while Data Scientists analyze data across industries to support decision-making. Both roles require strong technical skills, but their primary focus and application environments differ.

More about Full Time Recommender Systems jobs
What cities are hiring for Full Time Recommender Systems jobs? Cities with the most Full Time Recommender Systems job openings:
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 Full Time Recommender Systems jobs? States with the most job openings for Full Time Recommender Systems jobs include:
What job categories do people searching Full Time Recommender Systems jobs look for? The top searched job categories for Full Time Recommender Systems jobs are:
Infographic showing various Full Time Recommender Systems job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $111,995 per year, or $53.8 per hour.
Systems Engineer

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

We are recruiting for a Journeyman Systems Engineer for the Engineering, Professional, and Administrative Support Services (EPASS) Contract at Peterson Space Force Base supporting SYD 85 in the S5.

This is a full-time position at Peterson Space Force Base, Colorado


Duties include but are not limited to:

  • Conduct reviews on program portfolio to evaluate and/or recommend alternative plans, improve systems engineering programs/processes, manage/sustain program technical baseline, and design/perform system level tests to assure that subsystems and system performance is achieved in accordance with approved specifications
  • Perform program reviews to evaluate alternative proposed plans, systems engineering programs, design and test results to assure that subsystem and system performance is achieved in accordance with program specifications
  • Prepare technical documents which define, specify, and recommend system/subsystem characteristics.  Prepares management reports and conducts technical presentations for planning, implementation and corrective action using application of engineering economy principles
  • Perform validation of systems, including development of criteria and procedures.  Analyze and/or evaluate results of major engineering systems
  • Provide system/program engineering, technical support and technical training to support programs/initiatives, including but not limited to acquisition, development, integration, sustainment, continued evolution, deployment/fielding and installation, testing and operations oversight.
  • Provide engineering support services and inputs to program and project risk management activities in compliance with Air Force System Engineering Assessment Model (AF SEAM) processes
  • Provide engineering support to conduct formal trade studies based on engineering performance, effectiveness, cost effectiveness, cost performance, life cycle cost, producibility, reliability, maintainability, risk, and schedule.
  • Provide technical recommendation support services, including reviews, studies, audits, evaluations and analyses, scientific and procedural guidance, documentation, technical analysis, and support of associated engineering IPTs.
  • Provide proposal analysis support services that compare and quantify proposed systems, components, approaches for technical feasibility, compatibility, and cost effectiveness
  • Provide concepts and requirements analyses support services including, but not limited to, reviewing and analyzing
    •  Initial Capabilities Documents
    • Capability Development Documents
    • Capability Production Documents
    • Alternatives of Analysis (AoA)s
    • Military Utility Assessments
    • Concepts of Operation (CONOPs)
    • Technology Development Strategies
    • Functional Configuration Audits (FCAs)/Physical Configuration Audits (PCAs)
    • Technology Standards Profiles

Minimum Requirements: 

Citizenship:Must be a U.S. Citizen 

Clearance:Ability to obtain and maintain TS

Education:High School Diploma 

Years of Experience:7 years of directly related experience;OR

  • BA/BS degree with 3 years of directly related experience 

Preferred Qualifications: 

Education: Bachelor's degree 

Years of experience: 3 years of directly related experience

Additional Experience: 

  • DoD Acquisition Program Office experience
  • Experience supporting Missile Warning, Missile Defense and/or Space Domain Awareness or Command and Control
    Systems 
  • DoDAF Architectural documentation experience (Highly Preferred)
  • Cloud-based technologies
  • Mission and/or software applications and their uses
  • Digital Engineering/Model-Based Systems Engineering
  • Sparx EA (including ProCloud Server) or Cameo Enterprise Architect
  • Modeling and simulation on software-intensive systems
  • Tools such as MATLAB, Simulink, AFSIM

Additional Information

Location: On-site at Peterson SFB in Colorado Springs, CO 

Hybrid: Telework capabilities for local candidates (percentage of telework allowed will vary based on the customer's discretion) 

Travel: Travel may be required to CONUS locations (approx. 10%) 

#LI-JK1


Odyssey is a world-class technical, engineering, and integration company serving the warfighting ecosystem with airborne integration, ISR, C2, and warfighter readiness capabilities. Odyssey meets the military’s operational needs by integrating layered defense systems from equipment, technology, and services to data, information, and business operations. We streamline defense acquisition and sustainment, engineering the technical battlefield with domain-specific proficiency to ensure lethality. Odyssey is dedicated to excellent contract execution, peak organizational performance, and fostering a workplace built on employee care.

Odyssey is proud to live out our core values of commitment, ambition, and respect in our work and communities through OdysseyCares, a philanthropic group focused on giving back through direct donations, an employer match program, and volunteering events.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities


Final compensation for this position will be determined by various factors such as the Federal Government contract labor categories and contract wage rates, relevant work experience, specific skills and competencies, geographic location, education, and certifications.

This position is filled through continuous recruitment and will remain open until a sufficient pool of applications has been received.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, Tricare supplement, short-term disability, long-term disability, 401(k) match, flexible spending accounts, health savings accounts, employee assistance program, learning and development benefit, paid time off, and holidays.
Odyssey Benefits