ZipRecruiter

Log In

1

Manager Recommender Systems Jobs in California (NOW HIRING)

AGE Solutions

Systems Engineer

Tracy, CA · Hybrid

$105K/yr

Produce technical reports on storage management practices and emerging technologies; recommend system enhancements, configuration changes, and optimization strategies to improve performance and ...

Namely

Principal Al Engineer

Mountain View, CA · On-site

$190 - $270/hr

Expertly design, build, and tune production AI/ML models (NLP, Deep Learning, Recommender Systems ... management challenges with next-gen AI. * Orchestration Tooling: Build frameworks for multi-agent ...

dotSolved

US - Business Systems Analyst

Pleasanton, CA · On-site

$120K/yr

... Management (CM), as well as Project Portfolio Management modules. • Work with clients and ... user needs and recommend system and process improvements. • Support financial processes ...

AGE Solutions

Systems Engineer

Tracy, CA · On-site

$10/hr

Produce technical reports on storage management practices and emerging technologies; recommend system enhancements, configuration changes, and optimization strategies to improve performance and ...

AGE Solutions LLC

Systems Engineer

Tracy, CA · On-site

... management practices and emerging technologies; recommend system enhancements, configuration changes, and optimization strategies to improve performance and efficiency. • Support Storage Array ...

AGE Solutions LLC

Systems Engineer

Tracy, CA · On-site

... management practices and emerging technologies; recommend system enhancements, configuration changes, and optimization strategies to improve performance and efficiency. • Support Storage Array ...

AGE solutions

Systems Engineer

Tracy, CA · Hybrid

$10/hr

Produce technical reports on storage management practices and emerging technologies; recommend system enhancements, configuration changes, and optimization strategies to improve performance and ...

Namely

Senior Al Engineer - India

Mountain View, CA · On-site

$120 - $160/hr

... language models, recommender systems, and other AI solutions enhance the workplace ... lowest‑latency model (managed services vs. self‑hosted) based on intent and token volume.

Chipton Ross

Supply Chain Systems Staff

El Segundo, CA · On-site

$67.87/hr

Must possess time management and project management skills POSITION RESPONSIBILITIES * Analyzes and ... Analyzes supply chain business system applications, recommends systems enhancements and provides ...

previous page

Showing results 41-60

All JobsRecommender Systems JobsManager Recommender Systems JobsManager Recommender Systems Jobs in California

Manager Recommender Systems information

What is the difference between Manager Recommender Systems vs Data Scientist?

AspectManager Recommender SystemsData Scientist
CredentialsAdvanced degree in CS, ML, or related field; experience with recommender algorithmsDegree in CS, Statistics, or related; strong programming and analytical skills
Work EnvironmentLeading teams, overseeing recommender system projects, collaborating with product teamsAnalyzing data, building models, interpreting results across various domains
Industry UsageTech companies, e-commerce, streaming services

While both roles require strong technical skills and data expertise, Manager Recommender Systems focus on leading teams and managing recommender system projects, whereas Data Scientists primarily analyze data and develop models across diverse applications.

What are the key skills and qualifications needed to thrive as a manager recommender systems?

To thrive as a Manager, Recommender Systems, you need a solid background in computer science, machine learning, and data analytics, typically supported by a relevant degree and experience in building recommendation algorithms. Familiarity with programming languages like Python or Scala, machine learning frameworks, and big data platforms such as Spark or Hadoop is essential, along with knowledge of A/B testing and model evaluation techniques. Strong leadership, project management, and cross-functional communication skills distinguish top performers in this role. These skills ensure effective team guidance, robust system development, and alignment of technical solutions with business goals in a fast-evolving digital landscape.

What is a manager recommender systems?

A Manager of Recommender Systems is a professional who oversees the development and deployment of algorithms that suggest products, services, or content to users based on their preferences and behavior. They lead teams of data scientists, engineers, and analysts to design, implement, and optimize recommendation engines. Their role involves strategic planning, project management, and ensuring that the recommender systems align with business goals while delivering a personalized user experience.

How does a manager recommender systems typically collaborate with data scientists and engineers to deliver effective recommendation solutions?

As a Manager of Recommender Systems, you will frequently coordinate cross-functional efforts between data scientists, machine learning engineers, and product teams. Your role involves setting project priorities, facilitating communication to ensure clear understanding of objectives, and removing roadblocks that may impede progress. You’ll also oversee the translation of business requirements into technical solutions, review algorithm performance, and guide the team in iterative model improvements. Regular collaboration ensures that the recommendations delivered align with both user needs and business goals.

What are the most commonly searched types of Recommender Systems jobs in California?

The most popular types of Recommender Systems jobs in California are:

What are popular job titles related to Manager Recommender Systems jobs in California?

For Manager Recommender Systems jobs in California, the most frequently searched job titles are:

What job categories do people searching Manager Recommender Systems jobs in California look for?

The top searched job categories for Manager Recommender Systems jobs in California are:

What cities in California are hiring for Manager Recommender Systems jobs?

Cities in California with the most Manager Recommender Systems job openings:

Manager Recommender Systems jobs near you

Staff Machine Learning Engineer, Recommendation & AI Platform

NewsBreak

Mountain View, CA • On-site

$230K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 hours ago

Job description

About NewsBreak
Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.
Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.
Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.
If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you! For more information, visit www.newsbreak.com/about
About the Role
We are seeking a Staff Machine Learning Engineer to provide technical leadership for our recommendation systems and AI initiatives.
In this role, you will define technical direction for large-scale personalization systems, lead complex projects across teams, and drive the adoption of AI / LLM technologies in both product capabilities and engineering workflows.
This role is ideal for engineers who enjoy system-level thinking, mentoring others, and turning ambiguous problems into scalable solutions.
What You'll Work On
Technical Leadership & Architecture
  • Lead the design of next-generation recommendation system architectures at scale.
  • Drive best practices for model lifecycle management, experimentation, and system reliability.
  • Partner with product, infra, and data teams to align technical strategy with business goals.

Advanced Recommendation & AI Systems
  • Own complex initiatives across retrieval, ranking, re-ranking, and multi-objective optimization.
  • Lead the application of LLMs and foundation models in recommendation, content intelligence, and user modeling.
  • Evaluate emerging AI technologies and guide their adoption into production systems.

AI-Native Engineering
  • Champion AI-native development practices, including LLM-assisted coding, experimentation, and analysis.
  • Help establish standards and shared tooling for AI-driven engineering.

0 → 1 Innovation & Scaling
  • Lead 0-1 AI initiatives, from ideation and technical validation to production rollout and scaling.
  • Ensure successful prototypes evolve into maintainable, scalable platforms.

What We're Looking For
Minimum Qualifications - 8+ years of industry experience building large-scale ML or recommendation systems. - Deep expertise in recommendation systems and applied machine learning in production environments. - Strong system design skills and the ability to influence architecture across teams. - Proven track record of technical leadership and cross-team collaboration.
Bonus / Plus Qualifications - Demonstrated success applying LLMs or foundation models to recommendation or content systems in production. - Experience leading 0 → 1 AI platform or product initiatives. - Passion for improving engineering velocity through AI-assisted development workflows.
Benefits
We offer a competitive benefits package:
  • Health, dental, and vision care for you and your family
  • Top-tier 401(K) plan with company matching
  • Paid time off and paid holidays
  • Paid parental leave
  • FSA and commuter benefits programs
  • Team activity budget

The US base salary range for this full-time position is listed below. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process.
Annual Base Pay Range
$230,000-$300,000 USD
CPRA Privacy Notice for California Candidates

Apply