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Machine Learning Manager Jobs in California (NOW HIRING)

The role involves deploying client models, managing data pipelines, and building chatbots using ... machine learning principles, especially in the context of LLMs. • Experience building chatbots ...

Responsibilities : • Develop, optimize, and deploy lightweight machine learning models for edge ... managed IT services. Founded in 2017, the company is headquartered in Boulder, USA, with a team of ...

... data management and accuracy. * In both theoretical development environments and specific product ... Adapts machine learning to areas such as virtual reality, augmented reality, artificial ...

Partner with ML engineers, product managers, data scientists, and software engineers to align ML ... machine learning modeling or related fields * Experience with deep learning technologies for ...

TikTok Product Manager, Privacy‑Preserving Machine Learning San Jose Regular Product Commercial product (ads) Job ID: A03013 Why Join Us Creation is the core of TikTok's purpose. Our platform is ...

Partner with ML engineers, product managers, data scientists, and software engineers to align ML ... machine learning modeling or related fields * Experience with deep learning technologies for ...

Job Title Machine Learning Engineer Job ID 20985 Location Work Mode Onsite About the Team Our ML ... Additionally, we run a quarterly spot-bonus programme where managers can recognise exceptional ...

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Machine Learning Manager information

See California salary details

$50.3K

$80.6K

$116.5K

How much do machine learning manager jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning manager in California is $80,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $91,300.00 per year, depending on experience, location, and employer.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.

What are the key skills and qualifications needed to thrive as a machine learning manager?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

What are the most commonly searched types of Machine Learning jobs in California?

The most popular types of Machine Learning jobs in California are:

What cities in California are hiring for Machine Learning Manager jobs?

Cities in California with the most Machine Learning Manager job openings:

Infographic showing various Machine Learning Manager job openings in California as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $80,639 per year, or $38.8 per hour.

Machine Learning

Cupertino, CA • On-site

Syntricate Technologies
IT Services • 51 - 200 employees

Full-time

Re-posted 12 days ago


Job description

Job Summary:
Syntricate Technologies is looking for a Machine Learning expert with a strong background in client engineering and natural language processing. The role involves deploying client models, managing data pipelines, and building chatbots using large language models (LLMs).
Responsibilities:
• 12+ years of experience in Client Engineering with experience in NLP Experience in deploying Client models
• Strong understanding of machine learning principles, especially in the context of LLMs.
• Experience building chatbots using LLM's· Managing Data pipeline/Transforms·
• Experience in Data injestion and Data Visualisation through Tableau or related tools.
• Experience with Data Robot is recommended
• Strong verbal and written communications skills with the ability to work effectively across internal and external organizations and virtual teams.
• 10 & Above Years
Qualifications:
Required:
• 12+ years of experience in Client Engineering with experience in NLP Experience in deploying Client models
• Strong understanding of machine learning principles, especially in the context of LLMs.
• Experience building chatbots using LLM's· Managing Data pipeline/Transforms·
• Experience in Data ingestion and Data Visualisation through Tableau or related tools.
• Experience with Data Robot is recommended
• Strong verbal and written communications skills with the ability to work effectively across internal and external organizations and virtual teams.
• 10 & Above Years
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.