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Machine Learning Manager Jobs in California (NOW HIRING)

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site

Manage MLOps infrastructure to monitor and optimize models. Qualifications Experience: * 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.

Jobs for Humanity

Machine Learning Managers

San Jose, CA · On-site

$149K - $311K/yr

Tiktok Product Manager, Privacy-Preserving Machine Learning San Jose Regular Product Commercial product (ads) Job ID: A03013 Responsibilities TikTok is the leading destination for short-form mobile ...

S27a

Machine Learning Engineer

San Francisco, CA · On-site

$140 - $210/hr

Utilize cloud computing platforms such as AWS and GCP to manage large-scale data processing and ... machine learning applications. Job Requirements: Requires a Master's degree in Computational ...

New

Apex Systems

Machine Learning Engineer

Pleasanton, CA · On-site

Manage the full lifecycle of machine learning models in a production setting. * Leverage MLOps concepts such as CI/CD for ML models, version control, monitoring, automation, and model retraining.

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

Our founders managed institutional capital at Capital Group ($3T AUM) and led enterprise ML at ... About the Role At Poesis, machine learning and artificial intelligence open the door to improved ...

Qubeaxis

Machine Learning Engineer

San Francisco, CA · On-site

$130 - $180/hr

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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All JobsMachine Learning JobsMachine Learning Manager JobsMachine Learning Manager Jobs in California

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 Aug 19, 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 are popular job titles related to Machine Learning Manager jobs in California?

For Machine Learning Manager jobs in California, the most frequently searched job titles are:

What job categories do people searching Machine Learning Manager jobs in California look for?

The top searched job categories for Machine Learning Manager 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:

Machine Learning Manager jobs near you
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 Engineer

Pattern AI

San Mateo, CA • On-site

Full-time

Re-posted 15 days ago

Job description

Company Description

PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems.

Job Description

We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics.

Responsibilities:

  • Build and deploy the ML pipelines that power PatternAI's machine learning platform.

  • Manage MLOps infrastructure to monitor and optimize models.

Qualifications

Experience:

  • 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.

  • Proficiency across topics in machine learning and statistics.

  • Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas)

  • Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras, Tensorflow, Pandas, and common ML cloud services.

  • Familiarity with CNNs, RNN, LSTMs, and the latest research trends.

  • Experience implementing, deploying, and maintaining production machine learning systems.

  • Experience monitoring and optimizing model performance.

  • Experience with Linux, Docker and AWS, and basic development operations.

  • Advanced degree in computer science, mathematics, statistics or related area of study strongly preferred.

Additional Information

About PatternAI

PatternAI is an early stage startup that is growing rapidly and recently closed a successful round of venture funding. We are emerging from stealth and with an exciting series of machine learning products and a rapidly growing number of enterprise customers.

All your information will be kept confidential according to EEO guidelines.

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