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Machine Learning Manager Jobs in California (NOW HIRING)

Kanz

Machine Learning Managers (San Jose)

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 Why Join Us Creation is the core of TikTok's purpose. Our platform is ...

EarnIn

Head of Machine Learning

Mountain View, CA · Hybrid

$477K - $583K/yr

As a fintech company where data and machine learning (ML) is integral to both our business strategy ... Collaborate with software engineers, data engineers, product managers, and marketing to coordinate ...

Velo3D

Machine Learning Engineer

Fremont, CA

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Help define data collection and management: Partner with process and software teams to improve how ...

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Help define data collection and management: Partner with process and software teams to improve how ...

Velo3D

Machine Learning Engineer

Fremont, CA

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Help define data collection and management: Partner with process and software teams to improve how ...

Motorola

Machine Learning Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

Manage inputs gathered from unusual sources, including captures from software defined radio (SDR ... Stay current with the latest machine learning research for wireless and embedded systems, applying ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site +1

$187K - $220K/yr

Design and implement front-end software for web-based data management applications. Design and ... Develop machine learning models to analyze the distribution of computer vision data. Develop data ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

Collaborate with product management and engineering groups to develop new products and features ... Good understanding of machine learning, deep learning, or data analytics concepts. * Excellent ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site

$187K - $220K/yr

Design and implement front-end software for web-based data management applications. Design and ... Develop machine learning models to analyze the distribution of computer vision data. Develop data ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

Collaborate with product management and engineering groups to develop new products and features ... Good understanding of machine learning, deep learning, or data analytics concepts. * Excellent ...

Apple

Machine Learning Engineer

Cupertino, CA

$150K - $225K/yr

Join our Global Sourcing & Supply Management (GSSM) Solutions team as a key player in revolutionizing our supply chain. As a Machine Learning Engineer on our core AI/ML team, you will design and ...

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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 Jul 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

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.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

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.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

What are Machine Learning Managers?

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 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 July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 2% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $80,639 per year, or $38.8 per hour.
Machine Learning Manager, Data for Foundation Models - SIML

Machine Learning Manager, Data for Foundation Models - SIML

Apple

Cupertino, CA • On-site

Full-time

Posted 18 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 667 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

Do you believe that generative models can fundamentally change how people interact with devices? Are you excited by the possibility of connecting people to unprecedented levels of creativity? Come join the team that turned cutting edge Generative AI research into compelling user experiences through Apple Intelligence.
We are part of the Intelligent System Experiences team at Apple and work on the core modeling technology behind Genmoji, Image Playground and Image Wand. From web-scale datasets to distributed training of foundation models, application specific adapters to on-device optimizations, you will have the unique opportunity to advance and ship state-of-the-art technology that impacts Apple users around the world!
Description
We are seeking an experienced Machine Learning Manager to lead a team of ML engineers focused on building new capabilities and delivering step-change quality improvements for our Visual Generation foundation models. The ideal candidate brings a proven blend of strategic thinking and product focus to solving deep technical research problems, specifically around driving data excellence for foundation model training. Typical projects involve leveraging billion-scale datasets, applying machine learning models to enrich data, and executing quality-focused data curation strategies.
In this role, you will work closely with cross-functional partners, including ML research, modeling, policy, and responsible AI teams, to maintain the highest standards of execution and safety. You will stay at the forefront of the latest AI research to rapidly apply impactful developments while simultaneously pioneering proprietary, experimental ideas designed specifically for Apple's unique ecosystem.
Minimum Qualifications
M.S. or PhD in Computer Science or a related field such as Electrical Engineering, Robotics, Statistics, Applied Mathematics, or equivalent experience
3+ years of experience as an ML Manager, leading teams through modern computer vision and generative AI research
Experience managing cross-functional projects, connecting initiatives to engineers' interests, and helping engineers grow through mentorship and empathy
8+ years of experience training state-of-the-art generative or understanding models
Proficiency in ML frameworks and distributed data processing pipelines as a hands on technical leader
Excellent communication skills and an ability to drive clarity in ambiguous circumstances
Preferred Qualifications
Prior hands-on research experience working with data and building models
Recent projects and experience with modern visual generative AI for images or videos
Track record of strong industrial research, including delivery of complex projects or publications in top-tier venues

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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