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Machine Learning Specialist Jobs in California (NOW HIRING)

EchoTwin AI

Prognostics Engineer

San Francisco, CA · On-site

Preferred : • A PhD is a plus. • Certification in relevant areas (e.g., Certified Reliability Engineer, Machine Learning Specialist). Company : The Physical AI Operating System for Real-Time ...

Capgroup

Senior Machine Learning Engineer

Irvine, CA

$131K - $173K/yr

... Machine Learning Engineer at Capital Group" We are looking for someone who can take a vague ... specialists to the teams behind portfolio and order management. Each partner brings its own data ...

Capgroup

Senior Machine Learning Engineer

Los Angeles, CA · On-site

$132K - $174K/yr

... Machine Learning Engineer at Capital Group" We are looking for someone who can take a vague ... specialists to the teams behind portfolio and order management. Each partner brings its own data ...

Capital Group

Senior Machine Learning Engineer

Los Angeles, CA · On-site

$132K - $174K/yr

... Machine Learning Engineer at Capital Group" We are looking for someone who can take a vague ... specialists to the teams behind portfolio and order management. Each partner brings its own data ...

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Showing results 21-40

All JobsMachine Learning Specialist JobsMachine Learning Specialist Jobs in California

Machine Learning Specialist information

See California salary details

$20.2K

$53.2K

$95.7K

How much do machine learning specialist jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning specialist in California is $53,219.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $59,700.00 per year, depending on experience, location, and employer.

What is a machine learning specialist?

A Machine Learning Specialist is a professional who designs, develops, and implements machine learning models and algorithms to solve complex problems. They work with large datasets, use statistical and computational techniques, and optimize models for accuracy and efficiency. Their role often involves data preprocessing, feature engineering, model selection, and deployment. They collaborate with data scientists, software engineers, and domain experts to integrate machine learning solutions into business applications.

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

To thrive as a Machine Learning Specialist, you need a strong background in mathematics, programming (Python, R), and data analysis, typically supported by a relevant degree in computer science or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and knowledge of cloud platforms like AWS or Azure is highly valued, and certifications in these can enhance your qualifications. Strong problem-solving skills, curiosity, and the ability to communicate complex concepts clearly make someone stand out in this field. These skills and qualifications are crucial for effectively developing, deploying, and explaining machine learning solutions to diverse stakeholders.

What are some common challenges a machine learning specialist might face?

Machine Learning Specialists often encounter challenges such as ensuring data quality, selecting appropriate algorithms, and scaling solutions for real-world application. Navigating the complexities of messy or incomplete datasets and tuning models for optimal performance can be demanding. Balancing innovation with practical deployment constraints, such as computational resources and integration with existing systems, is also common. To address these challenges, collaboration with data engineers, domain experts, and product teams is essential, and ongoing professional development helps specialists stay ahead in this rapidly evolving field.

Is machine learning a high paying job?

Machine learning specialists typically earn high salaries due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary by experience, location, and industry, but overall, the role is considered well-compensated within the tech field.

What are popular job titles related to Machine Learning Specialist jobs in California?

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

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

The top searched job categories for Machine Learning Specialist jobs in California are:

Machine Learning Specialist jobs near you
Infographic showing various Machine Learning Specialist job openings in California as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $53,219 per year, or $25.6 per hour.

Video Codec Machine Learning Engineer, Audio & Media Technologies

Apple

San Diego, CA • On-site

Full-time

Re-posted 26 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Imagine the possibilities that await you here! At Apple, bold ideas rapidly transform
into groundbreaking products, services, and customer experiences that shape the
world. Are you someone who brings passion, dedication, and a drive to push bound-
aries? If so, we want to hear from you. We are seeking exceptional talent to join us in
defining the future of video. Our team is at the forefront of crafting the next genera-
tion video codec that will redefine the industry landscape and set new standards for
how the world experiences video. This is your opportunity to make a lasting impact
on both Apple's ecosystem and the broader industry as a whole. Driven by this mis-
sion, our team develops cutting-edge video coding, processing, machine learning,
and systems engineering technologies that power intelligent and immersive video
experiences across Apple's iconic products and platforms, including Photos, Cam-
era, Spotlight, FaceTime, AirPlay, Sidecar, and Apple TV. You will collaborate with a
team of highly driven and talented specialists, working together to turn visionary
codec innovations into transformative technologies that reach and inspire millions of
people every day.
Description
This position is ideal for a highly self-motivated and visionary individual with a deep passion for pushing the boundaries of video coding, machine learning, and AI-driven video technologies.
Minimum Qualifications
A Ph.D degree in Electrical Engineering or Computer Science is required.
Deep Expertise in Video and Image Coding: Comprehensive mastery of video and image coding principles, algorithms, and techniques, with a strong foundation in both classical and ML-driven approaches.
Proficiency in Video Coding Standards: In-depth hands-on experience with industry-leading video coding standards, including H.264/AVC, H.265/HEVC,
AV1, H.266/VVC, and the emerging AV2, with a keen interest in how machine learning is revolutionizing these standards.
Strong Software Engineering Skills: Excellent software design, development,
and debugging skills with proficiency in C/C++, complemented by experience in
ML frameworks such as PyTorch or TensorFlow.
Preferred Qualifications
Machine Learning and AI Fluency: Strong understanding and practical experience in applying machine learning, deep learning, and generative AI techniques to video and image processing, coding, and computer vision challenges. Experience with ML-based codec design, neural video compression, or AI-powered video enhancement is highly valued
Visionary and Innovative Mindset: Passion for staying at the cutting edge of machine learning, generative video technologies, and computer vision, with the ability to translate emerging research into real-world product impact
Leadership and Collaboration: Proven experience in leading teams and driving complex projects from concept to completion, with strong written and verbal communication skills to effectively influence and inspire across cross-functional teams.

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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