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Machine Learning Engineer Software Engineer Jobs in California

Strong foundation in machine learning and software engineering * Track record of building and owning ML systems in production where performance, reliability, or correctness materially mattered

... Learning Engineer to develop machine learning models and algorithms. The role involves ... Adobe is a software company that provides its users with digital marketing and media solutions.

By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how ... As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ...

Machine Learning Engineer

Los Angeles, CA · On-site

$160K - $250K/yr

By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how ... As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ...

Sr Machine Learning Engineer

San Diego, CA · On-site

$112.10K - $154K/yr

This role requires deep technical expertise in modern machine learning methods, distributed systems, cloud-native development, and software engineering best practices. The Senior ML Engineer will ...

As a key player in our innovative team, you will collaborate closely with hardware, software, and ... As a Machine Learning Engineer in the Camera Hardware Engineering group you will be responsible for ...

Our direct client is hiring a Machine Learning Engineer for their software machine learning and computer vision team to design, develop, and implement critical machine learning models supporting ...

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144.30K - $190.30K/yr

About the Role Machine Learning is a cornerstone at Taskrabbit, and we're looking for a seasoned ... Software Engineering Excellence: Independently solve complex problems, write clean, efficient, and ...

Senior Machine Learning Engineer

San Francisco, CA

$144.30K - $190.30K/yr

About the Role Machine Learning is a cornerstone at Taskrabbit, and we're looking for a seasoned ... Software Engineering Excellence: Independently solve complex problems, write clean, efficient, and ...

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Machine Learning Engineer Software Engineer information

How do Machine Learning Engineer Software Engineers typically collaborate with data scientists and software development teams?

Machine Learning Engineer Software Engineers often serve as a bridge between data scientists and software development teams. They work closely with data scientists to understand and implement machine learning models, ensuring that the models are production-ready and scalable. Additionally, they collaborate with software engineers to integrate these models into existing applications, monitor their performance, and address any engineering challenges. This cross-functional collaboration is essential for delivering robust, end-to-end AI solutions that add real value to the business.

What is the difference between Machine Learning Engineer Software Engineer vs Data Scientist?

AspectMachine Learning EngineerSoftware Engineer
Required CredentialsBachelor's/Master's in CS, specialized ML coursesBachelor's in CS or related field
Work EnvironmentDevelops ML models, algorithms, data pipelinesBuilds software applications, systems, APIs
Industry UsageAI/ML projects, data-driven solutionsWeb, mobile, enterprise software

Machine Learning Engineers focus on designing and deploying ML models, requiring expertise in algorithms and data handling. Software Engineers develop broader software applications, emphasizing coding and system architecture. While both roles require programming skills, ML Engineers specialize in AI/ML tasks, whereas Software Engineers work across various software domains.

What job categories do people searching Machine Learning Engineer Software Engineer jobs in California look for? The top searched job categories for Machine Learning Engineer Software Engineer jobs in California are:
What cities in California are hiring for Machine Learning Engineer Software Engineer jobs? Cities in California with the most Machine Learning Engineer Software Engineer job openings:
Infographic showing various Machine Learning Engineer Software Engineer job openings in California as of May 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution.
Machine Learning Engineer - Health AIML

Machine Learning Engineer - Health AIML

Apple

Cupertino, CA • On-site

Full-time

Posted 23 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives.
In this role, you will use your skills and experience in software engineering, machine learning, deep learning, and generative AI to design, implement, tune, and evaluate machine learning models and systems. You will solve ambitious problems involving unique data and high-impact products, including state-of-the-art generative AI technologies. The successful candidate should possess excellent interpersonal skills and the ability to work cross-functionally to rapidly apply engineering best practices and novel research techniques at the intersection of Health, ML, and consumer products.
7+ years of professional experience, either in industry or academia.Experience leading a team and/or a proven track record of cross-functional collaboration to deliver systems with machine learning capabilities.BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, Bioinformatics, or related fields (or equivalent qualification).
Ph.D. in Computer Science, Machine Learning, Bioinformatics, or a related field.Strong background in generative models, natural language processing (NLP), and large language models (LLMs).5+ years of hands-on experience in state-of-the-art machine learning and deep learning applied to large-scale datasets and/or production applications.

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