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Artificial Intelligence Machine Learning Engineer Jobs in Novato, CA

Hive

Senior Machine Learning Engineer

San Francisco, CA · On-site

$160K - $250K/yr

Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

... artificial intelligence/machine learning (AI/ML) systems in a cloud environment. The MLS team at ... The Senior Machine Learning Research Engineer will primarily be responsible for developing and ...

Hive

Senior Machine Learning Engineer

San Francisco, CA · On-site

$160K - $250K/yr

Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Hive

Staff Machine Learning Engineer

San Francisco, CA · On-site

$200K - $300K/yr

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Hive

Staff Machine Learning Engineer

San Francisco, CA · On-site

$200K - $300K/yr

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site

$147K - $194K/yr

... artificial intelligence/machine learning (AI/ML) systems in a cloud environment. The MLS team at ... The Senior Machine Learning Research Engineer will primarily be responsible for developing and ...

Human Archive

Machine Learning Engineer

San Francisco, CA · On-site

$100K - $150K/yr

Research into human physical intelligence - including the human hand, proprioception, and vision ... The Opportunity As a Machine Learning Engineer, you'll work on multimodal perception, VLA training ...

Adobe

Senior Machine Learning Engineer

San Francisco, CA · On-site

$172K - $306K/yr

... artificial intelligence to new heights. What You'll Do As a Senior Machine Learning Engineer on the ... Content Intelligence team, you will lead the development of ML models and systems, to assist with ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Novato, CA

Artificial Intelligence Machine Learning Engineer information

See Novato, CA salary details

$37K

$151.2K

$227.2K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for artificial intelligence machine learning engineer in Novato, CA is $151,183.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,200.00 and $182,000.00 per year, depending on experience, location, and employer.

What is an Artificial Intelligence Machine Learning Engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by Artificial Intelligence Machine Learning Engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

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

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Machine Learning Engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Novato, CA look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Novato, CA are:
What cities near Novato, CA are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities near Novato, CA with the most Artificial Intelligence Machine Learning Engineer job openings:
Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Novato, CA as of July 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $151,183 per year, or $72.7 per hour.
Senior Machine Learning Engineer (Search)

Senior Machine Learning Engineer (Search)

Apple

San Francisco, CA • On-site

$144K - $190K/yr

Full-time

Re-posted 2 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

Apple Maps and the thousands of applications it empowers are being used by millions every single day! As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging.
We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of opportunities to build groundbreaking technologies using Machine Learning and Generative AI at scale to improve the search quality for Apple Maps.
Description
The goal of Maps Search team is to take Apple's Maps to the next level of intelligence and accuracy using machine learning and artificial intelligence techniques. Engineers and scientists on our team work on a wide spectrum of approaches to improve search experiences on Apple Maps.
In this role, some of the projects you will contribute to include but are not limited to:
* Develop and optimize Machine Learning algorithms to handle key issues in local search: query understanding, intent modeling, ranking and semantic search
* Design and develop tools, processes and analytics for backend data-extraction pipelines - along with performing hands-on analyses to answer hard hypotheses/questions.
* Collaborate with various teams (e.g., infrastructure, quality, data) to develop exciting features and contribute towards our mission of best search experience to our end-users.
* Develop and mentor aspiring applied scientists / engineers to expand their scope and have a big impact. Be part of building a world class search team!
* Develop and optimize Machine Learning algorithms to handle key issues in local search: query understanding, intent modeling, ranking and semantic search
* Design and develop tools, processes and analytics for backend data-extraction pipelines - along with performing hands-on analyses to answer hard hypotheses/questions.
* Collaborate with various teams (e.g., infrastructure, quality, data) to develop exciting features and contribute towards our mission of best search experience to our end-users.
* Develop and mentor aspiring applied scientists / engineers to expand their scope and have a big impact. Be part of building a world class search team!
Minimum Qualifications
MS in computer science or equivalent field with 7+ years of industry experience
Proven record in delivering end-user facing Machine Learning driven products
Strong programming experience in one or more of the following: Java, C++, Python
Knowledge and experience with one of Tensorflow/Pytorch/Jax frameworks.
Excellent interpersonal and communication skills - working independently and/or in small teams
Attention to detail, data accuracy and quality of output.
Preferred Qualifications
Ph.D in computer science or equivalent field with 7+ years of industry experience.
Expertise and experience in various facets of machine learning and natural language processing, such as classification, feature engineering, information extraction, clustering, semi-supervised learning, topic modeling and ranking
Practical understanding of the mathematics behind modern machine learning, linear algebra and statistics.
Good knowledge of big data processing, prior experience with Hadoop, Spark, Hive is highly desired.
Proven expertise in applying Generative AI & Large Language Models (e.g., prompt engineering, model fine-tuning) to search or NLP tasks.
Prior experience in consumer facing product is desired.
Prior team lead experience is desired.

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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