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Artificial Intelligence Machine Learning Engineer Jobs in Fairfield, CA

Alljoined

Machine Learning Researcher

San Francisco, CA · On-site

$140K - $250K/yr

  • Medical

D.) in computer science or a related field-such as artificial intelligence, computational neuroscience, or biomedical engineering-and at least three years of experience in machine learning research ...

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

Senior Machine Learning Engineer

San Francisco, CA

$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

$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 ...

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 ...

Qubeaxis

Machine Learning Engineer

San Francisco, CA · On-site

$130 - $180/hr

  • Medical

  • Dental

  • Vision

  • PTO

Job Title Machine Learning Engineer Job ID 20985 Location Work Mode Onsite About the Team Our ML Platform team builds intelligent systems that power recommendations, forecasting, ranking ...

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Artificial Intelligence Machine Learning Engineer information

See Fairfield, CA salary details

$32.1K

$131K

$196.9K

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

As of Aug 13, 2026, the average yearly pay for artificial intelligence machine learning engineer in Fairfield, CA is $131,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,300.00 and $157,700.00 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 are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Fairfield, CA?

For Artificial Intelligence Machine Learning Engineer jobs in Fairfield, CA, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Fairfield, CA look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Fairfield, CA are:

What cities near Fairfield, CA are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Fairfield, 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 Fairfield, CA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $131,047 per year, or $63 per hour.

Staff/Sr. Machine Learning Engineer, Foundation Models - AI, Search & Knowledge Platforms

Apple

San Francisco, CA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

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

We are Foundation Model Inference Team, within AI, Search & Knowledge Platform Technologies organization. Our team is responsible to build Inference stack to power Apple Intelligence. It builds frameworks, services and tools that power the largest Apple foundation models on servers. Our Infrastructure powers a wide gamut of services at Apple including Apple Search, Apple Music, AppleTV, AppStore, iMessages, Photos & Camera, Spotlight, Safari, Siri and upcoming ever exciting Apple products serving millions of queries every day with incredible low latencies, drawing every ounce of compute from our hardware. As part of this group, you will get a chance to bring Intelligence to billions of users across the world. You will have an opportunity to make difference in life of people by empowering them with AI. You will have a chance to work on optimizing billions of parameter langauge and vision and speech models using state of the art technologies and make it run at scale of Apple.
Description
Work along side Foundation Model Research team to optimize inference for cutting edge model architectures.
Work closely with product teams to build Production grade solutions to launch models serving millions of customers in real time.
Build tools to understand bottlenecks in Inference for different hardwares and use cases.
Mentor and guide engineers in the organization.
Minimum Qualifications
5+ years of experience leading and driving complex, ambiguous projects.
Experience with LLM inference stack
Familiarity with GPU programming concepts using CUDA.
Familiarity with one of the popular ML Frameworks like Pytorch, Tensorflow.
Have experience with high throughput services particularly at supercomputing scale.
Proficient with running applications on Cloud (AWS / Azure or equivalent) using Kubernetes, Docker etc.
Familiar with one of the popular ML Frameworks like Pytorch, Tensorflow.
BS in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field
Preferred Qualifications
Proficient in building and maintaining systems written in modern languages (eg: Golang, Python)
Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models.
Familiarity with Nvidia TensorRT-LLM, vLLM, DeepSpeed, Nvidia Triton Server etc.
Experience writing custom CUDA kernels using CUDA or OpenAI Triton.
MS in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field.

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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