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Artificial Intelligence Machine Learning Engineer Jobs in Pleasanton, CA

MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Safety, Computer Vision ... programing languages such as: Python, Go, Java, C/C++ BS in Computer Science, Artificial ...

MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Safety, Computer Vision ... programing languages such as: Python, Go, Java, C/C++ BS in Computer Science, Artificial ...

Required : • Strong academic background in computer science, artificial intelligence, machine learning, or related fields. • 3+ years of experience in applied machine learning or ML engineering ...

Required : • Strong academic background in computer science, artificial intelligence, machine learning, or related fields. • 3+ years of experience in applied machine learning or ML engineering ...

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

Minimum Qualifications Bachelors in Computer Science, Artificial Intelligence, Machine Learning ... tasks and engineering tasks Proficient in at least two programming languages such as: C/C++, Go ...

About the Role We're hiring our first Machine Learning Engineer in the United States, a ... Strong academic background in computer science, artificial intelligence, machine learning, or ...

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Artificial Intelligence Machine Learning Engineer information

See Pleasanton, CA salary details

$35.1K

$143.3K

$215.3K

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

As of Aug 24, 2026, the average yearly pay for artificial intelligence machine learning engineer in Pleasanton, CA is $143,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $172,500.00 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 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 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 popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Pleasanton, CA?

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

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

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

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

Cities near Pleasanton, CA with the most Artificial Intelligence Machine Learning Engineer job openings:

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Pleasanton, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $143,307 per year, or $68.9 per hour.

Sr. Machine Learning Engineer

Apple

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Re-posted 13 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

Do you want to make Siri and Apple products safer for our users? The Siri and Information Intelligence team
is redefining how hundreds of millions of people use their devices to get information. We are an Applied ML team pushing the limits on realtime augmented information retrieval and generation, information safety and search technologies, while also responsible for a few user facing production services. We are part of a wider effort to power information across a variety of Apple products - including Siri, Spotlight, Safari, Messages, Lookup, and more. We are deeply committed to ensuring that our platform remains a safe, welcoming, and trustworthy environment for everyone.
Description
We are looking for a highly skilled Machine Learning Engineer to join our Search Safety team. In this role, you will build and deploy state-of-the-art machine learning models designed to detect, demote, and filter harmful, abusive, or policy-violating content across our search ecosystem. You will work at the intersection of Search, Natural Language Processing (NLP), Image and Trust & Safety, addressing complex challenges like query intent understanding, adversarial evasion, jailbreaking, and multimodal content filtering. If you are passionate about protecting users and building robust ML systems at scale, we want you on our team.
Minimum Qualifications
3+ years of industry related experience, working in collaborative environments
Experience with utilizing PyTorch, TensorFlow, or JAX for training and deploying deep learning models
Understanding product requirements then translating them into modeling tasks and engineering tasks
Proficient in at least two programing languages such as: Python, Go, Java, C/C++
BS in Computer Science, Artificial Intelligence, Machine Learning, Safety, Computer Vision or related field or equivalent work experience
Preferred Qualifications
Experience working on content moderation, spam detection, fraud, or Trust & Safety ML teams.
Experience in red-teaming, adversarial training, or robustness evaluation of ML models.
Building machine-learned models and integrating safety signals directly into the search ranking and retrieval pipelines, balancing safety constraints with search relevance and user engagement.
MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Safety, Computer Vision or related fieldor equivalent work experience

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