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Artificial Intelligence Machine Learning Engineer Jobs in San Ramon, CA

Hive

Machine Learning Engineer

San Francisco, CA

$120K - $180K/yr

... machine learning engineers. We are looking for developers who are excited about staying at the ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

... machine learning engineers. We are looking for developers who are excited about staying at the ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in San Ramon, CA

Artificial Intelligence Machine Learning Engineer information

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$35.2K

$143.9K

$216.2K

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

As of Jul 24, 2026, the average yearly pay for artificial intelligence machine learning engineer in San Ramon, CA is $143,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $173,200.00 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 San Ramon, CA? For Artificial Intelligence Machine Learning Engineer jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in San Ramon, CA look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities near San Ramon, 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 San Ramon, CA as of July 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $143,902 per year, or $69.2 per hour.
Machine Learning Engineer, Integrity

Machine Learning Engineer, Integrity

OpenAI

San Francisco, CA • On-site

Full-time

Posted 19 days ago

Job description

Job Summary:
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. As a Machine Learning Engineer in OpenAI's Integrity team, you will design and deploy advanced machine learning models, collaborate with cross-functional teams, and optimize models to ensure they deliver value in maintaining platform integrity.
Responsibilities:
• Design and deploy advanced machine learning models that solve real-world problems.
• Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions.
• Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready.
• Engage with the latest developments in machine learning and AI, participate in code reviews, and share knowledge.
• Monitor and maintain deployed models to ensure they continue delivering value.
Qualifications:
Required:
• Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
• Demonstrated experience in deep learning and transformers models
• Proficiency in frameworks like PyTorch or Tensorflow
• Strong foundation in data structures, algorithms, and software engineering principles.
• Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
• Excellent problem-solving and analytical skills, with a proactive approach to challenges.
• Ability to work collaboratively with cross-functional teams.
• Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
• Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
Preferred:
• Experience with content understanding or abuse prevention with LLMs is a plus
Company:
OpenAI is an AI research and deployment company that develops advanced AI models, including ChatGPT. It is a sub-organization of OpenAI Foundation. Founded in 2015, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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