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Artificial Intelligence Machine Learning Engineer Jobs in San Ramon, CA

... 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 ...

... 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 ...

Machine Learning Engineer

San Francisco, CA · On-site +1

$117K - $152K/yr

... product intelligence, machine learning pipelines, and business operations. As data volume and ... We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ...

We're hiring a Machine Learning Engineer as the volume and complexity of legal AI workflows in our ... We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools ...

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 ...

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 ...

Showing results 21-40

Artificial Intelligence Machine Learning Engineer information

See San Ramon, CA salary details

$35.2K

$143.9K

$216.2K

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

As of Aug 15, 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:

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $143,902 per year, or $69.2 per hour.

Machine Learning Engineer (Azure AIML) - Retail (Hybrid - San Francisco, CA)

Stage 4 Solutions Inc

San Francisco, CA • On-site

$55 - $60/hr

Contractor

Medical, Retirement

Posted 22 days ago


Job description

Machine Learning Engineer (Azure AIML) - Retail (Hybrid - San Francisco, CA)
 
We are seeking a Machine Learning Engineer to design, develop, deploy, and optimize machine learning solutions for one of our global retail clients. The ideal candidate will have strong expertise in supervised and unsupervised learning, deep learning, natural language processing (NLP), and modern MLOps practices. This role requires hands-on experience building scalable machine learning models and deploying them on Microsoft Azure.
 
This is a 40-hour per week, 6-month contract (possible extension), a hybrid role in San Francisco, CA.
 
This is a W2 role as a Stage 4 Solutions employee. Health benefits and a 401K are offered.
 
Responsibilities:
●    Design, develop, and optimize machine learning models using supervised and unsupervised learning techniques.
●    Build and implement deep learning models, including neural networks, for a variety of business use cases.
●    Develop NLP solutions for text classification, information extraction, semantic analysis, and other language-based applications.
●    Write production-quality code using Python, R, and SQL for data processing, model development, and analytics.
●    Develop, train, and deploy machine learning models using TensorFlow, Keras, and/or PyTorch.
●    Deploy and manage machine learning workloads within Microsoft Azure cloud environments.
●    Implement DevOps and MLOps best practices to automate model training, deployment, monitoring, and lifecycle management.
●    Collaborate with data scientists, software engineers, and business stakeholders to deliver scalable AI solutions.
●    Monitor model performance and continuously improve model accuracy, reliability, and efficiency.
●    Maintain technical documentation and ensure adherence to coding and deployment standards.
 
Requirements:
●    Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
●    5+ years of experience developing and deploying machine learning solutions.
●    Strong experience with supervised and unsupervised learning algorithms.
●    Hands-on experience with neural networks and Natural Language Processing (NLP).
●    Advanced programming experience using Python, R, and SQL.
●    Experience with machine learning frameworks including TensorFlow, Keras, and/or PyTorch.
●    Hands-on experience deploying machine learning solutions on Microsoft Azure.
●    Experience implementing DevOps and MLOps practices for model deployment and lifecycle management.
 
Please submit your resume to our network at https://www.stage4solutions.com/careers/ and apply to the Machine Learning Engineer (Azure AIML) - Retail (Hybrid - San Francisco, CA) role.
 
Please feel free to forward this opportunity to others who may be interested.
 
Stage 4 Solutions is an equal-opportunity employer. We celebrate diversity and are committed to providing employees with an inclusive environment that is free of discrimination and harassment. All employment decisions are based on job requirements and candidate qualifications, without regard to race, color, religion/belief, national origin, gender identity, age, disability, marital status, genetic information, or other legally protected characteristics.
 
Compensation: $55/hr. - $60/hr.
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