ZipRecruiter

Log In

1

Machine Learning Engineer Software Engineer Jobs in San Jose, CA

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site

$165K/yr

Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role: We are ...

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

... and software engineers to integrate models into production systems • Stay updated with the latest advancements in AI and machine learning • Ensure the ethical use of AI technologies ...

Altera Corporation

Machine Learning Engineer

San Jose, CA · On-site

$200K - $290K/yr

With a renewed focus on agility, software first usability, and hardware accelerated innovation ... About the Role We are seeking a Machine Learning Engineer to help drive the development ...

New

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

... and software engineers to integrate models into production systems • Stay updated with the latest advancements in AI and machine learning • Ensure the ethical use of AI technologies ...

Latent

Machine Learning Engineer

San Francisco, CA · On-site

$225K - $300K/yr

Strong foundation in machine learning and software engineering * Track record of building and owning ML systems in production where performance, reliability, or correctness materially mattered

Apple

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

As such, we are seeking candidates with applied machine learning experience and strong software engineering skills. Description Leverage and enhance the latest advancements in machine learning and ...

Quantcast

Machine Learning Engineer

San Francisco, CA · On-site

$151.30 - $178/hr

As a Machine Learning Engineer you care about the health and maintainability of our systems and the ... An interest in distributed system and software design, concurrent algorithms, data structures, and ...

New

Altera

Machine Learning Engineer

San Jose, CA

About the Role We are seeking a Machine Learning Engineer to help drive the development ... You will collaborate closely with hardware architects, software engineers, and IP developers to ...

New

previous pagenext page

Showing results 21-40

All JobsMachine Learning Engineer Software Engineer JobsMachine Learning Engineer Software Engineer Jobs in San Jose, CA

Machine Learning Engineer Software Engineer information

See San Jose, CA salary details

$74.4K

$172.9K

$240.8K

How much do machine learning engineer software engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning engineer software engineer in San Jose, CA is $172,896.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,600.00 and $202,800.00 per year, depending on experience, location, and employer.

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

AspectMachine Learning EngineerSoftware Engineer
Required CredentialsBachelor's/Master's in CS, specialized ML coursesBachelor's in CS or related field
Work EnvironmentDevelops ML models, algorithms, data pipelinesBuilds software applications, systems, APIs
Industry UsageAI/ML projects, data-driven solutionsWeb, mobile, enterprise software

Machine Learning Engineers focus on designing and deploying ML models, requiring expertise in algorithms and data handling. Software Engineers develop broader software applications, emphasizing coding and system architecture. While both roles require programming skills, ML Engineers specialize in AI/ML tasks, whereas Software Engineers work across various software domains.

How do machine learning engineer software engineers typically collaborate with data scientists and software development teams?

Machine Learning Engineer Software Engineers often serve as a bridge between data scientists and software development teams. They work closely with data scientists to understand and implement machine learning models, ensuring that the models are production-ready and scalable. Additionally, they collaborate with software engineers to integrate these models into existing applications, monitor their performance, and address any engineering challenges. This cross-functional collaboration is essential for delivering robust, end-to-end AI solutions that add real value to the business.
What are popular job titles related to Machine Learning Engineer Software Engineer jobs in San Jose, CA? For Machine Learning Engineer Software Engineer jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Software Engineer jobs in San Jose, CA look for? The top searched job categories for Machine Learning Engineer Software Engineer jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Machine Learning Engineer Software Engineer jobs? Cities near San Jose, CA with the most Machine Learning Engineer Software Engineer job openings:
Machine Learning Engineer Software Engineer jobs near you
Infographic showing various Machine Learning Engineer Software Engineer job openings in San Jose, CA as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $172,896 per year, or $83.1 per hour.

Machine Learning Engineer

MBZUAI (Mohamed bin Zayed University of Artificial Intelligence)

Sunnyvale, CA • On-site

Full-time

Re-posted 15 days ago

Job description

Job Summary:
MBZUAI is a dedicated research lab for building, understanding, using, and risk-managing foundation models. As a Machine Learning Engineer, you will develop and implement innovative machine learning models, collaborate with cross-functional teams, and contribute to MBZUAI's mission of driving impactful AI discoveries.
Responsibilities:
• Collaborate with Research teams to understand technologies, adapting and integrating them into codebase.
• Develop and implement systems to support the lifecycle of machine learning models, such as data preprocessing, pre-training, post-training, evaluation and so on, especially foundation models.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Contribute to research papers and represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.
• Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.
Qualifications:
Required:
• Bachelor’s degree or equivalent practical experience.
• 3 years of experience in software engineering, including experience with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer Vision.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with data structures or algorithms in either an academic or industry setting.
• 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.
• Excellent problem-solving and troubleshooting skills to address complex technical challenges.
• Effective communication and collaboration skills to work with cross functional teams.
Preferred:
• Master's degree or PhD in Computer Science or related technical field.
• 2 years of experience with improving performance during large scale data processing.
• Hands-on experience with LLM algorithms, such as Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF).
• Excellent data analysis skills.
Company:
Official account of Mohamed bin Zayed University of Artificial Intelligence. Dedicated to research, innovation, and empowering brilliant minds in AI. Founded in 2019, the company is headquartered in Abu Dhabi, ARE, with a team of 51-200 employees. The company is currently Growth Stage.

Apply