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Senior Machine Learning Software Engineer Jobs in San Jose, CA

Intuit

Senior Machine Learning Engineer

Mountain View, CA · On-site

$171K - $231K/yr

Senior Machine Learning Engineer Join a vibrant team of machine learning engineers helping conceive ... Software engineering fundamentals: version control (Git/GitHub); ability to write production-ready ...

Intuit

Senior Machine Learning Engineer

Mountain View, CA

$171K - $231K/yr

Overview Senior Machine Learning Engineer Join a vibrant team of machine learning engineers helping ... Software engineering fundamentals: version control (Git/GitHub); ability to write production-ready ...

Intuit

Senior Machine Learning Engineer

Mountain View, CA · On-site

$171K - $231K/yr

Senior Machine Learning Engineer Join a vibrant team of machine learning engineers helping conceive ... Software engineering fundamentals: version control (Git/GitHub); ability to write production-ready ...

Jobzhr

Senior Machine Learning Engineer

San Francisco, CA · On-site

$196 - $265/hr

Senior Machine Learning Engineer At EvenUp, we leverage cutting-edge AI to bring fairness and ... Strong software engineering fundamentals - Python, distributed systems, API design. * Experience ...

EvenUp

Senior Machine Learning Engineer

San Francisco, CA · Remote

$196K - $265K/yr

Senior Machine Learning Engineer At EvenUp, we leverage cutting-edge AI to bring fairness and ... Strong software engineering fundamentals - Python, distributed systems, API design. * Experience ...

SAP

Senior Machine Learning Engineer

Palo Alto, CA · On-site

$140K - $185K/yr

As a Senior Machine Learning Engineer on this team you will be responsible for helping to design ... Required: • Masters of science degree in Software Engineering. • Experience in designing ...

SAP SE

Senior Machine Learning Engineer

Palo Alto, CA · On-site

$149 - $306/hr

As a Senior Machine Learning Engineer on this team you will be responsible for helping to design ... Required: * Masters of science degree in Software Engineering. * Experience in designing ...

MrBeast

Senior Machine Learning Engineer

San Mateo, CA · On-site

$270K - $338K/yr

Senior Machine Learning Engineer Primary: Bay Area (San Francisco / Peninsula) | Secondary: NYC The ... Partner with product, data scientists, and software engineers to define and ship ML solutions.

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Senior Machine Learning Software Engineer information

See San Jose, CA salary details

$88.5K

$167.9K

$225K

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

As of Sep 5, 2026, the average yearly pay for senior machine learning software engineer in San Jose, CA is $167,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,600.00 and $189,300.00 per year, depending on experience, location, and employer.

What is a senior machine learning software engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

What are some common challenges senior machine learning software engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.

What are the key skills and qualifications needed to thrive as a senior machine learning software engineer, and why are they important?

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

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

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

What are the most commonly searched types of Machine Learning Software Engineer jobs in San Jose, CA?

The most popular types of Machine Learning Software Engineer jobs in San Jose, CA are:

What are popular job titles related to Senior Machine Learning Software Engineer jobs in San Jose, CA?

For Senior Machine Learning Software Engineer jobs in San Jose, CA, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Software Engineer jobs in San Jose, CA look for?

The top searched job categories for Senior Machine Learning Software Engineer jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Senior Machine Learning Software Engineer jobs?

Cities near San Jose, CA with the most Senior Machine Learning Software Engineer job openings:

Senior Machine Learning Software Engineer jobs near you
Infographic showing various Senior Machine Learning Software Engineer job openings in San Jose, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $167,936 per year, or $80.7 per hour.

Senior Machine Learning Engineer

Intuit

Mountain View, CA • On-site

$171K - $231K/yr

Full-time

Re-posted 13 days ago

Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

105th of 247 rated software companies

Job description

Senior Machine Learning Engineer
Join a vibrant team of machine learning engineers helping conceive, code, and deploy AI science models at scale using the latest industry tools. As a Senior engineer, you deliver durable solutions and independently manage complex or multiple features, beginning to influence team processes.
What You'll Do
You own the technical outcomes of your projects and their operational excellence, shaping architectural decisions and ensuring your code is suited for scaling and rapid iteration.
Responsibilities
Technical Skills & Engineering
  • Lead technical design of complex ML features and systems, make sound architectural decisions, and provide effective documentation.
  • Create durable technical examples and drive best-practices adoption, including testing and observability, documenting reusable patterns for work built alongside AI agents.
  • Solve complex, ambiguous technical bugs that may require reaching outside your team for knowledge and resources.
  • Stay fluent in modern AI-assisted development practices; lead technology and design evaluation and adoption.
  • Design and refine ML features and pipelines with data scientists across the ML lifecycle.

Execution & Delivery
  • Provide accurate estimates for projects, considering technical risks, team capacity, and the quality of AI-generated code.
  • Eliminate systematic roadblocks through cross-functional influence, maintaining quality standards throughout the development cycle.
  • Take full responsibility for successfully delivering major features or projects, managing risks and keeping stakeholders informed.
  • Run and interpret A/B tests and statistical analyses to determine model and feature impact.

Customer Impact
  • Collect customer feedback, usage, and product data to reach a deep understanding of customer workflows, using data to influence product direction.
  • Partner with Product and Design to shape priorities based on real customer behavior and business goals.
  • Define success at the outset, track adoption and impact, and drive post-launch iterations.

Collaboration & Team Growth
  • Share feedback with team members on best practices, helping teammates work more effectively and take on larger work.
  • Resolve ambiguities and provide clarity to team members, documenting what works so standards travel across the team.
  • Work cross-functionally with product managers, data/AI scientists, and product engineers.

Qualifications
  • BS, MS, or PhD in Computer Science or related field, or equivalent practical experience.
  • 5+ years of experience.
  • Knowledgeable with data science/AI tools and frameworks (Python, Scikit-learn, NLTK, NumPy, Pandas, TensorFlow, Keras, R, Spark).
  • Solid understanding of ML techniques (classification, regression, clustering) and ML principles.
  • Computer science fundamentals: data structures, algorithms, performance complexity, and computer architecture.
  • Software engineering fundamentals: version control (Git/GitHub); ability to write production-ready code.
  • Experience deploying highly scalable software supporting millions or more users; GPU acceleration (CUDA, cuDNN) and cloud (AWS, GCP) experience.
  • Strong oral and written communication skills; able to explain complex material to non-technical audiences.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
Mountain View $171,000 - $231,500
San Diego, CA $154,000- $208,500

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