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Staff Machine Learning Engineer Jobs in California

Omnissa

Staff Machine Learning Engineer

Mountain View, CA · On-site

$162K - $342K/yr

As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems that power predictive analytics, personalization, automation, and intelligent platform behaviors.

Intuit

Staff Machine Learning Engineer

Mountain View, CA · On-site

$197K - $266K/yr

Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll be embedded inside a vibrant team of data scientists. You'll be expected to help conceive, code, and deploy data science ...

Intuit

Staff Machine Learning Engineer

Mountain View, CA

$197K - $266K/yr

Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll be embedded inside a vibrant team of data scientists. You'll be expected to help conceive, code, and deploy data science ...

Intuit

Staff Machine Learning Engineer

Mountain View, CA

$197K - $266K/yr

Overview Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll be embedded inside a vibrant team of data scientists. You'll be expected to help conceive, code, and deploy data ...

Hive

Staff Machine Learning Engineer

San Francisco, CA · On-site

$200K - $300K/yr

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Hive

Staff Machine Learning Engineer

San Francisco, CA · On-site

$200K - $300K/yr

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Intuitive

Staff Machine Learning Engineer

Sunnyvale, CA · On-site

As a Staff Machine Learning Engineer, you will be responsible for driving the design, development, and deployment of novel machine learning solutions for pathology image analysis. You will work with ...

Intuitive

Staff Machine Learning Engineer

Sunnyvale, CA · On-site

As a Staff Machine Learning Engineer, you will be responsible for driving the design, development, and deployment of novel machine learning solutions for pathology image analysis. You will work with ...

Shipt

Staff Machine Learning Engineer

San Francisco, CA · On-site +1

Impact As a Staff Machine Learning Engineer on Shipt's Personalization Platform team you will drive key AI initiatives. In this role, you'll collaborate with Data Scientists to design and deploy ...

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Staff Machine Learning Engineer information

See California salary details

$22.7K

$98K

$190K

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

As of Jun 21, 2026, the average yearly pay for staff machine learning engineer in California is $98,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,100.00 and $123,400.00 per year, depending on experience, location, and employer.

What does a staff ML engineer do?

A staff machine learning engineer leads the design, development, and deployment of advanced machine learning models within an organization. They often oversee technical strategy, mentor team members, and collaborate with cross-functional teams to integrate AI solutions, requiring expertise in programming, data analysis, and ML frameworks. This role typically involves high-level problem solving and ensuring scalable, efficient AI systems.

What are the typical collaboration and leadership responsibilities for a Staff Machine Learning Engineer?

As a Staff Machine Learning Engineer, you often serve as a technical leader, partnering with cross-functional teams including data scientists, product managers, and software engineers to develop and deploy machine learning solutions. You will mentor junior engineers, conduct code reviews, and help establish best practices for model development and deployment. In addition to hands-on technical work, you may be responsible for evaluating new tools, contributing to the broader ML strategy, and facilitating knowledge sharing sessions. This collaborative and leadership-focused approach helps ensure consistency, quality, and innovation across machine learning projects.

What engineers make $500,000?

Senior staff machine learning engineers at large tech companies or in specialized roles can earn $500,000 or more annually, often including base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills in deep learning and data modeling, and a track record of impactful projects.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior machine learning engineers or AI research directors, often found in large tech companies or specialized firms. These positions usually require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and a strong track record of innovation.

What are the key skills and qualifications needed to thrive in the Staff Machine Learning Engineer position, and why are they important?

To thrive as a Staff Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, data analysis, and typically a strong academic background in computer science or related fields. Experience with Python, TensorFlow, PyTorch, cloud platforms, and a track record of delivering production-level ML systems are crucial, as are advanced degrees or relevant certifications. Strong leadership, communication, and mentoring skills help you effectively guide teams and collaborate across departments. These competencies are essential for designing robust ML solutions, leading technical initiatives, and ensuring successful project delivery in complex organizational environments.

What is a Staff Machine Learning Engineer job?

A Staff Machine Learning Engineer is a senior-level technical role responsible for designing, deploying, and optimizing machine learning models at scale. They provide technical leadership, mentor other engineers, and drive best practices in ML system architecture. This role often involves collaborating with cross-functional teams, improving model performance, and ensuring the reliability of machine learning solutions in production. Staff ML Engineers typically have deep expertise in algorithms, data infrastructure, and engineering processes. Their work focuses on solving complex problems and influencing the broader ML strategy within an organization.

Which 3 jobs will survive AI?

Staff Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and oversee AI systems, requiring advanced technical skills and domain expertise. Jobs that involve complex problem-solving, creativity, and emotional intelligence—such as healthcare professionals, educators, and skilled trades—are also expected to persist alongside AI advancements. These roles typically require human judgment, adaptability, and interpersonal skills that AI cannot easily replicate.
What are the most commonly searched types of Staff Machine Learning Engineer jobs in California? The most popular types of Staff Machine Learning Engineer jobs in California are:
What are popular job titles related to Staff Machine Learning Engineer jobs in California? For Staff Machine Learning Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Staff Machine Learning Engineer jobs in California look for? The top searched job categories for Staff Machine Learning Engineer jobs in California are:
What cities in California are hiring for Staff Machine Learning Engineer jobs? Cities in California with the most Staff Machine Learning Engineer job openings:
Staff Machine Learning Engineer jobs near you
Infographic showing various Staff Machine Learning Engineer job openings in California as of June 2026, with employment types broken down into 9% As Needed, 73% Full Time, 9% Part Time, 3% Temporary, and 6% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $98,029 per year, or $47.1 per hour.
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Intuit

Mountain View, CA

Full-time

Posted 22 days ago

Intuit rating

8.3

Company rating: 8.3 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

73rd of 191 rated software companies

Job description

Come join Intuit as a Staff Machine Learning Engineer! 

In this role, you’ll work alongside AI scientists and machine learning engineers to create AI-powered experiences. You’ll be expected to help conceive, code, and deploy models at scale using the latest industry tools. Important skills include creating data pipelines, developing and deploying models, and machine learning operations.


Responsibilities

  • Work with AI scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
  • Build 'machine learning ready' feature pipelines.
  • Partner with AI scientists to understand, implement, refine and design machine learning and other algorithms.
  • Run regular A/B tests, gather data, and draw conclusions on the impact of your models.
  • Monitor and maintain production models.
  • Work cross functionally with product managers, AI scientists and product engineers, and communicate results to peers and leaders.
  • Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.



Qualifications

  • BS, MS, or PhD degree in Computer Science or related field, or equivalent work experience.
  • 7+ years of experience
  • Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
  • Knowledge of machine learning techniques (i.e. classification, regression, and clustering).
  • Understand machine learning principles (training, validation, etc.)
  • Knowledge of data query and data processing tools (i.e. SQL)
  • Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
  • Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
  • Experience deploying highly scalable software supporting millions or more users
  • Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
  • Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users

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 [1] Intuit: Careers | Benefits). 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: Bay Area California $ 202,500- 274,000 References Visible links 1. https://www.intuit.com/careers/benefits/full-time-employees/ Mountain View $202500 - $274000
Plano, TX $178500- $241500Employment Type: Full-Time

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