1

Staff Machine Learning Engineer Jobs in Santa Clara, CA

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 ...

Overview 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 ...

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 ...

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.

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 ...

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 ...

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 ...

We are looking for a great Staff Machine Learning Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role ...

The Staff Machine Learning Engineer will drive innovation on the Machine Learning team, focusing on NLP and improving technical approaches to support healthcare professionals. Responsibilities : • ...

As a Staff Machine Learning Engineer (MLE 50), you will design, build, and deploy semantic matching and ranking models that understand text, images, documents, and other content modalities at Adobe ...

We are looking for a great Staff Machine Learning Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role ...

The Staff Machine Learning Engineer will leverage NLP expertise to improve computational infrastructure, manage datasets, and collaborate with cross-functional teams to optimize the platform for ...

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 ...

We are looking for a strong Staff Machine Learning Engineer who has the passion to develop AI driven intelligent products for the Associate Productivity and Experience team, with the ability to ...

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 ...

We are looking for a great Staff Machine Learning Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role ...

next page

Showing results 1-20

Staff Machine Learning Engineer information

See Santa Clara, CA salary details

$27K

$116.7K

$226.1K

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

As of Sep 5, 2026, the average yearly pay for staff machine learning engineer in Santa Clara, CA is $116,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $146,800.00 per year, depending on experience, location, and employer.

What is a staff machine learning engineer?

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.

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 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.

Do staff machine learning engineers get paid well?

Staff machine learning engineers typically earn high salaries due to their advanced skills, experience, and expertise in developing complex models and deploying AI solutions. Compensation often includes base salary, bonuses, and stock options, reflecting their seniority and impact within organizations.

What cities near Santa Clara, CA are hiring for Staff Machine Learning Engineer jobs?

Cities near Santa Clara, CA with the most Staff Machine Learning Engineer job openings:

Infographic showing various Staff Machine Learning Engineer job openings in Santa Clara, CA as of August 2026, with employment types broken down into 2% As Needed, 77% Full Time, 15% Part Time, 1% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $116,657 per year, or $56.1 per hour.

Staff Machine Learning Engineer

Intuit

Mountain View, CA • On-site

$202K - $274K/yr

Full-time

Re-posted 8 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

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 will 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 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:
Mountain View $202,500 - $274,000
Employment Type: Full-Time

What Intuit employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom