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Senior Staff Machine Learning Engineer Jobs (NOW HIRING)

Intuit

Staff Machine Learning Engineer

Mountain View, CA · On-site

$202K - $274K/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 ...

Xometry

Staff Machine Learning Engineer

Waltham, MA

$200K - $220K/yr

Xometry is looking for a Staff Machine Learning Engineer to join our growing AI/ML team ... This is a senior individual contributor role with broad technical scope and meaningful ...

Hive

Staff Machine Learning Engineer

Seattle, WA · 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 ...

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

$202K - $274K/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 ...

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 ...

Reddit

Staff Machine Learning Engineer, Consumer

What You'll Work On We are looking for a Staff Machine Learning Engineer to help drive the next ... Mentor and guide senior and mid-level ML engineers, fostering a culture of excellence, innovation ...

Intuit

Staff Machine Learning Engineer

Mountain View, CA

$202K - $274K/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

Seattle, WA

$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 ...

Chewy

Staff Machine Learning Engineer

Boston, MA · On-site +1

$186K - $265K/yr

... Staff Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite ... Formalizing proposals and communicating verbally and in writing to Chewy Senior Leadership and ...

Chewy

Staff Machine Learning Engineer

Bellevue, WA · On-site +1

$186K - $265K/yr

... Staff Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite ... Formalizing proposals and communicating verbally and in writing to Chewy Senior Leadership and ...

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Senior Staff Machine Learning Engineer information

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$59.5K

$126.6K

$183.5K

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

As of Jul 8, 2026, the average yearly pay for senior staff machine learning engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What are the primary challenges a Senior Staff Machine Learning Engineer faces when leading large-scale ML projects?

Senior Staff Machine Learning Engineers often navigate complex challenges such as aligning cross-functional teams, ensuring model scalability, and maintaining data integrity across evolving pipelines. They are responsible for setting technical direction, mentoring junior engineers, and driving collaboration between data scientists, software engineers, and product managers. Balancing hands-on technical work with high-level architectural decisions, while also keeping up with rapid advancements in the field, is key to success in this role.

What does a Senior Staff Machine Learning Engineer do?

A Senior Staff Machine Learning Engineer leads the design, development, and deployment of complex machine learning systems within an organization. They work closely with cross-functional teams to identify business challenges that can be addressed with machine learning and guide the technical strategy for implementing solutions. Their responsibilities often include mentoring junior engineers, setting best practices, overseeing large-scale projects, and ensuring models are robust, scalable, and ethically implemented. Additionally, they may contribute to research and development, staying up-to-date with the latest advancements in the field.

What is the difference between Senior Staff Machine Learning Engineer vs Machine Learning Engineer?

AspectSenior Staff Machine Learning EngineerMachine Learning Engineer
CredentialsBachelor's/Master's/PhD in CS, AI, or related; experience in ML frameworksBachelor's/Master's in CS, AI, or related; some experience in ML
Work EnvironmentLeadership roles, cross-team collaboration, strategic planningImplementation, model development, experimentation
Industry UsageTech companies, research labs, large enterprisesStartups, tech firms, research projects

The Senior Staff Machine Learning Engineer typically holds a more senior, strategic role with leadership responsibilities, while the Machine Learning Engineer focuses on developing and deploying ML models. Both roles require strong technical skills, but the senior position involves guiding projects and mentoring teams.

What are the key skills and qualifications needed to thrive as a Senior Staff Machine Learning Engineer, and why are they important?

To thrive as a Senior Staff Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, software engineering, and a relevant advanced degree (often MS or PhD). Mastery of tools such as Python, TensorFlow, PyTorch, distributed computing frameworks, and experience with cloud platforms is typically required. Strong leadership, communication, and project management skills distinguish top performers in this role. These abilities are crucial for designing scalable ML solutions, leading teams, and driving impactful business outcomes.
More about Senior Staff Machine Learning Engineer jobs
What cities are hiring for Senior Staff Machine Learning Engineer jobs? Cities with the most Senior Staff Machine Learning Engineer job openings:
What states have the most Senior Staff Machine Learning Engineer jobs? States with the most job openings for Senior Staff Machine Learning Engineer jobs include:
What job categories do people searching Senior Staff Machine Learning Engineer jobs look for? The top searched job categories for Senior Staff Machine Learning Engineer jobs are:
Senior Staff Machine Learning Engineer jobs near you
Infographic showing various Senior Staff Machine Learning Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Intuit

Mountain View, CA • On-site

$202K - $274K/yr

Full-time

Posted 2 days ago

Intuit rating

8.3

Company rating: 8.3 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

79th of 204 rated software companies

Job description

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 models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics.
Responsibilities
  • Discover data sources, get access to them, import them, clean them up, and make them "machine learning ready".
  • Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
  • Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.
  • Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
  • Work cross functionally with product managers, data 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.

Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
Qualifications
  • BS, MS, or PhD degree in Computer Science or related field, or equivalent work experience.
  • 6+ years of experience
  • Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
  • Basic 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 GPU acceleration (i.e. CUDA and cuDNN)
  • 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

Footer
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 ). 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

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