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Senior Staff Machine Learning Engineer Jobs (NOW HIRING)

Terra AI

Senior/Staff Machine Learning Engineer

$107K - $146K/yr

Hands-on experience in creating, cleaning, and maintaining high-quality datasets tailored for machine learning applications. * Strong Software Engineering and Design Experience * Proficient in ...

Workiva, Inc.

Senior Staff Machine Learning Engineer - US

$117K - $160K/yr

We are seeking a Senior Staff Machine Learning Engineer to define how AI is architected, deployed, and trusted across our platform at enterprise scale, where accuracy, auditability, security, and ...

Workiva

Senior Staff Machine Learning Engineer - US

Ames, IA · On-site +1

$112K - $153K/yr

We are seeking a Senior Staff Machine Learning Engineer to define how AI is architected, deployed, and trusted across our platform at enterprise scale, where accuracy, auditability, security, and ...

Motional

Staff Machine Learning Engineer

Pittsburgh, PA · On-site +1

As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and ... Coach Senior and junior engineers, lead architectural reviews, and elevate Motional's engineering ...

GEICO

Senior Staff Machine Learning Engineer

Palo Alto, CA · On-site

$122K - $168K/yr

GEICO is seeking a Senior Staff AI engineer to join our AI org. This person will play key senior technical leadership roles in the development of Geico's virtual agent platform that elevates the ...

Motional

Staff Machine Learning Engineer

Las Vegas, NV · On-site +1

As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and ... Coach Senior and junior engineers, lead architectural reviews, and elevate Motional's engineering ...

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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 Jun 18, 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.
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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 June 2026, with employment types broken down into 1% Locum Tenens, 78% Full Time, 7% Part Time, 2% Temporary, and 12% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% 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

Full-time

Posted 19 days ago

Intuit rating

8.4

Company rating: 8.4 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

67th 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- $241500

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