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Senior Staff Machine Learning Engineer Jobs (NOW HIRING)

Etsy

Senior Staff Machine Learning Engineer

Brooklyn, NY · On-site +1

$109K - $150K/yr

We are looking for a Senior Staff Software Engineer, Machine Learning to be a pivotal technical leader in architecting the next generation of AI/ML models and systems that connect buyers and sellers ...

Etsy

Senior Staff Machine Learning Engineer

New York, NY · On-site +1

$245K - $319K/yr

We are looking for a Senior Staff Software Engineer, Machine Learning to be a pivotal technical leader in architecting the next generation of AI/ML models and systems that connect buyers and sellers ...

BetterHelp

Staff Machine Learning Engineer

As a Staff Machine Learning Engineer at BetterHelp, you'll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for ...

Etsy

Senior Staff Machine Learning Engineer

Brooklyn, NY · On-site +1

$245K - $319K/yr

We are looking for a Senior Staff Software Engineer, Machine Learning to be a pivotal technical leader in architecting the next generation of AI/ML models and systems that connect buyers and sellers ...

Etsy

Senior Staff Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

We are looking for a Senior Staff Software Engineer, Machine Learning to be a pivotal technical leader in architecting the next generation of AI/ML models and systems that connect buyers and sellers ...

Apple Inc.

$185 - $325/hr

Senior/Staff Machine Learning Engineer, Search & Knowledge Platforms Santa Clara, California, United States Software and Services Are you passionate about search technologies and building knowledge ...

Paylocity

Staff Machine Learning Engineer

As a Staff Machine Learning Engineer in Product & Technology, you will help Paylocity build and deploy Machine Learning solutions, to help our teams build better products faster, more reliably, and ...

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Senior Staff Machine Learning Engineer information

See salary details

$59.5K

$126.6K

$183.5K

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

As of Sep 7, 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 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 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 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.

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.

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?

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What job categories do people searching Senior Staff Machine Learning Engineer jobs look for?

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Senior Staff Machine Learning Engineer jobs near you
Infographic showing various Senior Staff Machine Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 76% Full Time, 16% Part Time, 1% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Senior Staff Machine Learning Engineer - Core Services Engineering

Uber Technologies, Inc.

Sunnyvale, CA • On-site, Remote

Full-time

Retirement

Re-posted 27 days ago

Uber rating

6.7

Company rating: 6.7 out of 10

Based on 117 frontline employees who took The Breakroom Quiz

4th of 9 rated taxi private hire

Job description

We are looking for an experienced Senior Staff Machine Learning Engineer to join the Risk and Trust engineering organization at Uber. Our team plays a crucial role in empowering users with secure and seamless digital experiences by establishing industry-leading standards for identity verification, account integrity, and advanced fraud prevention. We proactively safeguard the platform against the evolving landscape of AI-driven fraud, ensuring safety and trust remain at the core of every interaction on Uber's platform. Our focus on fraud prevention is essential to protecting our users and maintaining the integrity of our global services.

About the Role

We are seeking a seasoned Senior Staff Machine Learning Engineer to join the Risk and Trust engineering organization at Uber, focusing on innovative fraud prevention and account integrity solutions. The Risk and Trust organization is central to Uber's mission of providing secure and seamless digital experiences. We focus on establishing industry-leading standards for identity verification, fraud prevention, and account integrity, while proactively defending against sophisticated, AI-driven threats. Our commitment to innovation in fraud prevention is essential to maintaining a safe and trusted environment for everyone who uses the Uber platform.

What You'll Do
 

  • Work with product, data science, and eng leadership to shape the technical roadmap and problem formulations for the team.
  • Leverage algorithmic knowledge in machine. learning/optimization/statistics to design robust engineering solutions to positively impact Uber's business.
  • Shape the MLE role and uplevel MLE talents in the org.
  • Be responsible for the End to End of the product - ML model pipeline & system design, implementation, AB testing, and rollout. Work with the team to productionize the solutions at scale.

 Basic Qualifications
 

  • 10+ years of industry experience developing machine learning models ( both classical and deep learning) and shipping ML solutions to production.
  • Master's degree in Computer Science, Engineering, Mathematics or related field
  • Strong problem-solving skills, with expertise in ML methodologies
  • Experience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems
  • Industry experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines; programming languages such as Python, Spark SQL, Presto, Go, Java


 Preferred Qualifications 
 

  • PhD degree in Computer Science, Engineering, Mathematics or related field
  • Familiarity with multi-task learning, LLMs and anomaly detection
  • Fraud domain knowledge

Ready to Ride?


This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.


You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.


Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.


Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

For San Francisco, CA-based roles: The base salary range for this role is USD $267,000 per year - USD $297,000 per year.


For Sunnyvale, CA-based roles: The base salary range for this role is USD $267,000 per year - USD $297,000 per year.


For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

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