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Senior Machine Learning Software Engineer Jobs in Bellevue, WA

Nvidia

Senior Machine Learning Engineer

Seattle, WA · On-site

$118K - $163K/yr

As a Senior Machine Learning Engineer at NVIDIA, you will build the machine learning brain that ... DGX Cloud fuses NVIDIA GPUs, NVLink networking and the full AI software stack into elastic ...

Axon

Sr Machine Learning Engineer I

Seattle, WA · Hybrid

$118K - $163K/yr

Your Impact As a Senior Machine Learning Engineer at Dedrone by Axon, you will design, build, and ... Partner closely with scientists, software engineers, and product teams to turn prototypes into ...

Axon

Sr Machine Learning Engineer I

Seattle, WA · On-site

$118K - $163K/yr

Your Impact As a Senior Machine Learning Engineer at Dedrone by Axon, you will design, build, and ... Partner closely with scientists, software engineers, and product teams to turn prototypes into ...

Qualtrics

Senior Machine Learning Engineer

Seattle, WA · On-site

$139K - $183K/yr

At Qualtrics, we create software the world's best brands use to deliver exceptional frontline ... Senior Machine Learning Engineer Why We Have This Role We are looking for an engineer to bring our ...

Amazon

Senior Machine Learning Compiler Engineer

Seattle, WA · On-site

$139K - $183K/yr

This is all enabled by cutting edge software stack, the Amazon Neuron Software Development Kit (SDK ... You: As a Sr Machine Learning Compiler Engineer III on the Amazon Neuron team, you will be a ...

Amazon

Senior Machine Learning Compiler Engineer

Seattle, WA · On-site

$139K - $183K/yr

This is all enabled by cutting edge software stack, the Amazon Neuron Software Development Kit (SDK ... You: As a Sr. Machine Learning Compiler Engineer III on the Amazon Neuron team, you will be a ...

Qualtrics

Senior Machine Learning Engineer

Seattle, WA

$139K - $183K/yr

At Qualtrics, we create software the world's best brands use to deliver exceptional frontline ... Senior Machine Learning Engineer Why We Have This Role We are looking for an engineer to bring our ...

PitchBook Data

Sr. Machine Learning Engineer

Seattle, WA

$118K - $163K/yr

As a Senior Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a ... software engineering or machine learning engineering, with a strong focus on AI/ML applications in ...

Docusign

Senior Machine Learning Engineer

Seattle, WA · On-site

$186K - $300K/yr

What you'll do We are looking for a Senior Machine Learning Engineer to redefine how we operate our ... This position is an individual contributor role reporting to the Sr. Director, Software Engineering.

PitchBook

Sr. Machine Learning Engineer

Seattle, WA · On-site

$118K - $163K/yr

PitchBook, a Morningstar company, is seeking a Senior Machine Learning Engineer to join their ... software engineering or machine learning engineering, with a strong focus on AI/ML applications in ...

DocuSign

Senior Machine Learning Engineer

Seattle, WA · On-site +1

$186K - $300K/yr

What you'll do We are looking for a Senior Machine Learning Engineer to redefine how we operate our ... This position is an individual contributor role reporting to the Sr. Director, Software Engineering.

Adobe

Sr. Machine Learning Engineer 4

Seattle, WA · On-site

$118K - $163K/yr

We are looking for a Senior Machine Learning Engineer to join our team of driven machine learning and software engineers. This role covers system design, prompt engineering, ML model evaluation ...

Hive

Senior Machine Learning Engineer

Seattle, WA · On-site

$160K - $250K/yr

Hive also offers turnkey software applications powered by proprietary AI models and datasets ... Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best ...

Hive

Senior Machine Learning Engineer

Seattle, WA

$160K - $250K/yr

Hive also offers turnkey software applications powered by proprietary AI models and datasets ... Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best ...

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All JobsMachine Learning Software Engineer JobsSenior Machine Learning Software Engineer JobsSenior Machine Learning Software Engineer Jobs in Bellevue, WA

Senior Machine Learning Software Engineer information

See Bellevue, WA salary details

$85.2K

$161.7K

$216.7K

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

As of Aug 8, 2026, the average yearly pay for senior machine learning software engineer in Bellevue, WA is $161,724.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,300.00 and $182,300.00 per year, depending on experience, location, and employer.

What is the difference between Senior Machine Learning Software Engineer vs Data Scientist?

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

What are the key skills and qualifications needed to thrive as a senior machine learning software engineer, and why are they important?

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

What is a senior machine learning software engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

What are some common challenges senior machine learning software engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.
What are popular job titles related to Senior Machine Learning Software Engineer jobs in Bellevue, WA? For Senior Machine Learning Software Engineer jobs in Bellevue, WA, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Software Engineer jobs in Bellevue, WA look for? The top searched job categories for Senior Machine Learning Software Engineer jobs in Bellevue, WA are:
Senior Machine Learning Software Engineer jobs near you
Infographic showing various Senior Machine Learning Software Engineer job openings in Bellevue, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $161,724 per year, or $77.8 per hour.

Senior Machine Learning Engineer

Nvidia

Seattle, WA • On-site

$118K - $163K/yr

Full-time

Posted 5 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

As a Senior Machine Learning Engineer at NVIDIA, you will build the machine learning brain that keeps NVIDIA's global DGX Cloud healthy, efficient and ready for the next waves of AI breakthroughs. DGX Cloud fuses NVIDIA GPUs, NVLink networking and the full AI software stack into elastic infrastructure powering large language models, drug discovery, autonomous driving and climate science. Your models will turn billions of telemetry signals into predictive insight. This frees customers to innovate while our platform runs smarter.

What you'll be doing:

  • Ground breaking and developing innovative machine learning algorithms and models that propel our AI products.

  • Build production models for anomaly detection, predictive maintenance and usage optimization.

  • Develop tools surfacing real time telemetry, efficiency metrics and long term trends.

  • Develop forecasting and simulation models for global scale planning.

  • Analyzing complex datasets to determine the best approach for model training and optimization.

  • Translate findings into clear engineering actions with infrastructure, operations and product teams.

  • Participating in cross-functional projects to integrate machine learning capabilities into various NVIDIA products.

What we need to see:

  • Master's degree or PhD in Mathematics, Statistics, Machine Learning or related quantitative field (or equivalent experience).

  • 8+ years experience applying Machine Learning to operational systems.

  • Proven track record of building and deploying Machine Learning models in production environments.

  • Experience with time series analysis and optimization algorithms.

  • Familiarity with distributed systems and cloud platforms such as AWS and Kubernetes.

  • Strong software engineering skills and proficiency in Python.

  • Effective verbal/written communication, and technical presentation skills.

  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.

  • A track record of delivering high-impact projects to compete in a fast-paced environment.

Ways to stand out from the crowd:

  • Experience solving capacity planning problems.

  • Deep understanding of GPU performance metrics.

  • Familiarity with prometheus and PromQL.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 7, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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