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Senior Machine Learning Software Engineer Jobs in Portland, OR

Sr. Machine Learning Engineer

Hillsboro, OR

$113K - $156K/yr

Required Qualifications * BS in CS, EE, Math or related STEM field * 8+ years software development background * 4+ years of hands-on experience in machine learning engineering, data science or ML ...

Senior Software Engineer

Beaverton, OR ยท On-site

$127K - $168K/yr

Senior Software Engineer - NIKE, Inc. - Beaverton, OR. Develop, code, configure and test software ... train, and deploy machine learning models to support prediction and optimization use cases ...

Senior Software Engineer

Camas, WA ยท On-site

$134K - $177K/yr

A Senior Software Engineer (SSE) is responsible for designing, developing, and modifying corporate ... Experience utilizing Artificial Intelligence and Machine Learning technologies * Experience ...

Senior Software Engineer

Camas, WA ยท On-site

$117K - $148K/yr

A Senior Software Engineer (SSE) is responsible for designing, developing, and modifying corporate ... Experience utilizing Artificial Intelligence and Machine Learning technologies * Experience ...

Senior Principal Software Engineer

Beaverton, OR ยท On-site

$130K - $180K/yr

Sr. Principal Engineer CONSUMER PRODUCT AND INNOVATION , PHK-BEAVERTON WHO YOU WILL WORK WITH You ... You will collaborate regularly with software and machine learning engineers in Reporting ...

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Showing results 1-20

Senior Machine Learning Software Engineer information

See Portland, OR salary details

$80.1K

$152K

$203.6K

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

As of Aug 18, 2026, the average yearly pay for senior machine learning software engineer in Portland, OR is $151,961.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,900.00 and $171,300.00 per year, depending on experience, location, and employer.

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 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 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 most commonly searched types of Machine Learning Software Engineer jobs in Portland, OR?

The most popular types of Machine Learning Software Engineer jobs in Portland, OR are:

What are popular job titles related to Senior Machine Learning Software Engineer jobs in Portland, OR?

For Senior Machine Learning Software Engineer jobs in Portland, OR, the most frequently searched job titles are:

What cities near Portland, OR are hiring for Senior Machine Learning Software Engineer jobs?

Cities near Portland, OR with the most Senior Machine Learning Software Engineer job openings:

Infographic showing various Senior Machine Learning Software Engineer job openings in Portland, OR 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 $151,961 per year, or $73.1 per hour.

Sr Machine Learning Engineer

5014 Disney Entertainment & Sports LLC

Beaverton, OR โ€ข On-site

$141.90 - $199.40/hr

Other

Posted 6 days ago


Job description

Job Posting Title: Sr Machine Learning Engineer Req ID: 10156068 Job Description: Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more โ€“ all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the companyโ€™s brands and stories. Disney+, Hulu, ESPN, ABC, ABC Newsโ€ฆand many more. These products and brands โ€“ and the unmatched stories, storytellers, and events they carry โ€“ matter to millions of people globally.

Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products โ€“ driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. As part of the Decisioning Fleet, on the Selection squad you will help build services and models enabling efficient ad fills for ad breaks across Hulu, Disney+, ESPN, and others. You will directly contribute to optimizing ad selection to make sure viewers always see the right ad at the right time.

As a Senior Machine Learning Engineer of our team, you will apply your knowledge and skills to help us deliver scalable, performant, maintainable, and testable software and apply ML solutions where needed. Daily, you should bring: A willingness and desire to effectively communicate and collaborate across teams and systems. An understanding of the importance of project ownership. A passion for mentoring, learning, and adapting to a very dynamic and fast-paced environment. An understanding of micro-service encapsulation and loose coupling, and why they are important. An understanding of ML models and knowledge of how to leverage their use online and offline. An understanding of how to define technical and operational metrics to measure system health and to manage risk. Kindness and pragmatic optimism.

Responsibilities
  • Designing, implementing, and testing logic to serve ads effectively adhering to various business criteria either with rule based or ML based solutions in a high-throughput, low-latency microservices environment.
  • Enhancing systemsโ€™ observability with proper metrics, monitors, and alerts.
  • Reading and understanding product user stories, and then translating them into actionable tasks for both frontend and backend components.
  • Taking ownership of one or more of the team's domain areas.
  • Understanding and using automated tools (AI) while adhering to company policy.
  • Available for On-Call rotations based on the teamโ€™s escalation policy and support schedule.
Basic Qualifications
  • BS or MS in Computer Science / Engineering or relevant work experience.
  • 5+ years of software engineering, specifically ML experience.
  • Proficiency with Java.
  • Proficient in large scale ML/DL platforms and processing tech stack.
  • Experience in large scale machine learning using tools such as scikit-learn, Spark MLLib, pytorch.
  • Experience with LLM-based application development, using LLM-as-a-service providers such as AWS Bedrock, Azure Cognitive Services, or Googleโ€™s Vertex AI.
  • Experience using frameworks such as LangGraph, Crew AI, and strands sdk for developing agents.
  • Experience with vector databases and retrieval-augmented generation.
  • Demonstrable analytical / problem-solving skills.
  • Strong knowledge of and experience implementing AI/ML technologies and applying mathematical and statistical concepts.
  • Great communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences.
Preferred Qualifications
  • Experience with: SpringBoot and related Spring projects.
  • Non-relational database technologies like DynamoDB.
  • Caching datastores such as Redis, ValKey or MemCache.
  • Data Streaming Mechanisms such as Apache Kafka and/or Kinesis.
  • Cloud platforms such as AWS.
  • Modern DevOps tools such as Terraform, Docker, and Kubernetes.
  • Domain knowledge in the Ad Tech industry.
Additional Information

Engineers are expected to be in the office four days a week. This role is hiring in Glendale, Seattle, San Francisco, or Santa Monica #DISNEYTECH. The hiring range for this position in Los Angeles, CA area is $141,900 to $190,300 per year and in Seattle, WA is $148,700 - $199,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidateโ€™s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment: Ad Platforms. Job Posting Primary Business: AP - Engineering. Job Posting Primary Job Posting Category: Machine Learning. Employment Type: Full time. Primary City, State, Region, Postal Code: Seattle, WA, USA. Alternate City, State, Region, Postal Code: . Date Posted: 2026-07-17. Learn more about us.

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