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Machine Learning Engineer Python Jobs in Oregon (NOW HIRING)

Quora

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... Strong knowledge of Python or C++, or the ability to learn them quickly * A passion for learning ...

Quora

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... Strong knowledge of Python or C++, or the ability to learn them quickly * A passion for learning ...

Quora

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... Strong knowledge of Python or C++, or the ability to learn them quickly * A passion for learning ...

Quora

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... Strong knowledge of Python or C++, or the ability to learn them quickly * A passion for learning ...

Cresta

Staff Machine Learning Engineer

OR · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs. Current focus areas include:

Cresta

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs. Current focus areas include:

May Mobility

Lead Machine Learning Engineer - Localization

OR · On-site +1

$102K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Architect and drive the technical roadmap for a production-grade localization machine learning ... Strong programming skills in Python and/or C++ with experience in modular software design and Linux ...

Nextdoor

Senior/Staff Machine Learning Engineer - Ads

OR · On-site +1

$205K - $355K/yr

Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform * Collect and gather ...

phData

Machine Learning Principal Solutions Architect

OR · On-site +1

  • Dental

  • Vision

  • Retirement

  • PTO

Expertise in modern programming languages such as Python, Scala, Java, or similar, including ... Proven experience deploying machine learning models into production environments and ensuring their ...

Netflix

Machine Learning Engineer 5 - Globalization

OR · On-site +1

$466K - $750K/yr

  • Medical

  • Life

  • Retirement

  • PTO

We are looking for an experienced Machine Learning Engineer with deep expertise in training and inference efficiency for Large Language Models (LLMs), Multimodal LLMs, and other media ML models. In ...

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Machine Learning Engineer Python information

What is a machine learning engineer python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.

What are the key skills and qualifications needed to thrive as a machine learning engineer python?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What are some common challenges faced by machine learning engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

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

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What are popular job titles related to Machine Learning Engineer Python jobs in Oregon?

For Machine Learning Engineer Python jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Python jobs in Oregon look for?

The top searched job categories for Machine Learning Engineer Python jobs in Oregon are:

What cities in Oregon are hiring for Machine Learning Engineer Python jobs?

Cities in Oregon with the most Machine Learning Engineer Python job openings:

Machine Learning Engineer Python jobs near you
Infographic showing various Machine Learning Engineer Python job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr Machine Learning Engineer

5014 Disney Entertainment & Sports LLC

Beaverton, OR • On-site

$141.90 - $199.40/hr

Other

This job post has expired today. Applications are no longer accepted.

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 – 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 company’s brands and stories. Disney+, Hulu, ESPN, ABC, ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – 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 – 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 systems’ 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 team’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 Google’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 candidate’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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