ZipRecruiter

Log In

1

Junior Machine Learning Engineer Jobs in Tualatin, OR

Bespoke Labs

Machine Learning Engineer

Portland, OR · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Gresham, OR · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Portland, OR

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Vancouver, WA

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Vancouver, WA · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Gresham, OR

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

next page

Showing results 1-20

All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Tualatin, OR

Junior Machine Learning Engineer information

See Tualatin, OR salary details

$34.9K

$74.8K

$114K

How much do junior machine learning engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for junior machine learning engineer in Tualatin, OR is $74,779.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $83,300.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
More about Junior Machine Learning Engineer jobs

What cities near Tualatin, OR are hiring for Junior Machine Learning Engineer jobs?

Cities near Tualatin, OR with the most Junior Machine Learning Engineer job openings:

Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Tualatin, OR as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 80% In-person, 5% Hybrid, and 15% Remote job distribution, with an average salary of $74,779 per year, or $36 per hour.

Sr Machine Learning Engineer

Beaverton, OR • On-site

5014 Disney Entertainment & Sports LLC
See more jobs at 5014 Disney Entertainment & Sports LLCexternal

$110K - $151K/yr

Other

Re-posted yesterday

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.

#J-18808-Ljbffr

Apply