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Ml Engineer Jobs in Oregon (NOW HIRING)

Cresta

Senior Product Engineer, Cresta Labs

OR · On-site +1

$190K - $270K/yr

What We're Looking For: * 5+ years as a software/ML engineer on user-facing systems with strong full-stack engineering skills. * Experience building and shipping products or major features with ...

Netflix

Machine Learning Engineer 5 - Globalization

OR · On-site +1

$466K - $750K/yr

About you Extensive experience in ML engineering for large, production-grade systems using LLMs, Multimodal LLMs, and other media ML models. Deep hands-on expertise in training optimization: high ...

Tebra

Data Engineer

OR · On-site +1

$114K - $137K/yr

About the Role As a Data Engineer focused on AI/ML , you'll build, maintain, and optimize the data infrastructure that powers Tebra's intelligent features. You'll partner closely with Machine ...

Nextdoor

Senior/Staff Machine Learning Engineer - Ads

OR · On-site +1

$205K - $355K/yr

We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to ...

Core4ce Careers

Demonstrated experience in an ML engineer or data scientist role building and deploying ML models * Proficiency writing code in one or more of the following: Python, R, Scala, Java, or C++, with ...

LP Careers Page

Lead Data Scientist, AdTech

OR · On-site +1

Leans on ML engineering for the last mile rather than working solo * Coachable: Seeks feedback and turns it into visible behavior change * Curiosity paired with delivery discipline NICE TO HAVES

LP Careers Page

Staff Data Scientist, Marketing

OR · On-site +1

Leans on ML engineering for the last mile rather than working solo * Coachable: Seeks feedback and turns it into visible behavior change * Curiosity paired with delivery discipline NICE TO HAVES

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Showing results 21-40

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Ml Engineer information

See Oregon salary details

$34.9K

$94.3K

$150.1K

How much do ml engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for ml engineer in Oregon is $94,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,300.00 and $115,200.00 per year, depending on experience, location, and employer.

What is an ML engineer?

ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.

What are the key skills and qualifications needed to thrive as an ML engineer?

To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.

What are some common challenges ML engineers face when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.

What is the difference between Ml Engineer vs Data Scientist?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch institutions, tech firms, and industries relying on data analysis

While both roles involve working with data and machine learning, ML Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights to inform business decisions. The roles often overlap but differ in their core responsibilities and focus areas.

Are machine learning engineers still in demand?

Machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. They typically require skills in programming, data analysis, and frameworks like TensorFlow or PyTorch, and often work in environments that emphasize continuous learning and adaptation. The demand is expected to remain strong as organizations increasingly rely on machine learning solutions for competitive advantage.

What does a machine learning engineer do?

A machine learning engineer designs, develops, and deploys machine learning models to solve specific problems using large datasets. They work with programming languages like Python or Java, utilize frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists and software engineers to integrate models into applications.

What are the most commonly searched types of Ml Engineer jobs in Oregon?

The most popular types of Ml Engineer jobs in Oregon are:

What are popular job titles related to Ml Engineer jobs in Oregon?

For Ml Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Ml Engineer jobs in Oregon look for?

The top searched job categories for Ml Engineer jobs in Oregon are:

What cities in Oregon are hiring for Ml Engineer jobs?

Cities in Oregon with the most Ml Engineer job openings:

Ml Engineer jobs near you
Infographic showing various Ml Engineer job openings in Oregon as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $94,292 per year, or $45.3 per hour.

Senior Product Engineer, Cresta Labs

Cresta

OR • On-site, Remote

$190K - $270K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago

Job description

About the role:

Cresta Labs is a small, high-ownership team focused on exploring and building the next generation of AI-native product experiences.

The team works at the intersection of product engineering, applied AI, user research, and design. We move quickly from customer problems to prototypes, validate ideas with real users, and help turn the strongest concepts into scalable product experiences.

You will work across the full product development loop: identifying user needs, designing product concepts, building working prototypes, evaluating quality, and partnering with product and engineering teams to bring the best ideas into production.

This is a hands-on builder role for someone who enjoys ambiguity, cares deeply about product quality, and wants to shape how AI agents are built and improved in real world enterprise environments.

What You'll Do :

  • Build zero-to-one AI product experiences from early concept through prototype, validation, and productionization.
  • Work with users, product managers, designers, researchers, engineers, and customer-facing teams to identify high-impact opportunities.
  • Translate ambiguous customer needs and product ideas into clear workflows, interfaces, and technical designs.
  • Build and improve AI agent development, testing, evaluation, monitoring, and optimization workflows.
  • Use product data, user feedback, and evaluation results to understand what is working and what needs to improve.
  • Create clear demos, product notes, technical docs, and recommendations that help teams align and move faster.
  • Help define the product and technical bar for AI-native experiences at Cresta.
What We're Looking For:
  • 5+ years as a software/ML engineer on user-facing systems with strong full-stack engineering skills.
  • Experience building and shipping products or major features with significant end-to-end ownership.
  • Hands-on experience with LLMs, AI agents, AI workflows or applied ML products.
  • Strong product judgment and the ability to simplify complex technical ideas into intuitive user experiences.
  • Comfort working in ambiguous problem spaces where the right answer is not yet obvious.
  • Ability to move quickly from idea to prototype while maintaining strong engineering rigor.
  • Strong communication skills, especially when explaining technical concepts to cross-functional audiences.

Bonus Points:

  • Experience designing and building evaluation and testing frameworks for machine learning systems
  • A practical approach to validation, including user research, instrumentation, metrics, and evaluation.
  • Previous experience in a startup or fast-paced product environment

Note on Our Hiring Process: 

We highly value your time and engineering craftsmanship. To ensure a streamlined and objective process, the first step for qualified applicants following an initial resume review is a self-paced CoderPad technical assessment. This allows you to showcase your practical coding and problem-solving skills in a real-world environment before moving into conversational interview rounds.

Perks & Benefits:

We offer a comprehensive and people-first benefits package to support you at work and in life:

  • Comprehensive medical, dental, and vision coverage with plans to fit you and your family
  • Flexible PTO to take the time you need, when you need it
  • Paid parental leave for all new parents welcoming a new child
  • Retirement savings plan to help you plan for the future
  • Remote work setup budget to help you create a productive home office
  • Monthly wellness and communication stipend to keep you connected and balanced
  • In-office meal program and commuter benefits provided for onsite employees

Compensation at Cresta: 

Cresta's approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.

The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.

Salary Range: $190,000-$270,000 + Offers Equity

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai 

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