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Machine Learning Engineer Jobs in Bend, OR (NOW HIRING)

WHAT YOU'LL DO As a member of the Engineering team, the Liaison Engineer I develops engineering solutions to address nonconforming parts, assemblies, and aircraft systems, including the correction of ...

WHAT YOU'LL DO As a member of the Engineering team, the Liaison Engineer I develops engineering solutions to address nonconforming parts, assemblies, and aircraft systems, including the correction of ...

The Strategic Innovation Engineer at BASX plays a critical role in the Strategic Development & Testing Group with researching, designing, developing, and implementing new and emerging technologies ...

Position Summary Lead, evaluate, design, and engineer projects and systems to specification on projects ranging from new design/build to rehabilitation of existing facilities and systems.Provide ...

The HV SCADA Engineer II will provide intermediate level engineering support for the design, configuration, testing, and commissioning of high voltage (HV) SCADA systems on utility scale renewable ...

Senior SCADA Engineer, EPC (Remote)

Bend, OR · On-site +1

$110K - $151K/yr

The Senior SCADA Engineer, EPC will lead and execute SCADA and PPC engineering workstreams for the design, development, and delivery of the SOLV OTS SCADA solution on utility-scale PV and BESS ...

Senior SCADA Engineer, EPC (Remote)

Bend, OR · On-site +1

$110K - $151K/yr

The Senior SCADA Engineer, EPC will lead and execute SCADA and PPC engineering workstreams for the design, development, and delivery of the SOLV OTS SCADA solution on utilityscale PV and BESS ...

Showing results 21-32

Machine Learning Engineer information

See Bend, OR salary details

$33.2K

$135.9K

$204.1K

How much do machine learning engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for machine learning engineer in Bend, OR is $135,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $163,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

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

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

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

Infographic showing various Machine Learning Engineer job openings in Bend, OR as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 67% Full Time, 29% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $135,851 per year, or $65.3 per hour.

Liaison Engineer I

Bend, OR • On-site

Epic Aircraft
Aerospace Product and Parts Manufacturing • 51 - 200 employees

Other

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Epic Aircraft rating

5.9

Company rating: 5.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

WHO WE ARE

Join the Team Building World-Class Aircraft. Epic Aircraft is a leading manufacturer of high-performance, all-carbon-fiber, single-engine turboprop aircraft. Driven by innovation, safety, and craftsmanship, we have earned a reputation as a premier aerospace manufacturer. Located in beautiful Bend, Oregon, Epic offers an exciting work environment surrounded by mountains, rivers, and year-round outdoor recreation. If you're looking for a hands-on career with growth opportunities in the aerospace industry, we'd love to meet you.

WHAT YOU'LL DO

As a member of the Engineering team, the Liaison Engineer I develops engineering solutions to address nonconforming parts, assemblies, and aircraft systems, including the correction of manufacturing and design issues identified during production. This role works closely with Manufacturing, Quality Control, and other Engineering disciplines to evaluate issues, determine appropriate corrective actions, and support the safe, efficient production and continued operation of the aircraft.

Repair solutions and corrective actions may involve composite structures, interiors, payloads, electrical systems, functional testing, finishes, aerodynamics, electromagnetic environment, damage tolerance, fatigue, static strength, propulsion, safety, and other aircraft systems.

Responsibilities
  • Develop structural repair solutions and perform static strength analyses to determine appropriate usage criteria for nonconforming production parts and assemblies
  • Serve as a member of the Material Review Board (MRB) to evaluate and determine the disposition of nonconforming parts, assemblies, and processes
  • Interpret engineering drawings, specifications, and applicable requirements to identify opportunities to improve product manufacturability, serviceability, and reliability through Engineering Change Notices (ECNs)
  • Collaborate with Quality Control, Manufacturing, and other Engineering departments to identify and resolve engineering-related production issues
  • Provide engineering support to Quality Control and Manufacturing in the development and implementation of product and process improvements
  • Research technical, operational, manufacturing, and quality issues and develop appropriate engineering solutions in collaboration with cross-functional teams
  • Develop structural repair solutions and/or perform static strength analyses for aircraft within the Epic Flight Support fleet
  • Support in-depth engineering projects involving Manufacturing, Mechanical Design, Structures, and Flight Test
  • Develop working knowledge of Federal Aviation Regulations (FARs), applicable regulatory requirements, and associated engineering approval processes
  • Document engineering evaluations, analyses, repair instructions, and corrective actions in accordance with established procedures
  • Maintain a strong understanding of aircraft configuration, production processes, and engineering standards to support effective liaison between Engineering and Manufacturing
  • Perform other duties as assigned or required
WHAT YOU BRING TO THE TEAM

Required

  • Bachelor's degree in Engineering, such as Aerospace, Materials, Mechanical, or a closely related discipline
  • 1–2 years of relevant engineering experience, internship/co-op experience, or equivalent engineering education and project experience
  • Understanding of fundamental engineering principles, including statics, dynamics, strength of materials, and fluid mechanics.
  • Ability to follow established processes, specifications, engineering standards, and guidelines
  • Strong mechanical design aptitude and the ability to interpret engineering drawings and technical documentation
  • Proficiency with computer-aided design (CAD) tools
  • Excellent analytical, critical-thinking, and problem-solving skills
  • Strong written and verbal communication skills
  • Ability to work effectively both independently and as part of a cross-functional team with a positive attitude and professional presence
  • Flexible and able to adapt to changing priorities and requirements
  • Must be authorized to work in the United States without current or future sponsorship

Desirable

  • Experience with aircraft structures, aerospace manufacturing, or aviation engineering
  • Familiarity with composite materials, structural analysis, or aircraft repair methods
  • Experience with finite element analysis (FEA) or other engineering analysis tools
  • Familiarity with Federal Aviation Regulations (FARs), FAA requirements, or aircraft certification processes
  • Experience working in a manufacturing, quality, MRB, or production-support engineering environment
COMPENSATION AND SCHEDULE

Monday – Friday
7:30 a.m. – 4:00 p.m.

Salary Range: Competitive DOE

BENEFITS AND CAREER GROWTH

At Epic Aircraft, we're committed to investing in our employees and providing opportunities for long-term success

  • 100% paid Health, Vision, and Dental benefits for employees & 50% for dependents
  • 401k retirement plan with a 3% matching program
  • Company provided paid time off accrued each year
  • Seven paid holidays each year
  • Paid company shutdown between Christmas and New Year's Day
  • Discretionary year-end bonus program
  • Performance-based pay increases
  • Access to the Epic Aircraft Flying Club
  • Ongoing training and advancement opportunities
  • Supportive team environment and company-sponsored events
Additional Information
  • This position is located at Epic Headquarters in Bend, Oregon
  • Relocation Assistance is not provided
Epic Aircraft does not accept 3rd party agency solicitation requests
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