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

Agility Robotics

Staff AI Research Engineer

Salem, OR · On-site +1

$216K - $338K/yr

Your goal will be to develop and test cutting-edge methods for imitation learning and reinforcement ... Mentor and guide junior AI research engineers through project design, experiment execution, and ...

Infoblox, Inc.

Named Account Executive - PacNW

Salem, OR · On-site +1

Cultivate close working relationships with engineering and marketing counterparts to help identify ... Demonstrated understanding of Artificial Intelligence (AI), Generative AI, Machine Learning (ML ...

Agility Robotics

Senior AI Research Engineer

Salem, OR · On-site

$195K - $304K/yr

Develop core reinforcement learning infrastructure, including scalable training pipelines and ... Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch.

Agility Robotics

Senior AI Research Engineer

Salem, OR

$195K - $304K/yr

Develop core reinforcement learning infrastructure, including scalable training pipelines and ... Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch.

Agility Robotics

Senior AI Research Engineer

Salem, OR · On-site +1

$195K - $304K/yr

Develop core reinforcement learning infrastructure, including scalable training pipelines and ... Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch.

Active911

Software Engineer (Active Comms)

Philomath, OR · On-site

$80K - $120K/yr

Continuous Learning: Stay current with industry best practices, emerging technologies, and ... Proficiency in programming languages such as TypeScript, C++, Kotlin, and Swift. * Experience with ...

Active911

Software Engineer (Active Comms)

Philomath, OR · On-site

$80K - $120K/yr

Continuous Learning: Stay current with industry best practices, emerging technologies, and ... Proficiency in programming languages such as TypeScript, C++, Kotlin, and Swift. * Experience with ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Albany, OR

Machine Learning Engineer information

See Albany, OR salary details

$31.4K

$128.5K

$193.1K

How much do machine learning engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning engineer in Albany, OR is $128,499.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,300.00 and $154,700.00 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.

More about Machine Learning Engineer jobs

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

What job categories do people searching Machine Learning Engineer jobs in Albany, OR look for?

The top searched job categories for Machine Learning Engineer jobs in Albany, OR are:

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

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

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Albany, OR as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $128,499 per year, or $61.8 per hour.

Staff AI Research Engineer

Agility Robotics

Salem, OR • On-site, Remote

$216K - $338K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago

Job description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers-tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
About The Role
The AI innovation team at Agility works on building and deploying next-generation robot foundation models and end-to-end policies on humanoid robots. Your goal will be to develop and test cutting-edge methods for imitation learning and reinforcement learning on humanoid robots, in order to establish the techniques necessary for humanoid robots to perform different real-world tasks. In addition to driving research direction, you will play a key role in shaping the technical roadmap for robot learning at Agility and leveling up a growing team of junior AI research engineers by providing mentorship, guiding project execution, and establishing strong research and engineering practices.
About the Work
  • Establish team-level standards for research execution, including experiment tracking, evaluation protocols, and model benchmarking.
  • Mentor and guide junior AI research engineers through project design, experiment execution, and technical problem solving.
  • Drive alignment across AI Research and Robotics teams on methods, evaluation, and deployment readiness for learned policies.
  • Review experimental design, code, and results to ensure rigor, reproducibility, and alignment with research goals.
  • Help onboard new researchers and accelerate their effectiveness in robot learning and experimental workflows.
  • Design, train, and deploy robust policies for locomotion, manipulation, and dynamic interactions with the environment.
  • Develop core reinforcement learning infrastructure, including scalable training pipelines and evaluation frameworks.
  • Design and implement new simulation environments and tasks to support training and deployment of control policies.
  • Develop, design, and test imitation learning methods.
  • Collaborate with Robotics Software and AI engineering teams to develop policies which can be transferred to production.
About You
  • 7+ years of total experience in software engineering and/or AI/robotics.
  • 3+ years of hands-on experience developing and deploying learning-from-demonstration, reinforcement learning, imitation learning, foundation models, or related robot learning systems in real-world or simulated robotics environments
  • Proven ability to mentor and develop junior engineers or researchers, raising the technical bar of a team.
  • Track record of leading complex technical initiatives and influencing technical direction from research through deployment.
  • Strong ability to translate ambiguous research problems into structured, executable work for a team.
  • Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch.
  • Experience with modern learning-from-demonstration tools such as DiffusionPolicy.
  • Experience with robot data collection, training, and testing on hardware for manipulation tasks.
  • MS in Robotics, Computer Science, or a related field.
Bonus Points
  • PhD in Robotics, Computer Science, or a related field.
  • Publications in top ML or robotics conferences (e.g. NeurIPS, ICML, CoRL, RSS, ICRA).
  • Familiarity with robot simulation environments (e.g. Mujoco, Isaac Sim) and sim-to-real transfer techniques.
  • Experience with modern reinforcement learning techniques for locomotion, manipulation, and whole-body control
  • Experience with writing performant, high quality software in C++

This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.
The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.
Anticipated Salary Range
$216,000-$338,000 USD
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.

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