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Senior Machine Learning Software Engineer Jobs in Albany, OR

Senior Safety Software Engineer

Salem, OR · On-site +1

$175K - $274K/yr

The Role We are seeking a Senior Safety Software Engineer to play a critical role in implementing a ... Partner with our machine learning, hardware, and core software teams to ensure that data pipelines ...

* 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 ...

* 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 ...

Senior Software Engineer

Salem, OR · On-site

$120 - $160/hr

Overview We are seeking a full-time Senior Software Engineer for Garmin's Salem, OR location. In this role, you will be responsible for providing technical leadership and project planning for ...

We are looking for a talented and motivated Associate Software Engineer to join our development ... Knowledge of machine learning or artificial intelligence. Familiarity with game engines such as ...

We are looking for a talented and motivated Associate Software Engineer to join our development ... Knowledge of machine learning or artificial intelligence. * Familiarity with game engines such as ...

We are looking for a talented and motivated Associate Software Engineer to join our development ... machine learning or artificial intelligence. • Familiarity with game engines such as Unreal ...

We are looking for a talented and motivated Associate Software Engineer to join our development ... of machine learning or artificial intelligence. · Familiarity with game engines such as Unreal ...

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Senior Machine Learning Software Engineer information

See Albany, OR salary details

$75.3K

$143K

$191.6K

How much do senior machine learning software engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior machine learning software engineer in Albany, OR is $142,991.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,200.00 and $161,200.00 per year, depending on experience, location, and employer.

What is a senior machine learning software engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

What are some common challenges senior machine learning software engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.

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

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

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

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

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

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

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

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

Infographic showing various Senior Machine Learning Software Engineer job openings in Albany, OR as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $142,991 per year, or $68.7 per hour.

Senior Safety Software Engineer

Agility Robotics

Salem, OR • On-site, Remote

$175K - $274K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 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.

Agility Robotics views safety not as a regulatory constraint, but as a fundamental commercial gateway that is absolutely required to move humanoid robots out of isolated work cells and into shared human environments. You can't build your robot and then make it safe - functional safety must be baked into the hardware, electrical systems, and software from day one.

The Role

We are seeking a Senior Safety Software Engineer to play a critical role in implementing a functionally safe perception system.  In this role, you will bridge the gap between cutting-edge technology and functional safety principles.  You will work closely with cross-functional teams to design, develop, and validate safety-critical software architecture. If you are passionate about building robust systems that push the boundaries of modern robotics and automation while maintaining uncompromising safety, we want you on our team.

Key Responsibilities
  • Design & Develop: Design and implement robust, highly reliable software for safety-critical systems using both traditional functional safety techniques and emerging deep learning safety techniques.
  • Cross-Functional Collaboration: Partner with our machine learning, hardware, and core software teams to ensure that data pipelines, models, and middleware operate within defined safety envelopes.
  • System Architecture: Develop and optimize software running on both Linux and real-time operating systems.
  • Testing & Validation: Create rigorous testing frameworks and validation strategies to prove system reliability and safety under edge-case scenarios.
  • Mentorship: Guide and mentor junior engineers on safety-critical coding standards and best practices.
Minimum Qualifications
  • Bachelor's or Master's degree in Computer Science, Computer/Electrical Engineering, Robotics, or a related field.
  • 5+ years of professional software engineering experience, with a focus on systems level or embedded systems programming (C++, C, or Rust).
  • Strong understanding of software architecture for embedded
  • Excellent problem-solving skills and a strong internal drive for quality and reliability.
Preferred Qualifications

We know that great candidates come from diverse backgrounds. Even if you don't check every box below, we highly encourage you to apply.

Greatly Desired:

  • Board Bringup: Experience working with alpha hardware, performing basic tasks to run an operating system and establishing a working environment for future development
  • Perception Systems: Experience working with camera and LiDAR sensors, interpreting the output and 
  • Certified Code: A proven track record of writing formally certified safety-critical code.
  • Functional Safety Standards: Deep familiarity with and practical application of standards such as ISO 26262 (automotive), IEC 61508 (industrial), or ISO 13849 (machinery).
  • ROS 2: Experience architecting and building complex robotic applications using ROS 2.
  • Machine Learning: Hands-on experience with machine learning pipelines, including data collection, dataset curation, and model training.
  • Linux Kernel: Experience with Linux kernel configuration, module development, or customization for performance and reliability.
  • RTOS Experience: Experience developing and deploying software on QNX or similar real-time operating systems and integrating into a modern CI/CD system

This is a fully remote role with the option to work hybrid if a commutable distance from our Salem, OR, Pittsburgh, PA, or Fremont, CA 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 Base Salary Range
$175,000—$274,000 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.