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Senior Machine Learning Software Engineer Jobs in Albany, OR

Hp

Embedded Systems Software Engineer

Corvallis, OR · On-site

$105K - $150K/yr

Embedded Systems Software Engineer Description - We are seeking a Systems Software Engineer to ... Cross-Org Skills Effective Communication Results Orientation Learning Agility Digital Fluency ...

Agility Robotics

Staff AI Engineer, Perception

Salem, OR · On-site

$207K - $323K/yr

The Perception team is looking for a staff machine learning engineer to own the design and ... software * Optimize deep neural networks and associated data processing to run efficiently on ...

Agility Robotics

Staff AI Engineer, Perception

Salem, OR · On-site +1

$207K - $323K/yr

The Perception team is looking for a staff machine learning engineer to own the design and ... software * Optimize deep neural networks and associated data processing to run efficiently on ...

Finch

Associate Software Controls Engineer

Corvallis, OR · On-site

$76 - $120/hr

ASSOCIATE SOFTWARE CONTROLS ENGINEER At Andrews Cooper, we specialize in delivering cutting-edge ... Familiarity with Virtual Machines, Linux, embedded systems. RESPONSIBILITIES: * Identify and ...

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All JobsMachine Learning Software Engineer JobsSenior Machine Learning Software Engineer JobsSenior Machine Learning Software Engineer Jobs in Albany, OR

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:

Senior Machine Learning Software Engineer jobs near you
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.

Embedded Systems Software Engineer

Hp

Corvallis, OR • On-site

$105K - $150K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 4 days ago

HP rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

70th of 161 rated electronics manufacturers

Job description

Embedded Systems Software Engineer

Description -

We are seeking a Systems Software Engineer to support the design, development, and validation of complex hardware test and control systems. This role spans software development, hardware/software co-design, and test automation, with responsibility for building reliable, maintainable code that interfaces directly with physical systems, sensors, and instrumentation.

The ideal candidate is comfortable writing production-quality code, working with version-controlled repositories, participating in regression testing activities, and collaborating closely with hardware, firmware, and systems engineering teams.

Key Responsibilities
  • Design, develop, and maintain software applications that interface with hardware systems, sensors, and external instruments
  • Write, debug, and refactor code in C# and related languages to support test control, data acquisition, logging, and visualization
  • Collaborate with hardware engineers on hardware/software co-design, including defining interfaces, timing, control logic, and system behavior
  • Develop and maintain automated test frameworks and participate in regression testing to ensure software reliability across releases
  • Use code repositories (e.g., Git-based systems) for source control, code reviews, branching, and release management
  • Diagnose and resolve issues that span software, firmware, and hardware boundaries
  • Contribute to system-level documentation, design reviews, and technical knowledge sharing
  • Support system bring-up, integration, and troubleshooting in lab environments
Required Qualifications
  • Strong familiarity with the C# programming language, including object-oriented design and debugging
  • Demonstrated ability to code beyond scripting-writing maintainable, production-quality software
  • Experience working with code repositories (e.g., Git), including commits, branches, merges, and code reviews
  • Familiarity with regression testing concepts, automated test execution, and test result analysis
  • Experience or strong interest in hardware/software co-design and systems that integrate real-world hardware
Preferred Qualifications
  • Experience developing software for test systems, lab automation, or hardware control environments
  • Familiarity with communication interfaces such as USB, Ethernet, serial, or instrument control APIs
  • Exposure to data logging, visualization, and post-processing workflows
  • Experience working in cross-disciplinary teams (hardware, firmware, software, systems engineering)
  • Comfortable working in lab settings with physical hardware


Education & Experience Recommended

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field (or equivalent practical experience)

Typically has 4-7 years of work experience, preferably in applications engineering, programming, or a related field or Masters degree or higher with 3-5 years of work experience.
Cross-Org Skills
Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity

The pay range for this role is $105,050 to $150,000 USD annually with additional
opportunities for pay in the form of bonus and/or equity (applies to United
States of America candidates only). Pay varies by work location, job-related
knowledge, skills, and experience.

Benefits:

HP offers a comprehensive benefits package for this position, including:

* Health insurance
* Dental insurance
* Vision insurance
* Long term/short term disability insurance
* Employee assistance program
* Flexible spending account
* Life insurance
* Generous time off policies, including;
* 4-12 weeks fully paid parental leave based on tenure
* 11 paid holidays
* Additional flexible paid vacation and sick leave (US benefits overview
[https://hpbenefits.ce.alight.com/])


The compensation and benefits information is accurate as of the date of this
posting. The Company reserves the right to modify this information at any time,
with or without notice, subject to applicable law.

Job -

Software

Schedule -

Full time

Shift -

Shift 1, 0% premium (United States of America)

Travel -

No

Relocation -

Yes

Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP'sEEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

What HP employees say

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Benefits

Hours and flexibility

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Get the full story on Breakroom

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About HP

Sourced by ZipRecruiter

HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line. Our history: HP's commitment to diversity, equity and inclusion - it's just who we are. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Palo Alto, CA, US

Year founded

1939

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