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Machine Learning Defense Jobs in Portland, OR (NOW HIRING)

... and aerospace & defense applications, to name a few. Our lasers are changing not only the way ... Develop, test, and apply statistical models, analytical methods, and machine learning techniques to ...

... and aerospace & defense applications, to name a few. Our lasers are changing not only the way ... Develop, test, and apply statistical models, analytical methods, and machine learning techniques to ...

... and aerospace & defense applications, to name a few. Our lasers are changing not only the way ... Develop, test, and apply statistical models, analytical methods, and machine learning techniques to ...

... and aerospace & defense applications, to name a few. Our lasers are changing not only the way ... Develop, test, and apply statistical models, analytical methods, and machine learning techniques to ...

... defense, healthcare, semiconductors, and fintech. Life at Galois: People are the foundation of ... Artificial Intelligence, Machine Learning, and Data Science * Software & Systems Analysis

... defense, healthcare, semiconductors, and fintech. Life at Galois: People are the foundation of ... Artificial Intelligence, Machine Learning, and Data Science * Software & Systems Analysis

Paralegal - Litigation

Portland, OR · Hybrid

$55K - $95K/yr

This position supports attorneys who practice general liability and personal injury defense. This ... Ever Forward - Never complacent, always learning and improving. Stay humble, innovative, and ...

Paralegal - Litigation

Portland, OR · On-site

$55K - $95K/yr

This position supports attorneys who practice general liability and personal injury defense. This ... Ever Forward - Never complacent, always learning and improving. Stay humble, innovative, and ...

Paralegal - Litigation

Portland, OR · On-site

$55K - $95K/yr

This position supports attorneys who practice general liability and personal injury defense. This ... Ever Forward - Never complacent, always learning and improving. Stay humble, innovative, and ...

Machine Learning Defense information

See Portland, OR salary details

$27K

$45.2K

$93.3K

How much do machine learning defense jobs pay per year?

As of Jul 26, 2026, the average yearly pay for machine learning defense in Portland, OR is $45,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,500.00 and $48,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Defense professional, and why are they important?

To thrive as a Machine Learning Defense professional, you need a strong background in computer science, cybersecurity, and machine learning, often supported by degrees in these fields or related certifications. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial machine learning techniques, and knowledge of security protocols are typically required. Critical thinking, problem-solving, and strong communication skills are essential for anticipating threats and collaborating with interdisciplinary teams. These skills ensure that AI systems remain robust and secure against evolving cyber threats, protecting sensitive data and organizational integrity.

What is machine learning defense?

Machine learning defense refers to techniques and strategies designed to protect machine learning models from various security threats, such as adversarial attacks, data poisoning, and model theft. These defenses can include methods like adversarial training, input sanitization, and robust model architectures. The goal is to ensure that machine learning systems remain accurate, reliable, and safe even when faced with malicious attempts to manipulate or exploit them. As machine learning becomes more widely adopted, the importance of effective defenses continues to grow.

What are some common challenges faced by professionals in Machine Learning Defense roles, and how can they be addressed?

Professionals in Machine Learning Defense often encounter challenges such as staying ahead of adversarial attacks, managing model robustness, and keeping up with rapidly evolving threat landscapes. Addressing these challenges typically requires continuous learning, collaboration with cybersecurity and data science teams, and implementing rigorous testing and monitoring frameworks for deployed models. Proactively participating in industry forums and staying updated on the latest research also help in identifying emerging threats and mitigation strategies.
What are popular job titles related to Machine Learning Defense jobs in Portland, OR? For Machine Learning Defense jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Machine Learning Defense jobs in Portland, OR look for? The top searched job categories for Machine Learning Defense jobs in Portland, OR are:
Temporary Data Engineer

Temporary Data Engineer

nLIGHT

Vancouver, WA • On-site

$45 - $58/hr

Temporary

Medical, Dental, Vision

Posted 13 days ago


Job description

Description
Who We Are
At nLIGHT, we are constantly on the cutting-edge of laser technology in a massively growing market. We are a leading provider of high-power semiconductors and fiber lasers for industrial, microfabrication, and aerospace & defense applications, to name a few. Our lasers are changing not only the way things are made, but also changing the things that can be made.
Headquartered in Camas, Washington, nLIGHT is a publicly listed company (NASDAQ: LASR).
We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within a high-tech manufacturing environment. This role will focus on integrating and analyzing data from multiple systems to identify trends, improve process understanding, and help predict manufacturing performance. The ideal candidate brings strong technical data skills, experience working with complex datasets, and the ability to communicate insights clearly to cross-functional stakeholders.
This position is anticipated to last approximately 9 months.
Responsibilities
    • Collect, clean, and structure data from multiple sources, including databases, APIs, and spreadsheets, to support meaningful analysis.
    • Develop, test, and apply statistical models, analytical methods, and machine learning techniques to solve business and manufacturing challenges.
    • Create reports, dashboards, and visualizations that translate technical findings into clear insights for non-technical audiences.
    • Partner with cross-functional teams, including Operations and Planning, to identify opportunities for improved performance and decision-making.
    • Present findings and recommendations to internal stakeholders in a clear, concise, and actionable manner.

Requirements
    • Strong SQL and relational database skills, including experience writing complex queries and working with Microsoft SQL Server and/or Azure SQL.
    • Experience integrating and transforming data from multiple sources, including on-premises and cloud-based systems.
    • Strong background in statistics, data analysis, and correlation methods, with proficiency in Python, R, or similar analytical tools.
    • Knowledge of semiconductor, laser, or other advanced manufacturing processes is preferred.
    • Demonstrated ability to work independently, manage complex data challenges, and communicate findings effectively to a range of audiences.
    • Advanced Excel skills are required; experience with Power BI is preferred.
    • Experience working with complex enterprise data environments and large datasets.
    • 3+ years of hands-on data analysis experience in a high-tech manufacturing, semiconductor, or similar environment is preferred.
    • Master's degree or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.
    • Lean, Six Sigma Green Belt, or Black Belt certification is a plus.

nLIGHT is proud to offer comprehensive COMPENSATION AND BENEFITS:
This is a fixed-term (approximately 9 months), non-exempt role with a competitive pay and benefits.
Data Scientist pay range: $45.00-$58.00 hourly
Other compensation and benefits
  • Eligible for health benefits on the 1st day of the month after your start date
  • Medical, Dental and Vision Benefits, including prescription and orthodontia with employee-paid premiums as low as $40.00 per pay period
  • Employee Assistance Program
  • Flexible Spending and Health Savings Accounts
  • Pet Insurance

nLIGHT is subject to US Export Control regulations. To qualify for this position, you must be a US Person (that is, a US citizen, lawful permanent resident, or protected individual granted asylum or refugee status).
Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or age. For more information about our commitment to equal employment opportunity, please see this government poster: Know Your Rights: Workplace Discrimination is Illegal. If you are an individual with a disability and need a reasonable accommodation in the application or hiring process, please contact Human Resources at (360) 566-4460 or [email protected].
E-Verify Participation:
nLIGHT participates in the E-Verify program. This employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's Form I-9 to confirm work authorization.
For more information, please review the following notices:
  • E-Verify Participation Poster
  • Right to Work Poster