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Remote Machine Learning Jobs in Oregon (NOW HIRING)

HiddenLayer

AI Red Teamer

OR · On-site +1

Hands-on experience with adversarial machine learning techniques and tools (e.g., Foolbox ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

SOSi

Senior Data Scientist

OR · On-site +1

... Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work Environment * Full remote flexibility. Working at ...

Deckers

Sr. Manager, Data & ML Engineering

OR · Remote

United States (Remote) Interested applicants must reside in one of the following approved states ... Enable future machine learning use cases by ensuring curated datasets are ML-ready, including ...

Upstart

Principal Software Engineer, Unsecured Installments

OR · On-site +1

$134K - $180K/yr

Partner closely with machine learning engineers and data teams to productionize models and ... Remote, Burlingame, Columbus, Austin, New York Time Zone Requirements - This team operates across ...

Upstart

Senior Software Engineer, Home Lending

OR · On-site +1

$122K - $161K/yr

... and Machine Learning, Servicing, and Operations. How you'll make an impact Build and improve ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Upstart

Principal Product Manager, Pricing Platform

OR · On-site +1

Partner with engineering, machine learning, and product teams across unsecured, auto, and home ... Remote Time zone requirements The team operates on the East/West coast time zones. Travel ...

Upstart

Software Engineer, Distribution Platform

OR · On-site +1

You will work closely with cross-functional counterparts in Analytics, Marketing, Machine Learning ... Remote Travel requirements As a digital first company, the majority of your work can be ...

NAVEX

Senior Product Manager, AI

Lake Oswego, OR · On-site +1

$130K/yr

Analyze data pipelines, machine learning algorithms, and automated systems. Utilize AI techniques ... Experience in leading remote or geographically dispersed AI teams * High tolerance for ambiguity ...

Upstart

Credit Risk Manager

OR · On-site +1

Partner with Machine Learning, Product, Risk, and Bank leadership teams to evaluate portfolio ... Remote (United States) Time zone requirements The team operates on the East/West coast time zones.

SOSi

Data Scientist

OR · On-site +1

... in machine learning and predictive modeling. * Proposed personnel possess the knowledge and ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

NewRocket

AI Data Intelligence Lead

OR · Remote

Remote (Occasional travel as needed) Reports to: Global AI Center of Excellence Lead Why Us ... This role focuses on applying machine learning, generative AI, and advanced data engineering ...

Near AI

LLM Inference Engineer

OR · On-site +1

San Francisco or Remote About The Role The NEAR AI team is building decentralized and confidential machine learning infrastructure to enable user-owned AI. Our mission is to build highly scalable and ...

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Oregon

Remote Machine Learning information

See Oregon salary details

$27K

$45K

$93K

How much do remote machine learning jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote machine learning in Oregon is $45,023.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,400.00 and $48,600.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Oregon? The most popular types of Machine Learning jobs in Oregon are:
What are popular job titles related to Remote Machine Learning jobs in Oregon? For Remote Machine Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Oregon look for? The top searched job categories for Remote Machine Learning jobs in Oregon are:
What cities in Oregon are hiring for Remote Machine Learning jobs? Cities in Oregon with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $45,023 per year, or $21.6 per hour.
AI Red Teamer

AI Red Teamer

HiddenLayer

OR • On-site, Remote

Other

Medical, Dental, Vision, Retirement

Re-posted 20 days ago

Job description

AI Red Teamer

Location: United States - Fully Remote

ABOUT THE ROLE:

As an AI Red Teamer at HiddenLayer, you will play a pivotal role in the ML Threat Operations group. In this role will evaluate the security of AI systems, focusing on both predictive and generative AI models. You will identify vulnerabilities, simulate adversarial attacks, and provide actionable recommendations to improve the security of AI systems. The ideal candidate is a proactive problem solver with hands-on experience in AI security testing and a deep understanding of machine learning models and adversarial techniques.

WHO WE ARE:

HiddenLayer is a security solutions provider specializing in protecting Artificial Intelligence and agentic systems, models, and their underlying data. With a first-of-its-kind, non-invasive software approach to observing and securing AI and ML, we are helping to protect the world's most valuable technologies. Founded in March of 2022 by experienced security and AI professionals, HiddenLayer is based in Austin, Texas, and is backed by cybersecurity investment specialist firm Ten Eleven Ventures. 

Our dedication to innovation has been recognized by prestigious awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up.

WHAT YOU'LL DO:

  • Conduct end to end penetration testing on AI systems, with a focus on predictive and generative AI models.
  • Develop and execute adversarial attacks (e.g., evasion, poisoning, and inference attacks) to identify weaknesses in predictive models.
  • Develop and execute adversarial attacks (e.g., jailbreak, hallucination, context leakage, etc.) to identify weaknesses in generative AI models and applications built on top of them.
  • Collaborate with data scientists, engineering, and research teams to design and implement novel attacks and relate them back to actionable recommendations.
  • Stay current with the latest AI security research, trends, and adversarial tactics.
  • Produce detailed reports outlining vulnerabilities, risks, and actionable recommendations.
  • Contribute to the development of internal tools and frameworks for AI red teaming.

WHO YOU ARE:

  • 3+ years of experience in penetration testing, with at least 1 year focused on AI systems
  • Deep understanding of attack techniques specific to machine learning and artificial intelligence systems (data poisoning, inference attacks, model injection, prompt injection, jailbreaking, etc.)
  • Hands-on experience with adversarial machine learning techniques and tools (e.g., Foolbox, CleverHans, ART, Purple Llama, Garak, or proprietary solutions).
  • Excellent communication skills with the ability to articulate complex concepts clearly to both technical and non-technical audiences.
  • Understanding of machine learning concepts and algorithms.
  • Strong problem-solving skills and the ability to think creatively to anticipate potential attack vectors.
  • Proficiency in programming languages such as Python, and experience with AI frameworks like TensorFlow, PyTorch, or Keras.

WHY HIDDENLAYER?

We're moving at (what feels like) the speed of light. HiddenLayer is a venture-backed company and recently closed a $50M funding round led by M12, Microsoft's Venture Fund, and Moore Strategic Ventures. 

Attracting and retaining the very best people is our #1 priority. That's why we offer our team best-in-class benefits, including:

  • Fully Remote:  We are a completely remote global team. Though we're distributed, we are intentional about getting the team together a couple of times a year. We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses. 
  • Comprehensive Health & Wellness Benefits: Better than your average startup healthcare benefits. With five options to choose from, we cover 90% of the healthcare premium regardless of how many people you have on your plan. We also offer vision, dental, and 401k offerings.
  • Flexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays.
  • Commitment to Learning and Development: We support personal growth and education through a dedicated L&D fund that can be used for training, conferences, certifications and industry events.
  • Diversity, Equity, and Inclusion: We are committed to building a diverse team with individuals from various backgrounds, experiences, abilities, and perspectives, and we are proud to be an equal opportunity employer.

To learn more about HiddenLayer visit HiddenLayer and follow us on LinkedIn or Twitter.

HiddenLayer  is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.

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