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Remote Machine Learning Jobs in Oregon (NOW HIRING)

Principal Machine Learning Engineer, Agentic AI

OR · On-site +1

$204.40K - $326.60K/yr

As a Principal Machine Learning Engineer on the Agentic AI team, you will: * Leverage frameworks ... This role has been categorized as a Remote position. "Remote" employees do not have a permanent ...

Principal Machine Learning Engineer, Agentic AI

OR · On-site +1

$204.40K - $326.60K/yr

... a Remote position. "Remote" employees do not have a permanent corporate office workplace and ... Who you are As a Principal Machine Learning Engineer, you are a roll-up-the-sleeves and get-it-done ...

... machine learning at scale is a plus. * Loads of passion for building great products and growing a great company! Location: Liftoff follows a philosophy of "remote first, come together meaningfully ...

New

Our CrowdStrike Data Science Machine Learning Operations and Response Team is looking for a ... related field #LI-Remote #LI-AO1 Benefits of Working at CrowdStrike: * Market leader in ...

You will work alongside our talented team of developers, machine learning experts, product managers ... Remote (Regardless of Location): $244,700 - $279,200 for Distinguished Engineer Cambridge, MA: $269 ...

This individual will be focused on designing, building, and deploying machine learning models and ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Senior Software Engineer, Personalization & ML

OR · On-site +1

$122.40K - $161.30K/yr

You'll turn machine learning models and signals into systems that shape real borrower interactions ... Remote In-Office requirements. You will be required to work from the San Mateo, CA or Columbus ...

Data Intern

OR · Remote

$23/hr

Machine Learning Engineer Location: Remote Role Purpose: The Intern will play a vital role in advancing the company's capabilities in computer vision and fraud detection projects, as well as ...

US-Remote or Marlton, NJ area Description A Software Engineer is needed to design, develop, and ... Build and integrate AI-enabled capabilities into applications, including machine learning models ...

$99.61K - $136.96K/yr

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... PRIMARY RESPONSIBILITIES * Hands-on development and write algorithms in machine learning ...

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 ...

You will work alongside our talented team of developers, machine learning experts, product managers ... Remote (Regardless of Location): $244,700 - $279,200 for Distinguished Engineer Cambridge, MA: $269 ...

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

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Remote Machine Learning information

See Oregon salary details

$27K

$45K

$93K

How much do remote machine learning jobs pay per year?

As of May 29, 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 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 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.

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 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.

Is ML full of coding?

Machine Learning (ML) roles often involve significant coding, especially in programming languages like Python or R, to develop algorithms and models. However, some positions focus more on data analysis, feature engineering, or model evaluation, which may require less coding but still involve technical skills and understanding of ML concepts.

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.

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 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:
Infographic showing various Remote Machine Learning job openings in Oregon as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 58% Full Time, 38% Part Time, 1% Temporary, and 1% Contract. Highlights an 73% Physical, and 27% Remote job distribution, with an average salary of $45,023 per year, or $21.6 per hour.
Principal Machine Learning Engineer, Agentic AI

Principal Machine Learning Engineer, Agentic AI

Zillow

On-site, Remote

$204.40K - $326.60K/yr

Full-time

Posted 18 days ago


Zillow rating

8.8

Company rating: 8.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

10th of 152 rated real estate companies


Job description

About the teamThe Agentic AI team at Zillow is at the forefront of transforming the real estate industry by helping millions of people use AI technologies to find their next home. We aim to redefine the home shopping and transaction experience by providing an always-on assistant that integrates deep user insights and sophisticated reasoning. By embedding domain knowledge and specialized expertise in these assistants, we empower home buyers and real estate professionals to gain efficiency while maintaining Zillow's competitive edge. This lean, customer-focused team comprises scientists and engineers working together to deliver a delightful customer experience. We strongly believe in accountability, collaboration, and transparency.About the role

Zillow is looking for a Principal Machine Learning Engineer on the Agentic AI team to develop advanced multimodal foundational technologies. They will be hands-on in prototyping ideas, evaluating, and deploying models to Zillow's highly scalable infrastructure platforms. They’ll be developing perception and language understanding, deep reasoning, and reinforcement learning to handle AI agent decision-making. 

As a Principal Machine Learning Engineer on the Agentic AI team, you will: 

  • Leverage frameworks like AgentSDK, and LangChain/LangGraph to design, prototype, and develop multi-agent systems that are capable of highly autonomous and context-aware interactions

  • Leverage advanced GenAI models including reasoning models, real-time voice API, etc,  to build agentic prototypes and later on convert them into product-level agentic skills and deploy to users.

  • Have the mentality of “build, learn, and pivot”, and hold the high bar of shipping into production.

  • Mentor and guide engineers in using the right technologies for agentic AI solutions and foster a culture of innovation and responsible AI usage

  • Distill complex research findings and system designs into actionable insights for diverse audiences—including executives

  • Remain on the cutting edge of agentic AI emerging paradigms, driving product innovation

  • Serve as the focal point for applied science projects, driving alignment on timelines, and prioritization

  • Continuously refine processes for experimentation, A/B testing, and production rollouts to balance rapid innovation with reliability and responsible deployment.

This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $204,400.00 - $326,600.00 annually. This base pay range is specific to these locations and may not be applicable to other locations. In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont the standard base pay range for this role is $194,200.00 - $310,200.00 annually. The base pay range is specific to these locations and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.Who you are

As a Principal Machine Learning Engineer, you are a roll-up-the-sleeves and get-it-done engineer who can marry state-of-the-art technology (i.e., LLM models, either from OpenAI or open source) with large-scale engineering. We are looking for someone who has:

  • A master's degree or above,  equivalent experience in Computer Science, Electrical Engineering, or a related field with emphasis on foundational LLM, agentic AI,  reinforcement learning, AI planning, or natural language processing

  • 7+ years of hands-on work building large-scale, high-impact solutions—ideally in the most recent two years building agent-based systems, multi-agent collaboration, or similar paradigms

  • Experience developing dialogue systems capable of long conversations, multi-step reasoning, context-rich decision-making

  • Experience deploying and scaling AI services capable of handling hundreds of millions of daily interactions with high availability, low latency, and robust fault tolerance

  • A track record of publishing high-impact research in top AI/ML venues is a big plus.

Get to know us

At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you’ll be part of a company that's reshaping an industry and helping more people make home a reality.

Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2025, and included on the PEOPLE Companies That Care® 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.

No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together.


Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.


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