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Machine Learning Contract Remote Jobs in Seattle, WA

YO AI Labs

Senior Software Engineer - Remote

Seattle, WA · Remote

$139K - $183K/yr

Job Title: Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

Job Title MLOps Engineer to work on AWS GovCloud Databricks Projected Start Date05-09-2025 Projected End Date10-31-2025 Position Type Contract Location : Bellevue, WA Remote Work100% Primary

MindSource

Research Scientist

Seattle, WA · Remote

Job Title: Research Scientist Location: Seattle, WA (Remote) Duration: 12 months contract with possible of extension Description This role is for a Research Scientist who will be responsible for

MindSource

Research Scientist

Seattle, WA · Remote

Job Title: Research Scientist Location: Seattle, WA (Remote) Duration: 12 months contract with possible of extension Description This role is for a Research Scientist who will be responsible for

Truveta

Clinical Terminologist (Contract)

Seattle, WA · Remote

$30 - $40/hr

Clinical Terminologist ( Contract) Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster,

IT America Inc

Graph Database Architect

Bellevue, WA · Remote

$65.25 - $84/hr

Position: Graph Database Architect Location: Remote Duration: Long term contract About the Role: We are seeking an experienced Graph Database Architect to design, optimize, and implement scalable

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All JobsMachine Learning Contract JobsMachine Learning Contract Remote JobsMachine Learning Contract Remote Jobs in Seattle, WA

Machine Learning Contract Remote information

See Seattle, WA salary details

$29K

$48.5K

$100.1K

How much do machine learning contract remote jobs pay per year?

As of Sep 13, 2026, the average yearly pay for machine learning contract remote in Seattle, WA is $48,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $52,300.00 per year, depending on experience, location, and employer.

What is a machine learning contract remote job?

Machine learning contract remote jobs are temporary work opportunities where professionals use machine learning techniques to solve problems for organizations, but do so remotely, often from home or another location. These roles typically involve building, training, and deploying models, analyzing data, and collaborating with teams virtually. Contracts can vary in length and scope, allowing flexibility for both the employer and the worker. These positions are ideal for individuals seeking project-based work or more flexible schedules, and require strong technical skills and the ability to communicate effectively online.

What skills and qualifications are needed to thrive as a machine learning contractor in a remote role?

To thrive as a Machine Learning Contractor working remotely, you need strong proficiency in mathematics, programming (typically Python), and a solid understanding of machine learning algorithms, usually supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure is essential, as well as experience with version control systems like Git. Excellent self-motivation, time management, and communication skills help you effectively collaborate with distributed teams and manage multiple projects independently. These competencies are crucial for delivering high-quality, scalable solutions and meeting client expectations in a flexible, remote work environment.

What are common challenges faced by remote machine learning contractors, and how can they be addressed?

Remote machine learning contractors often face challenges such as managing communication across time zones, accessing necessary data securely, and staying aligned with the client's project expectations. To address these, it’s important to establish clear communication channels, use secure data transfer protocols, and schedule regular check-ins with project stakeholders. Building strong documentation habits and leveraging collaborative tools like version control or shared notebooks can also help ensure smooth workflow and project transparency.

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

AspectMachine Learning Contract RemoteData Scientist Contract Remote
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentRemote, project-based, often collaborative with ML engineersRemote, analytical, often cross-functional teams
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Common Search & ComparisonYesYes

Machine Learning Contract Remote roles focus on developing and deploying ML models, requiring specialized skills in algorithms and frameworks. Data Scientist Contract Remote positions emphasize data analysis, statistical modeling, and insights generation. While both roles often work remotely and share similar credentials, their core responsibilities differ, making this comparison useful for job seekers exploring related opportunities.

What are popular job titles related to Machine Learning Contract Remote jobs in Seattle, WA?

For Machine Learning Contract Remote jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Contract Remote jobs in Seattle, WA look for?

The top searched job categories for Machine Learning Contract Remote jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Machine Learning Contract Remote jobs?

Cities near Seattle, WA with the most Machine Learning Contract Remote job openings:

Machine Learning Contract Remote jobs near you

Agentic AI, Principal Machine Learning Engineer

Seattle, WA • On-site, Remote

Zillow Group, Inc.
Real Estate • 1 - 5K employees
Learn more about Zillow Group, Inc.external

$194K - $310K/yr

Full-time

Posted 14 days ago

Job description

About the team
The Agentic AI team at Zillow is at the forefront of transforming the real estate industry by helping millions of people use AI assistants to find their next home. We aim to redefine the home shopping and transaction experience by providing an always-on assistant that integrates personalized user insights with Zillow's knowledge. This lean, customer-focused team of engineers independently ships features and has the autonomy to move fast and make decisions.
About the role
As a Principal Machine Learning Engineer on the Agentic Artificial Intelligence team, you will get to:
  • Develop large-scale, fault-tolerant multimodal agentic experiences that reach millions of customers
  • Design and develop multiple agent interaction modes, including Voice AI and Deep Research.
  • Pioneer robust evaluation frameworks, tracing systems, and safety guardrails to ensure our highly-visible AI agents remain trustworthy and responsible
  • Remain on the cutting edge of emerging agentic paradigms and convert them into tangible product innovation
  • Lead complex, multi-team initiatives, bridging the gap between applied research and highly scalable engineering
  • Distill complex research findings and AI system architectures into actionable insights for a diverse audience, including executives and cross-functional partner teams

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, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia 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 technical leader who can marry state-of-the-art technology with large-scale engineering. We are looking for someone who has:
  • A master's degree or above, or equivalent experience in Computer Science, Electrical Engineering, or a related field, with emphasis on building products using frontier multimodal LLMs
  • 5+ years of experience with a proven track record of deploying large-scale ML models, with the most recent 2-3 years building agent-based systems, multi-agent collaboration, or similar paradigms
  • Experience developing engaging dialogue systems capable of long conversations, context-aware tool selection, and compliant response generation
  • Experience building AI services capable of handling hundreds of millions of daily interactions with high availability, low latency, and robust fault tolerance
  • Familiarity with various agentic AI frameworks, such as LangGraph, Agents SDK, AutoGen, and production ML infrastructure
  • A track record of writing articles, patents, and publishing high-impact research is a strong plus
  • Strong communication skills, with the ability to influence technical direction across teams and present to executive leadership

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 people 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 reshaping an industry and helping more people make home a reality.
How we work is a key part of that transformation. Through Cloud HQ, our strategic approach to distributed work, most employees have the flexibility to work from wherever they're most productive-enabling us to move fast, stay connected and deliver on our people promise.
Zillow is honored to be recognized among the best workplaces in the U.S. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2026, and included on TIME's America's Best Companies 2026 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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