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Machine Learning Contract Jobs in Snohomish, WA (NOW HIRING)

Docugami

Data Science PhD Intern

Kirkland, WA

... contracts, can assist users in creating new documents more efficiently and consistently, and can ... We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ...

Staffingine LLC

Artificial Intelligence Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Contract * Lead the development and deployment of machine learning models and analytical solutions for business problems. * Partner with stakeholders to identify opportunities for data science to add ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

... contracts, can assist users in creating new documents more efficiently and consistently, and can ... We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ...

Amazon

Applied Scientist, FinTelligence

Bellevue, WA · On-site

... contract intelligence to cash application to financial data investigation, not a single narrow use ... building machine learning models or developing algorithms for business application - Experience ...

YO AI Labs

Senior Software Engineer - Remote

Seattle, WA · Remote

$139K - $183K/yr

Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

CCSWW

Contracts & Compliance Specialist

Seattle, WA

$29.18 - $32.46/hr

Interested in learning about the administrative duties and contractual obligations of a large ... Be responsible for ensuring compliance with strict review procedures, negotiating contract language ...

CCSWW

Contracts & Compliance Specialist

Seattle, WA · On-site

$29.18/hr

Interested in learning about the administrative duties and contractual obligations of a large ... Be responsible for ensuring compliance with strict review procedures, negotiating contract language ...

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Showing results 21-40

All JobsMachine Learning Contract JobsMachine Learning Contract Jobs in Snohomish, WA

Machine Learning Contract information

See Snohomish, WA salary details

$15

$25

$33

How much do machine learning contract jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for machine learning contract in Snohomish, WA is $25.01, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $27.93 per hour, depending on experience, location, and employer.

What is a machine learning contract?

A Machine Learning Contract job is a temporary or project-based role where professionals develop and implement machine learning models for a company. Contractors may work on tasks such as data preprocessing, model training, evaluation, and deployment. These roles are often remote or short-term, allowing companies to hire expertise for specific projects without long-term commitments.

What are the key skills and qualifications needed to thrive in a machine learning contract, and why are they important?

To thrive as a Machine Learning Contract professional, you need a solid background in programming (Python, R), data analysis, and machine learning algorithms, usually supported by a relevant degree in computer science or a related field. Familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as experience with cloud platforms like AWS or Azure, is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills in contract-based roles. These competencies are crucial for efficiently delivering project-based solutions, collaborating with clients, and staying adaptable to varied organizational needs.

What are the typical responsibilities and workflow for a machine learning contract?

As a Machine Learning Contract professional, you’ll often be brought in to design, build, and deploy machine learning models tailored to a client’s specific challenges, ranging from data preprocessing and exploratory analysis to model selection and performance tuning. You may also be responsible for documenting your work, presenting results to stakeholders, and advising on best practices for model integration. Contract positions frequently involve collaborating remotely with cross-functional teams and meeting project milestones within set timelines. This role is ideal for those who enjoy variety, autonomy, and leveraging their expertise across different industries and datasets.

What are the most commonly searched types of Machine Learning jobs in Snohomish, WA?

The most popular types of Machine Learning jobs in Snohomish, WA are:

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

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

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

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

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

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

Machine Learning Contract jobs near you
Infographic showing various Machine Learning Contract job openings in Snohomish, WA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $52,020 per year, or $25 per hour.

AI Product Manager - Order-to-Cash Automation & Intelligence

Inabia Solutions and Consulting, Inc.

Redmond, WA • On-site

$75 - $80/hr

Full-time

Re-posted 7 hours ago

Job description

  • AI Product Manager - Order-to-Cash Automation & Intelligence
  • Location: Redmond, WA (Onsite - 5 Days per Week)
  • Employment Type: Long-Term Contract (W-2 Only)
  • Work Authorization: U.S. Citizen or Green Card Holder Only (No Sponsorship Available)
  • Compensation: $75.00 - $80.00 per hr.
Overview
Inabia Solutions & Consulting is seeking an experienced AI Product Manager to drive the strategy, development, and deployment of AI-powered solutions that enhance and automate critical Order-to-Cash (O2C) business processes.
This role will focus on identifying opportunities to leverage Generative AI, Machine Learning, Intelligent Automation, and Agentic AI capabilities to improve operational efficiency, customer experience, fraud detection, billing accuracy, tax compliance, order processing, and revenue lifecycle management.
The ideal candidate combines strong Product Management expertise with practical experience implementing AI-driven business solutions within large-scale eCommerce, subscription, telecommunications, financial services, or technology environments.
This is a highly visible role requiring close collaboration with Product, Engineering, Finance, Operations, Risk, Fraud, Tax, Compliance, and Customer Experience teams.
Key Responsibilities
AI Product Strategy
  • Identify high-value opportunities to apply AI and automation across the Order-to-Cash lifecycle.
  • Develop AI product roadmaps aligned with business objectives and operational efficiency goals.
  • Prioritize AI initiatives based on customer impact, risk reduction, revenue protection, and operational scalability.
  • Build business cases and success metrics for AI-powered solutions.
Order-to-Cash Process Optimization
Drive AI capabilities across:
  • Customer onboarding
  • Product catalog management
  • Pricing and promotions
  • Order validation
  • Fraud detection and prevention
  • Billing and invoicing
  • Subscription lifecycle management
  • Tax determination and compliance
  • Returns and refunds
  • Revenue assurance and reconciliation
  • Customer support automation
Product Delivery & Execution
  • Define product requirements, user stories, acceptance criteria, and success metrics.
  • Partner with Engineering teams to design, build, test, and deploy AI-powered applications and tools.
  • Collaborate with Data Science, Machine Learning, and Analytics teams to operationalize AI models.
  • Lead Agile ceremonies and product planning activities.
  • Manage product lifecycle from ideation through deployment and continuous improvement.
AI & Intelligent Automation
Support initiatives involving:
  • Generative AI (LLMs)
  • AI Assistants and Copilots
  • Agentic AI workflows
  • Intelligent Document Processing
  • Predictive Analytics
  • Fraud Detection Models
  • Conversational AI
  • Recommendation Engines
  • Workflow Automation
  • Customer Service Automation
Stakeholder Management
  • Partner with Finance, Tax, Compliance, Fraud Operations, Legal, Customer Experience, and Engineering leadership.
  • Present AI product strategy, roadmap progress, risks, and business outcomes to executive stakeholders.
  • Drive alignment across technical and business teams.
Required Qualifications
  • 7+ years of Product Management experience.
  • 3+ years leading AI, Machine Learning, Intelligent Automation, or Generative AI initiatives.
  • Experience managing products supporting Order-to-Cash, eCommerce, Billing, Payments, Subscription Management, Revenue Operations, or Financial Systems.
  • Strong experience writing:
    • Product Requirements Documents (PRDs)
    • Business Requirements Documents (BRDs)
    • User Stories
    • Acceptance Criteria
  • Experience working in Agile/Scrum environments.
  • Strong understanding of business process automation and workflow optimization.
  • Excellent communication and stakeholder management skills.
  • Experience collaborating with Engineering, Data Science, and Business Operations teams.
Preferred Qualifications
  • Experience supporting Amazon, Kuiper, Microsoft, Comcast, Verizon, T-Mobile, or similar high-scale organizations.
  • Experience with:
    • OpenAI
    • Anthropic Claude
    • Amazon Bedrock
    • Azure OpenAI
    • AWS AI Services
    • Google Vertex AI
  • Knowledge of Fraud Operations, Billing, Tax, Revenue Assurance, or Financial Compliance.
  • Experience building AI copilots, agents, or intelligent workflow tools.
  • Familiarity with Jira, Confluence, SQL, Tableau, Power BI, or similar platforms.

Apply