AI ML Platform Jobs in Washington
AI ML Platform jobs in Washington are open across Seattle and other Washington metros, with employers like Apple, Adobe, and Databricks hiring at every experience level. Find a role that fits below and apply directly.
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INTRODUCTION
Join Apple Services Engineering to build the next generation of AI evaluation systems. We are seeking machine learning platform engineers at multiple levels (Mid-Level to Principal) to architect and build high-availability services and internal tools that enable self-service evaluation at scale. You will partner with researchers to operationalize their innovations, transforming complex workflows into intuitive, developer-first platforms. We are looking for builders who thrive in the ambiguity of new initiatives and are passionate about creating scalable infrastructure.
DESCRIPTION
You will join the engineering team responsible for democratizing AI evaluation across the organization. Your focus will be on developing the developer experience—architecting and implementing the APIs, SDKs, and platform services that turn complex evaluation metrics into simple, self-service calls. You will work hand-in-hand with researchers to operationalize sophisticated measurement techniques, ensuring they scale reliably within our high-availability infrastructure. In this role, you will drive the engineering standards for a new organization, upholding the code quality, automation, and testing rigor required to support the rapid evolution of Generative AI and Agentic systems.
Responsibilities
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System Design & Implementation: Design, code, and ship high-quality Python services. For senior candidates: Lead the architecture for the core evaluation engine and distributed services. For mid-level candidates: Own the end-to-end implementation of specific features and API endpoints.
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Technical Leadership & Collaboration: Mentor junior engineers, conduct code reviews, and drive technical decision-making. Foster a culture of technical excellence and rapid delivery through example and collaboration.
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Operationalizing Science: Partner closely with Applied Scientists to translate novel metrics, judge prompts, and scoring algorithms into scalable, production-grade services. Create frameworks to evaluate not just simple responses, but also multi-turn agent trajectories and tool usage.
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System Integration: Serve as a technical bridge between the research organization and the broader engineering ecosystem, ensuring our tools integrate seamlessly with existing ML infrastructure and developer workflows.
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Engineering Rigor: Champion the software development lifecycle (SDLC) for the team, writing comprehensive automated testing (CI/CD), and instrumenting monitoring to ensure high availability and reliability.
MINIMUM QUALIFICATIONS
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2+ years of hands-on software engineering experience (or Master's degree with relevant project experience). Note: We are hiring across multiple seniority levels; expectations will scale with experience.
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Strong proficiency in the Python ecosystem (e.g., FastAPI, Pydantic, Pandas). You are capable of writing production-grade code and contributing to architectural discussions on day one.
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Customer Obsession & Product Thinking: Experience acting as a technical partner to internal customers. You can translate vague requirements from other teams into concrete engineering specifications.
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Demonstrated experience partnering with Data Scientists or Researchers: You have the ability to navigate the ambiguity of research workflows and operationalize scientific code.
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Functional literacy in AI/ML concepts: You understand the fundamental lifecycle of machine learning (datasets, training vs. inference, evaluation metrics) and can discuss the engineering challenges involved in serving models.
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Strong expertise in API Design & Internal Tools: You have built APIs that other developers rely on, with a focus on versioning, backward compatibility, and developer experience.
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Operational excellence background: You have practical experience using CI/CD pipelines, containerization (Docker/Kubernetes), and monitoring (Datadog/Prometheus).
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BS CS, Master's preferred.
PREFERRED QUALIFICATIONS
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Experience building MLOps & Platform Infrastructure: You have architected the foundational infrastructure for AI, such as model registries, inference services, or feature stores (using tools like Kubernetes, Ray, or Kubeflow).
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Deep familiarity with AI Evaluation Frameworks: You have used or contributed to modern evaluation tools like DeepEval, Ragas, TruLens, or LangSmith. You understand how to implement and scale model-based evaluation workflows.
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Deep understanding of Generative AI & Agents: You understand the engineering challenges of relying on LLMs and Agents as software components—specifically managing token economics, handling rate limits, and evaluating non-deterministic, multi-step reasoning capabilities.
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Builder Experience: You have thrived in startup-like environments, navigating high ambiguity to deliver complex technical roadmaps from scratch.
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses—including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
See All 5 AI ML Platform Jobs in Washington
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Find AI ML Platform JobsAI ML Platform Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
AI ML Platform Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- Apple3

- Adobe1

- Databricks1

Top Industries Hiring
- Electronics & Hardware3
- Technology & Software3
- Banking & Financial Services1
- Construction & Real Estate1
What Washington Employers Look For
The qualifications that appear most often in AI ML platform jobs across Washington.
- Proficiency in Python and experience building or maintaining ML pipelines at scale
- Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
- Familiarity with at least one managed ML platform such as SageMaker, Vertex AI, or Azure ML
- Experience designing or operating distributed training and model serving infrastructure
- Understanding of CI/CD principles applied to model training, evaluation, and deployment workflows
- Bachelor's or master's degree in computer science, engineering, or a closely related quantitative field
AI ML Platform Jobs in Washington: Frequently Asked Questions
How many AI ML platform jobs are there in Washington?
There are 5+ AI ML platform openings in Washington on Migrate Mate as of June 2026, with the most roles in Seattle. New positions post regularly as employers across Washington hire.
Which Washington cities have the most AI ML platform jobs?
Seattle have the most AI ML platform openings in Washington right now, with additional roles spread across smaller metros statewide.
Which companies hire AI ML platforms in Washington?
Employers hiring AI ML platforms in Washington include Apple, Adobe, and Databricks, based on current listings on Migrate Mate as of June 2026.
Are there remote AI ML platform jobs in Washington?
Yes. About 0% of AI ML platform openings tied to Washington are remote or hybrid as of June 2026. The rest are on-site roles based in Washington metros.
How do I apply for AI ML platform jobs in Washington?
You can apply to AI ML platform jobs in Washington directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred Washington location, then apply to each one that fits.
See All 5 AI ML Platform Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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