Machine Learning Engineer Jobs in Seattle, WA
Machine Learning Engineer jobs in Seattle, Washington concentrate in South Lake Union, the Eastside corridor near Bellevue, and the University District, across cloud technology, e-commerce, and life sciences. Employers hiring right now include TikTok, ByteDance, and Amazon. Find a role that fits below and apply directly.
Find JobsOverview
Showing 5 of 171+ Machine Learning Engineer jobs











Responsibilities
About the Team
The TikTok U.S. Data Security (USDS) team is responsible for the security, integrity, and compliance of TikTok’s data within the United States. The Data Platform Team builds a scalable, reliable, cost-efficient infrastructure that ensures data integrity and empowers every business unit to win through self-service tools and scientific insights.
About the Role
We are seeking a Senior Machine Learning Engineer to join our team as a technical lead, driving the architecture and execution of our next-generation AI Risk & Compliance Intelligence Platform and Intelligent Data Agent Ecosystem. In this role, you will be instrumental in bridging the gap between standard prompt engineering and native, model-driven reasoning frameworks. You will tackle complex ML challenges around offline/online evaluation, synthetic data generation for small-sample scenarios, and automated agent skill optimizations across Data & Engineering workflows (DA/DS/DE/SRE).
Key Responsibilities
- Design, build, and scale robust LLM evaluation architecture, including automated offline datasets, metric suites, and benchmarking pipelines to measure prompt and model performance.
- Innovate on LLM-driven synthetic data generation methodologies to tackle data scarcity bottlenecks and systematically evaluate long-tail/edge-case risk scenarios.
- Advance beyond criteria-based prompt engineering by extracting deep risk patterns directly from complex case data to build native, ML-driven decision models and reasoning abstractions.
- Architect, evaluate, and continuously optimize modular agent skills and tools tailored for Data Science, Analytics, Data Engineering, and SRE workflows to maximize tool-use accuracy, execution efficiency, and task success rates.
- Implement advanced evaluation methodologies (such as LLM-as-a-judge and multi-agent benchmarking) across both risk intelligence and agentic ecosystems.
- Provide technical leadership by establishing core ML system design patterns, benchmarking standards, and engineering best practices, while translating complex operational requirements into scalable machine learning solutions across cross-functional partnerships.
Qualifications
Minimum Qualifications
- Experience: 5+ years of software/ML engineering experience with a strong track record of designing, building, and deploying ML/LLM systems in production.
- Generative AI & LLMs: Deep hands-on expertise with LLM architectures, fine-tuning, RAG, prompt tuning, and agentic frameworks.
- Evaluation & Data Bootstrapping: Demonstrated experience building robust LLM evaluation frameworks (LLM-as-a-judge, automated benchmark pipelines) and tackling data scarcity/imbalance problems.
- Core Engineering: Strong coding skills alongside production experience with scalable data processing pipelines.
Preferred Qualifications
- Prior domain experience in Risk & Compliance Intelligence and Automated Decision Systems.
- Hands-on experience with synthetic dataset generation or bootstrapping models for cold-start scenarios.
- Experience building AI tools or agents for technical personas (Data Analysts, Data Scientists, Data Engineers, Data SRE).
- Demonstrated ability to serve as a founding technical lead on ambiguous, high-impact initiative pods.
About USDS
TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.
On-site presence across teams allows the company to operate with greater speed, alignment, and agility — especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy – a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
USDS Reasonable Accommodation
USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $198360 - $416100 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
See All 171+ Machine Learning Engineer Jobs in Seattle
Find roles in Seattle that match your experience and apply in just a few clicks.
Find JobsMachine Learning Engineer Job Market in Seattle
Who's Hiring
- TikTok59

- ByteDance12

- Amazon10

- Amazon Web Services9

- Meta5

Top Industries Hiring
- Technology & Software22
- Electronics & Hardware6
- Insurance4
- Retail2
- Social Media2
Machine Learning Engineer Jobs in Seattle: Frequently Asked Questions
How do I get a machine learning engineer job in Seattle?
Seattle's machine learning engineer market centers on cloud infrastructure, e-commerce platforms, and biotech, so candidates who can demonstrate experience with large-scale data pipelines or deep learning frameworks stand out. Roles cluster in South Lake Union and on the Eastside, where major tech campuses dominate. Contributions to open-source projects, a strong GitHub portfolio, and familiarity with distributed systems give candidates a concrete edge with Seattle hiring teams.
Which companies hire machine learning engineers in Seattle?
Seattle machine learning engineer roles are posted by TikTok, ByteDance, and Amazon and others right now, based on current listings on Migrate Mate as of November 2026. Seattle attracts a wide range of employer types, from global tech giants and cloud platform companies to fast-growing health-tech and autonomous systems startups concentrated across South Lake Union and the greater Puget Sound region.
Are there remote machine learning engineer jobs in Seattle?
Yes, machine learning engineer work is well-suited to remote and hybrid arrangements given its heavily computational and code-driven nature. About 28% of machine learning engineer openings tied to Seattle are remote or hybrid as of November 2026, reflecting how broadly tech employers here have adopted flexible work. Roles focused on model development, experimentation, and research tend to be the most remote-friendly, while positions requiring close collaboration with hardware or on-site infrastructure lean toward hybrid.
How can I get a machine learning engineer job in Seattle with little or no experience?
The most realistic entry path in Seattle is targeting junior or associate machine learning engineer roles at mid-size tech companies and research-driven startups, which tend to be more willing to develop talent than large enterprise teams. The University of Washington and local bootcamps supply a pipeline that Seattle employers recognize, so capstone projects and research assistantships carry real weight. Lateral moves from data analyst or software engineer roles into ML-adjacent positions are also a common local on-ramp.
Which industries hire the most machine learning engineers in Seattle?
Seattle machine learning engineer roles concentrate in Technology & Software, Electronics & Hardware, and Insurance, based on current listings on Migrate Mate as of November 2026. Seattle's dominance in cloud computing and e-commerce creates sustained demand for ML talent, while the city's growing life sciences and autonomous technology sectors add additional hiring across research and applied engineering functions.
Related Jobs in Washington
See All 171+ Machine Learning Engineer Jobs in Seattle
Find roles in Seattle that match your experience and apply in just a few clicks.
Find Jobs