Top 1073 Machine learning engineer Jobs in Pacific Wa

Machine Learning Engineer Graduate (Tech and Product, USDS) - 2027 Start
TikTok USDS JV —Seattle, WA
- $100,320 - $177,840 a year
- Multiple hires
- Hybrid work
- Computer Science
- System design
- Fair chance
- Paid parental leave
- Paid holidays
Backend Software Engineer Graduate (Risk & Response) - 2027 Start
TikTok —Seattle, WA
- $121,600 - $243,200 a year
- Multiple hires
- Computer science
- Computer Science
- System design
- Paid parental leave
- Paid holidays
Software Engineer I
Uber —Seattle, WA
- $153,000 - $169,000 a year
- Full-time
- Computer Science
- System design
- Office
5d
Machine Learning Engineer Graduate (E-Commerce) - 2027 Start
TikTok USDS JV —Seattle, WA
- $100,320 - $177,840 a year
- Multiple hires
- Hybrid work
- Computer Science
- Java
- Fair chance
- Paid parental leave
- Paid holidays
14d
Android Software Engineer - AI Trainer
DataAnnotation —Bellevue, WA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Senior Network Engineer
Threshold Communications —Seattle, WA
- $100,000 - $125,000 a year
- Full-time
- Azure
- System design
- English
14d
Application Engineer - AI Trainer
DataAnnotation —Seattle, WA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Software Engineer - AI Trainer
DataAnnotation —Washington State
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Principal Data Scientist
Weyerhaeuser —Seattle, WA
- $131,082 - $196,766 a year
- Full-time
- Azure
- Computer Science
- Master's degree
- Paid parental leave
- Health savings account
Accessibility QA Engineer - AI Trainer
DataAnnotation —Seattle, WA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Manager, Machine Learning Engineering - Ad Platforms
Disney Entertainment and ESPN Product & Technology —Seattle, WA
- $171,600 - $241,000 a year
- On call
- Azure
- Computer Science
- System design
Sr Enterprise Architect
Weyerhaeuser —Seattle, WA
- $144,790 - $217,185 a year
- Full-time
- Computer science
- Azure
- Computer Science
- Paid parental leave
- Health savings account
Senior Machine Learning Engineering Manager, Ad Platforms
Disney Entertainment and ESPN Product & Technology —Seattle, WA
- $207,400 - $291,500 a year
- On call
- Azure
- Computer Science
- System design
Senior AI Architect
Weyerhaeuser —Seattle, WA
- $135,500 - $203,300 a year
- Full-time
- Azure
- Computer Science
- Java
- Paid parental leave
- Health savings account
Senior AI/ML Applied Scientist - Remote
UnitedHealth Group —Bellevue, WA
- $130,000 - $162,500 a year
- Full-time
- Remote
- Computer Science
- Pass drug screening
- 3 years
Machine Learning Engineer Graduate (Recommendations and Search) - 2027 Start
TikTok USDS JV —Seattle, WA
- $100,320 - $177,840 a year
- Multiple hires
- Hybrid work
- Computer Science
- System design
- Fair chance
- Paid parental leave
- Paid holidays
14d
Production Engineering
Meta —Bellevue, WA
- $122,000 - $181,000 a year
- On call
- Computer science
- Computer Science
- Bachelor of Science
Software Engineer, Recommendations - USDS
TikTok USDS JV —Seattle, WA
- $129,960 - $246,240 a year
- Hybrid work
- Computer science
- Computer Science
- System design
- Paid parental leave
- Paid holidays
Machine Learning Engineer Graduate (Risk & Integrity) - 2027 Start
TikTok USDS JV —Seattle, WA
- $100,320 - $177,840 a year
- Multiple hires
- Hybrid work
- Computer Science
- C++
- Fair chance
- Paid parental leave
- Paid holidays
14d
Machine Learning Engineer Graduate (E-Commerce) - 2027 Start (PhD)
TikTok USDS JV —Seattle, WA
- $129,960 - $246,240 a year
- Hybrid work
- Computer Science
- Java
- Doctor of Philosophy
- Paid parental leave
- Paid holidays
12d

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Machine Learning Engineer Graduate (Tech and Product, USDS) - 2027 Start

TikTok USDS JV
Seattle, WA

Apply Now

Job Details

$100,320 - $177,840 a year

Benefits

Paid parental leave
Paid holidays
Disability insurance
Health insurance
Dental insurance
RSU
Parental leave
Vision insurance
401(k) matching
Life insurance
Paid sick time

Qualifications

Data structures
System design
Machine intelligence
Machine learning (ML) fundamentals
AI

Full Job Description

Seattle

Regular

R&D

Future Talent 2027 - Bachelor/Master Graduates

Job ID: A97354A

Responsibilities

About the team The Tech and Product team of TikTok USDS is missioned to empower TikTok US users to have a great user experience with strong data security and privacy protections, focusing on compliance, reliability, business and product support, and efficiency improvement. As part of this team, you will build and scale high-impact Machine Learning solutions—including recommendation engines, search relevance, and e-commerce systems—designed specifically to deliver personalized, high-performing experiences while ensuring world-class data governance, privacy compliance, and system security for US users. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Depending on the team that you'll be considered for, you can expect to: - Design, build, train, and evaluate machine learning models for recommendation systems, search ranking, query understanding, or conversion prediction. - Implement efficient pipelines for feature extraction, model training, evaluation, offline-to-online deployment, and A/B testing. - Process and analyze massive user behavior data and catalog logs using distributed systems to construct real-time and offline features. - Optimize online inference latency and system throughput for high-QPS production microservices. - Conduct continuous A/B testing, analyze online metrics, identify bottleneck areas, and iterate on models to drive business goals.

Qualifications

Minimum Qualification(s): - Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Computer Science, Engineering, Math, Statistics, or a related discipline. - Solid background in Data Structures, Algorithms, Computer Systems, and Software Design. - Strong theoretical understanding and practical knowledge of machine learning concepts. Preferred Qualification(s): - Prior internship or project experience in Recommendation Systems, Search Engine, Computational Advertising, or E-Commerce AI - Experience with distributed computing frameworks

Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $100320 - $177840 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.

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

Apply Now

Refine Your Search

machine learning engineer jobs in pacific wa

Machine Learning Engineer Graduate (Tech and Product, USDS) - 2027 Start

Backend Software Engineer Graduate (Risk & Response) - 2027 Start

Software Engineer I

Machine Learning Engineer Graduate (E-Commerce) - 2027 Start

Android Software Engineer - AI Trainer

Senior Network Engineer

Application Engineer - AI Trainer

Software Engineer - AI Trainer

Principal Data Scientist

Accessibility QA Engineer - AI Trainer

Manager, Machine Learning Engineering - Ad Platforms

Sr Enterprise Architect

Senior Machine Learning Engineering Manager, Ad Platforms

Senior AI Architect

Senior AI/ML Applied Scientist - Remote

Machine Learning Engineer Graduate (Recommendations and Search) - 2027 Start

Production Engineering

Software Engineer, Recommendations - USDS

Machine Learning Engineer Graduate (Risk & Integrity) - 2027 Start

Machine Learning Engineer Graduate (E-Commerce) - 2027 Start (PhD)

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