Top 1800 Machine learning Jobs in Seattle, 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
Machine Learning Engineer
Adisys Corporation —Bellevue, WA
- Full-time
- Software development
- Entry level
Data Analyst
GOCOOL —Bellevue, WA
- Mid-level
- Teaching
Machine Learning Engineer
Constellation Space —Seattle, WA
- $120,000 - $180,000 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
Quick Apply
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
Machine Learning Engineer - On-Device Adaptive Control
Apple —Seattle, WA
- $142,300 - $214,300 a year
- Computer Science
- Bachelor of Science
- System design
- Employee stock purchase plan
- Health insurance
14d
2027 | Americas | Bellevue | Engineering | New Analyst
Goldman Sachs —Seattle, WA
- Full-time
- Machine learning
- Entry level
Contract Student Worker: Analyst (Full-time)
Zoox —Seattle, WA
- $30 an hour
- Email
- Bachelor of Science
- Office
- Math
Quick Apply
Member of Technical Staff - Model Training
SpaceXAI —Seattle, WA
- $180,000 - $600,000 a year
- No experience needed
- Communication skills
- Entry level
- Disability insurance
- Health insurance
Quick Apply
Senior Technical Program Manager, RL Gyms, Frontier AI RL Gym Assets
Amazon.com Services LLC —Bellevue, WA
- $148,700 - $201,200 a year
- Full-time
- Computer science
- Engineering
- 3 years
- AD&D insurance
- Health insurance
4d
Analytics Engineer - AI Trainer
DataAnnotation —Seattle, WA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
Staff Software Engineer - AI Trainer
DataAnnotation —Bothell, WA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Site Reliability Engineer SRE – Generative AI Platform
HTC Global —Seattle, WA
- $101,000 - $160,000 a year
- Full-time
- Background check
- Computer science
- Azure
- Health savings account
- Relocation assistance
Quick Apply
Aerodynamics Expert - AI Trainer
micro1 —Kent, WA
- $80 - $130 an hour
- Contract
- Remote
- No experience needed
- 8 years
- Analysis skills
- Flexible schedule
Quantitative AI Evaluator - AI Trainer
DataAnnotation —Bellevue, WA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Principle AI Architect
Weyerhaeuser —Seattle, WA
- $135,500 - $203,300 a year
- Full-time
- Azure
- Computer Science
- Master's degree
- Paid parental leave
- Health savings account
5d
Product Analyst - AI Trainer
DataAnnotation —Bellevue, WA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Manager, SAP AI & Agent Governance
KPMG —Seattle, WA
- $114,095 - $268,180 a year
- Full-time
- 5 years
- High school diploma or GED
- US work authorization
- Disability insurance
- Health insurance
3d
HAI Data Operations EPM - Seattle, WA - Hybrid
Experis —Redmond, WA
- $46 an hour
- Contract
- Computer science
- Computer Science
- 5 years
Quick Apply
4d
AI Engineer - Automation/Robotics 3 [212581]
Aquent Talent —Redmond, WA
- $94 - $102 an hour
- Computer science
- Computer Science
- 5 years
- Health insurance
- Dental insurance
5d

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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 jobs in seattle, wa

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

Machine Learning Engineer

Data Analyst

Machine Learning Engineer

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

Machine Learning Engineer - On-Device Adaptive Control

2027 | Americas | Bellevue | Engineering | New Analyst

Contract Student Worker: Analyst (Full-time)

Member of Technical Staff - Model Training

Senior Technical Program Manager, RL Gyms, Frontier AI RL Gym Assets

Analytics Engineer - AI Trainer

Staff Software Engineer - AI Trainer

Site Reliability Engineer SRE – Generative AI Platform

Aerodynamics Expert - AI Trainer

Quantitative AI Evaluator - AI Trainer

Principle AI Architect

Product Analyst - AI Trainer

Manager, SAP AI & Agent Governance

HAI Data Operations EPM - Seattle, WA - Hybrid

AI Engineer - Automation/Robotics 3 [212581]

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