Top 34 Lead machine learning engineer Jobs in Bellevue, Wa

Lead Data Scientist, Ad Research
Disney Entertainment and ESPN Product & Technology —Seattle, WA
- $155,700 - $208,700 a year
- Computer science
- 7 years
- Computer Science
Tech Lead- E-commerce Recommendation Infrastructure - Seattle
TikTok —Seattle, WA
- $232,560 - $427,500 a year
- Computer Science
- 5 years
- System design
- Paid parental leave
- Paid holidays
Tech Lead (Backend) - Trust and Safety (Seattle)
TikTok —Seattle, WA
- $232,560 - $427,500 a year
- Management
- Computer Science
- System design
- Paid parental leave
- Paid holidays
Tech Lead (Backend/Fullstack) - Trust and Safety (Seattle)
TikTok —Seattle, WA
- $202,160 - $368,220 a year
- Computer science
- Management
- Computer Science
- Paid parental leave
- Paid holidays
AIML - Sr Lead Engineer, Evaluation
Apple —Seattle, WA
- $205,400 - $374,300 a year
- Computer science
- Computer Science
- Bachelor of Science
- Employee stock purchase plan
- Health insurance
Engineering Leader, Data Engineering
Apple —Seattle, WA
- $295,600 - $472,200 a year
- Continuous improvement
- Senior level
- Leadership
- Employee stock purchase plan
- Health insurance
Lead Software Engineer - Java Backend
JPMorganChase —Seattle, WA
- $152,000 - $215,000 a year
- Full-time
- 5 years
- Java
- Senior level
- Health insurance
- Tuition reimbursement
8d
Lead Product Manager, Data and AI Products
Mindbody —Seattle, WA
- $150,000 - $205,000 a year
- Remote
- Product management
- Agile
- Senior level
Quick Apply
Technical Lead - Compute Platform and Optimization
Overland AI —Seattle, WA
- $200,000 - $260,000 a year
- 7 years
- Computer Science
- Bachelor of Science
- Health insurance
- Dental insurance
3d
Senior Full-Stack Lead Engineer
NVIDIA —Seattle, WA
- $224,000 - $356,500 a year
- Full-time
- Computer science
- Azure
- Computer Science
Tech Lead-Machine Learning Engineer (Agent & Multi-Agent Systems) – AIGC Risk Intelligence
TikTok —Seattle, WA
- $232,560 - $427,500 a year
- 5 years
- Office
- Mentoring
- Paid parental leave
- Paid holidays
Technical Lead - State Estimation
Overland AI —Seattle, WA
- $200,000 - $260,000 a year
- Computer science
- Computer Science
- Research
- Health insurance
- Dental insurance
13d
Lead Software Engineer - Infrastructure Platforms
JPMorganChase —Seattle, WA
- $152,000 - $215,000 a year
- Full-time
- 5 years
- System design
- Java
- Health insurance
- Tuition reimbursement
Senior Program Lead, Digital Fraud & Abuse
GEICO —Seattle, WA
- $120,000 - $260,000 a year
- Full-time
- Continuous improvement
- APIs
- Senior level
Display Integration Lead
Meta —Redmond, WA
- $173,000 - $245,000 a year
- Master's degree
- 8 years
- Mentoring
Lead Principal Machine Learning Engineer
Oracle —Seattle, WA
- Computer Science
- 11+ years
- Research
6d
Product Lead, Gmail Life Management, Shopping, Ads, Wallet
Google —Seattle, WA
- $240,000 - $334,000 a year
- Full-time
- Office
- 3 years
- Bachelor's degree
- Paid holidays
- Disability insurance
3d
Software Development Engineer, Lead Management and Account-Based Marketing Tech
Amazon Web Services, Inc. —Seattle, WA
- $143,700 - $194,400 a year
- Full-time
- Computer science
- Computer Science
- Master's degree
- AD&D insurance
- Health insurance
AI/ML Technical Lead
Globenet Consulting Corp —Bellevue, WA
- $130,000 - $155,000 a year
- Full-time
- Computer Science
- Research
- Office
- Opportunities for advancement
Quick Apply
23h
Senior Lead Product Manager - Risk Platform
BILL —Seattle, WA
- $191,500 - $239,400 a year
- Remote
- System design
- 8 years
- Product management
- Health savings account
- Employee stock purchase plan
Quick Apply

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lead machine learning engineer jobs near bellevue, wa

Lead Data Scientist, Ad Research

Disney Entertainment and ESPN Product & Technology
Seattle, WA

Apply Now

Job Details

$155,700 - $208,700 a year

Qualifications

AI models
Statistics
Data visualization software proficiency
Statistics
Generative models
Application development
Machine intelligence
Developing large-scale AI models
Model evaluation
Data visualization projects
Generative AI
Data analysis software

Full Job Description

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Here are a few reasons why we think you’d love working here:

Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.
Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Ad Platforms is responsible for Disney’s industry-leading ad technology and products – driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content, across all media platforms.

The research/AI team is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance ad decisioning, forecasting, experimentation and ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy.

As a Lead Data Scientist, you will spearhead ML and data science initiatives that shape the future of advertising technology. You will support generative AI production development through rigorous evaluation and data generation pipelines. You will be responsible for designing and executing ML and data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization, as well leading evaluation and optimization of generative AI mixed media advertisement creation and enhancement technologies.

WHAT YOU’LL DO

Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising serving, including inventory forecasting, ad experience, ad pacing, pricing, targeting, advertising creation and enhancement, and efficient ad delivery.
Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround.
Develop rigorous evaluation pipelines for generative AI technologies, including visual generations (image, video) and/or LLM-based agentic generations.
Define and evaluate key metrics in various product areas.
Partner closely with generative AI specialists to support the creation of datasets for generative AI modeling applications.
Develop Standard Operating Procedures for human-driven evaluations or labeling.
Deliver data insights and provide data-driven recommendations to cross-team stakeholders.
Design and analyze A/B tests for machine learning algorithm iterations.
Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment.
Mentor team members and support their technical growth.

WHAT TO BRING

Bachelor's in computer science, statistics or equivalent experience
At least 7 years of relevant industry experience in data science at leading internet or creative technology companies. Experience in the advertising domain is a strong bonus.
Experience creating ML datasets and rigorous dataset labeling or evaluation processes for models.
Strong interest to learn about generative mixed media, generative video, and diffusion-based technology.
Solid knowledge of data science and statistics. Strong communication skills and business acumen.
Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools.
Experience designing and building machine learning models.
Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness.
Interested in supporting rapid prototyping, generative AI, and creative technologies, including applications to advertisement creation and enhancement.
Experienced building data-driven services and applications for production.
A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required.

NICE-TO-HAVES

MS or PhD in computer science, statistics or equivalent experience
Experience in digital video advertising or digital marketing domain
Experience in production-grade development, rapid prototyping, or generative AI related research using LLMs, generative imagery or video, or agentic flows. Otherwise a strong interest to learn.
Experience with Airflow, data warehouse, Databricks or Sagemaker.

#DISNEYTECH

The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Apply Now

Refine Your Search

lead machine learning engineer jobs in bellevue, wa

Lead Data Scientist, Ad Research

Tech Lead- E-commerce Recommendation Infrastructure - Seattle

Tech Lead (Backend) - Trust and Safety (Seattle)

Tech Lead (Backend/Fullstack) - Trust and Safety (Seattle)

AIML - Sr Lead Engineer, Evaluation

Engineering Leader, Data Engineering

Lead Software Engineer - Java Backend

Lead Product Manager, Data and AI Products

Technical Lead - Compute Platform and Optimization

Senior Full-Stack Lead Engineer

Tech Lead-Machine Learning Engineer (Agent & Multi-Agent Systems) – AIGC Risk Intelligence

Technical Lead - State Estimation

Lead Software Engineer - Infrastructure Platforms

Senior Program Lead, Digital Fraud & Abuse

Display Integration Lead

Lead Principal Machine Learning Engineer

Product Lead, Gmail Life Management, Shopping, Ads, Wallet

Software Development Engineer, Lead Management and Account-Based Marketing Tech

AI/ML Technical Lead

Senior Lead Product Manager - Risk Platform

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