We are looking for a machine learning scientist to develop, optimize, and deploy scalable ML solutions that power content decisions at Netflix. In this role, you will: * Innovate on a suite of ...
We are looking for a machine learning scientist to develop, optimize, and deploy scalable ML solutions that power content decisions at Netflix. In this role, you will: * Innovate on a suite of ...
We are looking for a machine learning scientist to develop, optimize, and deploy scalable ML solutions that power content decisions at Netflix. In this role, you will: Innovate on a suite of ...
We are looking for a machine learning scientist to develop, optimize, and deploy scalable ML solutions that power content decisions at Netflix. In this role, you will: Innovate on a suite of ...
Senior Machine Learning Scientist - Crm Marketing
Seattle, WA · On-site
$173 - $242.50/hr
Introduction to the Team This role is part of a focused machine learning science team within Marketing that builds the ML systems behind personalized CRM offers for Expedia Group's travelers. Our ...
Senior Machine Learning Scientist - Crm Marketing
Seattle, WA · On-site
$173 - $242.50/hr
Introduction to the Team This role is part of a focused machine learning science team within Marketing that builds the ML systems behind personalized CRM offers for Expedia Group's travelers. Our ...
This role is part of a focused machine learning science team within Marketing that builds the ML systems behind personalized CRM offers for Expedia Group's travelers. Our models determine which ...
This role is part of a focused machine learning science team within Marketing that builds the ML systems behind personalized CRM offers for Expedia Group's travelers. Our models determine which ...
Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for ...
Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for ...
Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for ...
Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for ...
Machine Learning Engineer
Seattle, WA · On-site
$120K - $180K/yr
Collaborate with data scientists and flight software engineers to integrate AI capabilities into ... Proven experience deploying machine learning models into production. * Strong software engineering ...
Quick apply
Machine Learning Engineer
Seattle, WA · On-site
$120K - $180K/yr
Collaborate with data scientists and flight software engineers to integrate AI capabilities into ... Proven experience deploying machine learning models into production. * Strong software engineering ...
Machine Learning Engineer
Seattle, WA · On-site
$95 - $135/hr
Collaborate with data scientists and flight software engineers to integrate AI capabilities into ... Proven experience deploying machine learning models into production. * Strong software engineering ...
Machine Learning Engineer
Seattle, WA · On-site
$95 - $135/hr
Collaborate with data scientists and flight software engineers to integrate AI capabilities into ... Proven experience deploying machine learning models into production. * Strong software engineering ...
Director, Machine Learning Science - Marketing
Seattle, WA · On-site +1
$358K/yr
Director, Machine Learning Science - Marketing Expedia Group is looking for a Director of Machine Learning Science to lead the applied science team behind our Marketing organization. This team builds ...
Director, Machine Learning Science - Marketing
Seattle, WA · On-site +1
$358K/yr
Director, Machine Learning Science - Marketing Expedia Group is looking for a Director of Machine Learning Science to lead the applied science team behind our Marketing organization. This team builds ...
Director, Machine Learning Science - Marketing
Seattle, WA · On-site
$224 - $358.50/hr
Director, Machine Learning Science - Marketing Expedia Group is looking for a Director of Machine Learning Science to lead the applied science team behind our Marketing organization. This team builds ...
Director, Machine Learning Science - Marketing
Seattle, WA · On-site
$224 - $358.50/hr
Director, Machine Learning Science - Marketing Expedia Group is looking for a Director of Machine Learning Science to lead the applied science team behind our Marketing organization. This team builds ...
Machine Learning Engineer
Bellevue, WA · On-site
$161.14 - $200/hr
Work closely with other engineering teams, data scientists, and the marketing team to integrate machine learning models into the product and ensure they meet business requirements. Present results to ...
Machine Learning Engineer
Bellevue, WA · On-site
$161.14 - $200/hr
Work closely with other engineering teams, data scientists, and the marketing team to integrate machine learning models into the product and ensure they meet business requirements. Present results to ...
Machine Learning Engineer
Bellevue, WA · On-site
$161.14 - $200/hr
Work closely with other engineering teams, data scientists, and the marketing team to integrate machine learning models into the product and ensure they meet business requirements. Present results to ...
Machine Learning Engineer
Bellevue, WA · On-site
$161.14 - $200/hr
Work closely with other engineering teams, data scientists, and the marketing team to integrate machine learning models into the product and ensure they meet business requirements. Present results to ...
Study and transform data science prototypes * Design machine learning systems * Research and ... implement appropriate ML algorithms and tools * Develop machine learning applications according to ...
Study and transform data science prototypes * Design machine learning systems * Research and ... implement appropriate ML algorithms and tools * Develop machine learning applications according to ...
Machine Learning Engineer
Bellevue, WA · On-site
Work closely with other engineering teams, data scientists, and the marketing team to integrate machine learning models into the product and ensure they meet business requirements. Present results to ...
Machine Learning Engineer
Bellevue, WA · On-site
Work closely with other engineering teams, data scientists, and the marketing team to integrate machine learning models into the product and ensure they meet business requirements. Present results to ...
Study and transform data science prototypes * Design machine learning systems * Research and ... implement appropriate ML algorithms and tools * Develop machine learning applications according to ...
Quick apply
Study and transform data science prototypes * Design machine learning systems * Research and ... implement appropriate ML algorithms and tools * Develop machine learning applications according to ...
Machine Learning Engineer
Seattle, WA · On-site
$175 - $308.50/hr
PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields. At Apple, base pay is one part of our total compensation package and is ...
Machine Learning Engineer
Seattle, WA · On-site
$175 - $308.50/hr
PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields. At Apple, base pay is one part of our total compensation package and is ...
Applied Scientist, AI
$195K - $205K/yr
Apply advanced machine learning techniques to analyze large and complex datasets, extract ... Master's degree in Computer Science, Artificial Intelligence, or a related field with a focus on ...
Applied Scientist, AI
$195K - $205K/yr
Apply advanced machine learning techniques to analyze large and complex datasets, extract ... Master's degree in Computer Science, Artificial Intelligence, or a related field with a focus on ...
Applied Scientist, AI
Seattle, WA · On-site
$195K - $205K/yr
Apply advanced machine learning techniques to analyze large and complex datasets, extract ... Master's degree in Computer Science, Artificial Intelligence, or a related field with a focus on ...
Applied Scientist, AI
Seattle, WA · On-site
$195K - $205K/yr
Apply advanced machine learning techniques to analyze large and complex datasets, extract ... Master's degree in Computer Science, Artificial Intelligence, or a related field with a focus on ...
Responsibilities : • Study and transform data science prototypes • Design machine learning systems • Research and implement appropriate ML algorithms and tools • Develop machine learning ...
Responsibilities : • Study and transform data science prototypes • Design machine learning systems • Research and implement appropriate ML algorithms and tools • Develop machine learning ...
Senior Machine Learning Scientist, Agentic AI & GenAI Systems (Growth Marketing)
Seattle, WA · On-site
$173 - $242.50/hr
Sr. Machine Learning Scientist, Agentic AI & GenAI Systems (Growth Marketing) We create and deliver tailored marketing strategies for Expedia Group's brands, focusing on establishing strong ...
Senior Machine Learning Scientist, Agentic AI & GenAI Systems (Growth Marketing)
Seattle, WA · On-site
$173 - $242.50/hr
Sr. Machine Learning Scientist, Agentic AI & GenAI Systems (Growth Marketing) We create and deliver tailored marketing strategies for Expedia Group's brands, focusing on establishing strong ...
Machine Learning Scientist information
See Seattle, WA salary details
$85K - $96.9K
1% of jobs
$96.9K - $108.8K
1% of jobs
$108.8K - $120.7K
6% of jobs
$120.7K - $132.6K
14% of jobs
$134K is the 25th percentile. Wages below this are outliers.
$132.6K - $144.5K
20% of jobs
The median wage is $149.3K / yr.
$144.5K - $156.4K
17% of jobs
$167.3K is the 75th percentile. Wages above this are outliers.
$156.4K - $168.3K
16% of jobs
$168.3K - $180.2K
10% of jobs
$180.2K - $192.1K
5% of jobs
$192.1K - $204K
4% of jobs
$204K - $215.9K
4% of jobs
$85K
$154.1K
$215.9K
How much do machine learning scientist jobs pay per year?
As of Aug 17, 2026, the average yearly pay for machine learning scientist in Seattle, WA is $154,140.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,665.00 and $171,546.00 per year, depending on experience, location, and employer.
What is a machine learning scientist?
A Machine Learning Scientist researches, develops, and applies machine learning models to solve complex problems. They work on designing algorithms, improving model performance, and analyzing large datasets to extract valuable insights. Their role often involves experimenting with new techniques, optimizing existing models, and collaborating with engineers and data scientists to deploy solutions. Machine Learning Scientists typically have expertise in statistics, mathematics, and programming languages like Python. They work in industries such as healthcare, finance, and technology to drive innovation using artificial intelligence.
What does a machine learning scientist do?
A typical day for a Machine Learning Scientist involves collecting and analyzing large datasets, designing and training machine learning models, and evaluating model performance to ensure accuracy and reliability. You'll often collaborate with data engineers, software developers, and domain experts to define project goals, prepare data, and integrate solutions into production systems. Regular team meetings, code reviews, and brainstorming sessions are common, fostering an environment of shared learning and problem-solving. This collaborative structure not only enhances project outcomes but also offers valuable opportunities for continuous professional growth and skill development.
What skills and qualifications are needed to be a machine learning scientist?
To thrive as a Machine Learning Scientist, you need strong skills in mathematics, statistics, programming (typically in Python or R), and a graduate degree in computer science, data science, or a related field. Expertise in machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), proficiency with data processing tools, and experience with cloud platforms (like AWS or GCP) are commonly required; certifications in these can be advantageous. Critical thinking, problem-solving, and effective communication are important soft skills for collaborating with cross-functional teams and conveying complex concepts. These abilities enable Machine Learning Scientists to build effective models, deliver actionable insights, and drive innovation within organizations.
Is machine learning a high paying job?
Machine Learning Scientists typically earn high salaries due to the specialized skills required, such as programming, statistical analysis, and experience with tools like Python and TensorFlow. Salaries vary by industry, experience, and location but are generally above average compared to many other tech roles.
What are the most commonly searched types of Machine Learning Scientist jobs in Seattle, WA?
The most popular types of Machine Learning Scientist jobs in Seattle, WA are:
What are popular job titles related to Machine Learning Scientist jobs in Seattle, WA?
For Machine Learning Scientist jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Scientist jobs in Seattle, WA look for?
The top searched job categories for Machine Learning Scientist jobs in Seattle, WA are:
Full-time
Medical, Life, Retirement, PTO
Re-posted 17 days ago
Netflix rating
5.8
Based on 15 frontline employees who took The Breakroom Quiz
70th of 76 rated media
Job description
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next.
The Content & Conversation Modeling team delivers high-leverage ML solutions using Netflix's unique media data, driving decisions across content strategy, acquisition, scheduling, and advertising. Our models are used to predict engagement, forecast title performance, assess catalog strength, and so much more. We are looking for a machine learning scientist to develop, optimize, and deploy scalable ML solutions that power content decisions at Netflix.
In this role, you will:
To be successful in this role, you have:
Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $300,000.00 - $537,000.00.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
The Content & Conversation Modeling team delivers high-leverage ML solutions using Netflix's unique media data, driving decisions across content strategy, acquisition, scheduling, and advertising. Our models are used to predict engagement, forecast title performance, assess catalog strength, and so much more. We are looking for a machine learning scientist to develop, optimize, and deploy scalable ML solutions that power content decisions at Netflix.
In this role, you will:
- Innovate on a suite of predictive models to help inform our content strategy.
- Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation, scheduling, and performance.
- Partner closely with our analytics teams as they leverage our models on the ground both in the US and globally.
- Own the end-to-end ML model development lifecycle, from ideation and feature engineering, to model training, evaluation, deployment, monitoring, and continuous improvement.
- Inform and influence data and ML infrastructure development through partnership with data engineer, ML Ops, and ML Platform teams.
- Live Netflix values while bringing a new perspective to continue improving our culture.
To be successful in this role, you have:
- An ability to navigate ambiguous problem spaces with a passion for translating them into practical technical solutions, including a track-record of delivering business solutions leveraging Machine Learning.
- Exceptional communication skills. Able to explain complex technical concepts clearly to cross-functional partners with differing technical backgrounds.
- Deep familiarity with the ML lifecycle and strong technical judgment when assessing different solutions for deploying models in production.
- A passion for scaling your ML solutions in collaboration with your team. You seek to build modularly, for resilience, and in ways where others can take on your code when you're away.
- Strong experience in Python and a ML/DL framework (e.g., scikit-learn, Keras, PyTorch, TensorFlow, MetaFlow, JAX)
- An advanced degree (MS or PhD) in Computer Science, Economics, Physics, Statistics, Mathematics, or a related technical field with a focus on machine learning and predictive modeling.
- Relevant experience in one or more machine learning roles.
- An appreciation of the creative and entertainment industry is definitely a plus.
Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $300,000.00 - $537,000.00.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
About Netflix
Sourced by ZipRecruiter
Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.
Industry
Arts, entertainment, and recreation
Company size
5,001 - 10,000 Employees
Headquarters location
Los Gatos, CA, US
Year founded
1997