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Makeup Modeling Jobs in Seattle, WA (NOW HIRING)

Perform makeup applications, skincare analysis, and product demonstrations with guests to drive ... Model a culture of teamwork and guest service excellence by working alongside the leadership team ...

Perform makeup applications, skincare analysis, and product demonstrations with guests to drive ... Model a culture of teamwork and guest service excellence by working alongside the leadership team ...

Perform makeup applications, skincare analysis, and product demonstrations with guests to drive ... Model a culture of teamwork and guest service excellence by working alongside the leadership team ...

Strategy & Consulting is one of five services that make up one Accenture - the others are ... Designed or assessed operating model (roles, responsibilities), governance, or risk & control ...

Sellers are the life blood of our Marketplace business and new sellers make up a significant ... models, interpret data, draw conclusions, and make recommendations that deliver results, drive ...

Sellers are the life blood of our Marketplace business and new sellers make up a significant ... models, interpret data, draw conclusions, and make recommendations that deliver results, drive ...

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Makeup Modeling information

See Seattle, WA salary details

$11

$28

$76

How much do makeup modeling jobs pay per hour?

As of May 28, 2026, the average hourly pay for makeup modeling in Seattle, WA is $28.78, according to ZipRecruiter salary data. Most workers in this role earn between $19.13 and $27.36 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Makeup Model, and why are they important?

To thrive as a Makeup Model, you need clear skin, expressive facial features, and the ability to follow direction, typically supported by a professional portfolio and agency representation. Familiarity with industry standards, photo shoot environments, and makeup application processes is beneficial. Confidence, adaptability, punctuality, and strong communication skills help you build rapport with teams and showcase products effectively. These skills are important for consistently meeting client expectations and succeeding in a competitive, fast-paced industry.

What are some common challenges faced by makeup models during photoshoots, and how can they be addressed?

Makeup models often face challenges such as long hours under bright lights, frequent makeup changes, and the need to maintain flawless skin despite heavy product application. To address these, models should maintain a good skincare routine, stay hydrated, and communicate openly with makeup artists about any skin sensitivities. Being adaptable and comfortable with close collaboration is key, as makeup models often work closely with photographers, stylists, and artists to achieve the desired look.

What is makeup modeling?

Makeup modeling is a profession where individuals showcase various makeup looks, styles, and products, often for advertisements, beauty campaigns, tutorials, or runway events. Makeup models work closely with makeup artists and photographers to present different cosmetic brands or trends, either in photoshoots, videos, or live demonstrations. The role requires clear skin, expressive features, and the ability to adapt to diverse makeup styles. Makeup modeling can be a full-time career or a part-time opportunity for those passionate about beauty and cosmetics.

What is the difference between Makeup Modeling vs Makeup Artist?

AspectMakeup ModelingMakeup Artist
CredentialsMinimal; often no formal certification requiredProfessional certification or training often preferred
Work EnvironmentPhotoshoots, fashion shows, promotional eventsSalons, studios, bridal, special events
Industry UsageModeling industry, advertising, fashionBeauty, fashion, entertainment, bridal
Search & Comparison IntentYesNo

Makeup modeling involves showcasing makeup looks primarily for photoshoots and fashion campaigns, often requiring minimal formal training. Makeup artists provide personalized beauty services, including applying makeup for clients in salons or events, often with formal certifications. While makeup modeling focuses on visual presentation in media, makeup artists work directly with clients to create desired looks. Both roles are integral to the beauty and fashion industries but differ in credentials, work environment, and purpose.

What are popular job titles related to Makeup Modeling jobs in Seattle, WA? For Makeup Modeling jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Makeup Modeling jobs in Seattle, WA look for? The top searched job categories for Makeup Modeling jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Makeup Modeling jobs? Cities near Seattle, WA with the most Makeup Modeling job openings:
Infographic showing various Makeup Modeling job openings in Seattle, WA as of May 2026, with employment types broken down into 58% Full Time, and 42% Part Time. Highlights an 100% In-person job distribution, with an average salary of $59,866 per year, or $28.8 per hour.
Machine Learning Scientist (L4) - Content & Conversation Modeling

Machine Learning Scientist (L4) - Content & Conversation Modeling

Netflix

Seattle, WA • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 19 days ago


Netflix rating

5.6

Company rating: 5.6 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

59th of 64 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 senior 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.

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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