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Internship Math Content Developer Jobs in Seattle, WA

Docugami

Data Science PhD Intern

Kirkland, WA

... vital document content and information from large batches of contracts, can assist users in ... Math PhD Interns to work alongside our world-renowned science and engineering team to create a ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

... vital document content and information from large batches of contracts, can assist users in ... Math PhD Interns to work alongside our world-renowned science and engineering team to create a ...

TekWissen LLC

Data Engineer III

Redmond, WA · On-site

$83/hr

It offers merchandise and content purchased for resale from vendors and those offered by thirdparty ... Python) or statistical/mathematical software (e.g. R, SAS, Matlab, Minitab, etc.) experience * 2+ ...

SpaceX

Data Scientist (Starlink)

Redmond, WA

$145K - $175K/yr

Establish and maintain relationships with key third-party application/content owners * Lead ... mathematics, or a STEM discipline * 1+ years of data/software engineering experience (internship ...

Leviton

Associate Product Manager

Bothell, WA · On-site

Required : • Strong mathematical and analytical skills • Working knowledge of manufacturing and ... internship experience required Preferred : • MBA a plus • 1-3 years of Engineering, Marketing ...

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Internship Math Content Developer information

See Seattle, WA salary details

$33.6K

$132.7K

$146.8K

How much do internship math content developer jobs pay per year?

As of May 31, 2026, the average yearly pay for internship math content developer in Seattle, WA is $132,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,000.00 and $145,700.00 per year, depending on experience, location, and employer.

What is the difference between Internship Math Content Developer vs Internship Data Analyst?

AspectInternship Math Content DeveloperInternship Data Analyst
Required SkillsMathematics, content creation, curriculum designData analysis, Excel, statistical tools
Work EnvironmentEducational, content-focusedData-driven, analytical
Industry UsageEducation, e-learning companiesBusiness, finance, tech

The Internship Math Content Developer primarily focuses on creating and designing math educational content, while the Internship Data Analyst analyzes data to inform decisions. Both roles require analytical skills, but the content developer emphasizes curriculum development, whereas the data analyst emphasizes data interpretation and reporting.

What are the most commonly searched types of Math Content Developer jobs in Seattle, WA? The most popular types of Math Content Developer jobs in Seattle, WA are:
What are popular job titles related to Internship Math Content Developer jobs in Seattle, WA? For Internship Math Content Developer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Internship Math Content Developer jobs in Seattle, WA look for? The top searched job categories for Internship Math Content Developer jobs in Seattle, WA are:
Internship Math Content Developer jobs near you
Machine Learning Scientist (L4) - Content & Conversation Modeling

Machine Learning Scientist (L4) - Content & Conversation Modeling

Netflix

Seattle, WA

Full-time

Medical, Life, Retirement, PTO

Posted 22 days ago

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

57th 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.

What Netflix employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Netflix logo

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

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