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Internship Math Content Developer Jobs in Sunnyvale, CA

Youth Development Responsibilities include implementing CAIR's youth programming, which engages ... content. Interns will work on all aspects of program planning, including, but not limited to ...

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Internship Math Content Developer information

See Sunnyvale, CA salary details

$34.6K

$136.9K

$151.4K

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

As of Aug 15, 2026, the average yearly pay for internship math content developer in Sunnyvale, CA is $136,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $144,400.00 and $150,200.00 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 popular job titles related to Internship Math Content Developer jobs in Sunnyvale, CA?

For Internship Math Content Developer jobs in Sunnyvale, CA, the most frequently searched job titles are:

What cities near Sunnyvale, CA are hiring for Internship Math Content Developer jobs?

Cities near Sunnyvale, CA with the most Internship Math Content Developer job openings:

Infographic showing various Internship Math Content Developer job openings in Sunnyvale, CA as of July 2026, with employment types broken down into 55% Full Time, 29% Part Time, 1% Temporary, and 15% Contract. Highlights an 63% Physical, 3% Hybrid, and 34% Remote job distribution, with an average salary of $136,866 per year, or $65.8 per hour.

Research Scientist Intern (Monetization Technology - Business Integrity) - 2027 Summer

TikTok

San Jose, CA • On-site

$45/hr

Temporary, Internship

Medical, Life

Posted 11 days ago


TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

106th of 244 rated software companies


Job description

Responsibilities
Our Business Integrity team has a strong user focus and a dedication to technical excellence. We aim to meet our users' needs with reliable and high-performing platforms and services. We are looking for strong machine learning engineers who are excited to grow their business understanding, build highly scalable machine learning models, and partner across disciplines with global teams, in pursuit of excellence. Given the fast growth of TikTok in the world, we are working on building a next-generation content understanding system for TikTok monetization. We are seeking Research Engineers who are experienced in machine learning, which can help us create an ecosystem that rewards high-quality user experience and advertiser value. Topic Content: With the explosive growth of digital content, intelligent moderation has become a core capability for internet platforms. However, as moderation scenarios grow increasingly complex and adversarial tactics continue to evolve, traditional approaches are facing unprecedented challenges. The current landscape is characterized by multiple technical difficulties, including the dynamic nature of moderation rules, content complexity, sample scarcity, escalating adversarial behaviors, and a lack of interpretability. In particular, existing open-source large models often do not perform as effective as we expect in scenarios involving evolving moderation rules, long-form text, long temporal sequences, multi-languages, limited sample data, and adversarial content generated by AIGC. We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals. Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates. Responsibilities: In this role, you will build a leading moderation system that enables end-to-end capabilities for accurate rejection decisions, interpretable reasoning, and intelligent remediation, achieving fully automated moderation with performance surpassing human benchmarks.
Qualifications
Minimum Qualifications: - Currently pursuing a Master's degree in Computer Science, Software Engineering, Electronic Engineering, Automation, Mathematics, Statistics, or a related technical discipline (completed, or expecting to graduate within 12 months). Exceptional Bachelor's candidates with strong research output will also be considered. - Research experience in one or more of the following areas - Ads, Search, Recommender Systems, NLP, CV, Multimodal, or Agent technologies - demonstrated through publications, thesis work, internships, or research projects. - Solid understanding of large language model methodology, including pre-training, post-training/alignment, and evaluation, with the ability to read, reproduce, and critique recent literature. - Ability to independently formulate a research problem, design controlled experiments, and draw sound conclusions from ambiguous results. - Proficient in Python and at least one deep learning framework such as PyTorch or TensorFlow. - Strong problem-solving ability, a collaborative mindset, and a genuine interest in translating research into real-world products. Preferred Qualifications: - Publications at top-tier venues (ICLR, NeurIPS, ICML, ACL, EMNLP, CVPR, ICCV, ECCV, TPAMI), or equivalent evidence of research ability. - Experience with RLHF / post-training, reasoning, or novel model architecture design. - Experience designing evaluation benchmarks or LLM/VLM-as-Judge methodologies. - Experience building agentic systems, RAG pipelines, or multimodal applications. - Track record of research that shipped into a production system.
Job Information
[For Pay Transparency]Compensation Description (Hourly) - Campus Intern
The hourly rate range for this position in the selected city is $45- $45.
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
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 TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
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.
TikTok Accommodation
TikTok 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

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