102 jobs for "2027 Summer Internship - Technology"

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

At TikTok - San Jose

Posted on Aug 3

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Software Engineering & AI Intern

At Leidos - Odenton

Posted on Nov 5

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Summer internship 2027 - Sales Analyst Intern- Riyadh, Saudi Arabia

At Mastercard - Riyadh

Posted on Oct 28

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Platform Engineering Intern, Summer 2027 - St. Louis, MO, US

At Mastercard - O'Fallon

Posted on Oct 17

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Software Engineering & AI Intern

At Leidos - Scott Air Force Base

Posted on Nov 5

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Software Engineering & AI Intern

At Leidos - Remote / Flexible

Posted on Nov 5

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Summer Associate Internship (Business Systems Analyst)

At Navy Federal Credit Union - Vienna

Posted on Sep 10

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Associate Consultant Intern, Summer Internship Program - 2027, Almaty, Kazakhstan

At Mastercard

Posted on Oct 9

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Summer Associate Internship (Technology Operations Analyst)

At Navy Federal Credit Union - Pensacola

Posted on Sep 10

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Summer Associate Internship (Technology Operations Analyst)

At Navy Federal Credit Union - Winchester

Posted on Sep 10

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Product Management Intern, Summer 2027 - Dubai, UAE (UAE Nationals Preferred)

At Mastercard

Posted on Oct 6

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Global Markets, Account Management & Product Management, Summer Internship Program - 2027, Istanbul, Türkiye

At Mastercard - Istanbul

Posted on Oct 2

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Associate Consultant Intern, Summer Internship Program - 2027, Istanbul, Türkiye

At Mastercard - Istanbul

Posted on Oct 2

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Summer Associate Internship (Technology Operations Analyst)

At Navy Federal Credit Union - Vienna

Posted on Sep 10

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Summer Associate Internship (Operations Strategist)

At Navy Federal Credit Union - Vienna

Posted on Sep 10

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Global Markets Intern, Summer 2027 - Cairo, Egypt

At Mastercard - Cairo

Posted on Sep 28

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Associate Consultant Intern, Summer 2027 - Egypt

At Mastercard - Cairo

Posted on Sep 24

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2027 Summer Intern - Rotational (IT, Operations, Risk, and Fund Treasury)

At The Hartford - Wayne

Posted on Nov 3

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Machine Learning Engineer Intern (E-Commerce Governance)- 2027 Summer

At TikTok - Seattle

Posted on Oct 16

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Human Resources Intern (Global Business Solutions) - 2027 Summer

At TikTok - New York

Posted on Sep 17

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TikTok

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

San JosePosted Aug 3, 2026

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Why you should apply for a job to TikTok:

4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

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.
- Hands-on experience implementing, training, or deploying models in one or more of the following areas - Ads, Search, Recommender Systems, NLP, CV, Multimodal, or Agent technologies - through coursework, internships, or industry projects.
- Familiarity with the fundamentals of large language models (e.g. pre-training, fine-tuning, prompting, inference and deployment), with practical experience in at least one of these stages.
- Strong software engineering fundamentals: clean, testable code, version control, and the ability to debug complex systems end to end.
- 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 applying AI to real-world products.

Preferred Qualifications:
- Experience with large-scale distributed training (DeepSpeed, Megatron, FSDP) or high-throughput inference (vLLM, SGLang, TensorRT-LLM).
- Experience with production model deployment, serving optimization, or latency/cost tuning.
- Experience building data pipelines for large-scale training or evaluation.
- Experience building agentic systems, RAG pipelines, or multimodal applications.
- Familiarity with the ads / search / recommendation industry stack.
- Open-source contributions, strong results in ML competitions (Kaggle, Tianchi, ACM/ICPC), or granted patents.

Responsibilities

Qualifications

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.
- Hands-on experience implementing, training, or deploying models in one or more of the following areas - Ads, Search, Recommender Systems, NLP, CV, Multimodal, or Agent technologies - through coursework, internships, or industry projects.
- Familiarity with the fundamentals of large language models (e.g. pre-training, fine-tuning, prompting, inference and deployment), with practical experience in at least one of these stages.
- Strong software engineering fundamentals: clean, testable code, version control, and the ability to debug complex systems end to end.
- 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 applying AI to real-world products.

Preferred Qualifications:
- Experience with large-scale distributed training (DeepSpeed, Megatron, FSDP) or high-throughput inference (vLLM, SGLang, TensorRT-LLM).
- Experience with production model deployment, serving optimization, or latency/cost tuning.
- Experience building data pipelines for large-scale training or evaluation.
- Experience building agentic systems, RAG pipelines, or multimodal applications.
- Familiarity with the ads / search / recommendation industry stack.
- Open-source contributions, strong results in ML competitions (Kaggle, Tianchi, ACM/ICPC), or granted patents.

About TikTok

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 10,000+ employees
Industry: Technology: Consumer Internet

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