Machine Learning Engineer Intern (Monetization Technology - Ads Core Global) - 2027 Summer San Jose Undergraduate/Master Intern - 2027 Start

TikTok; San Jose, Northern (CA, KY); Hybrid; USD 52.000 - 72.000; Teilzeit

Benefits dieser Stelle

Health insurance

Paid holidays

Housing allowance

Zusammenfassung

TikTok is seeking a Machine Learning Engineer Intern (Monetization Technology - Ads Core Global) for Summer 2027 in San Jose. You will optimize the advertising funnel and contribute to a global delivery system using ML/DL, RL, and LLMs.

Ideal candidates are pursuing a Bachelor's in CS/Math/Stats, with strong C/C++ and Python, Linux, statistics, and ML framework knowledge. Intern benefits include health insurance from day one, holidays, and housing allowance if not fully remote.

Qualifikationen

• Currently pursuing a Bachelor's in CS, Math, Stats or related field.
• Strong programming in C/C++ and Python; knowledge of data structures and algorithms; Linux.
• Solid analytics and statistics knowledge.
• Foundations in deep learning concepts.
• Familiar with TF / PyTorch / MXNet architectures.
• Preferred: knowledge in FM, uplift modeling, diffusion models, RL.
• Understanding of large-scale recommender and ads serving concepts.

Aufgaben

• Optimize advertising funnel efficiency across Recall/Rough-sort, Fine-sort, and personalization.
• Research and develop a global advertising delivery system with ML/DL, RL, LLM, scaling laws.
• Design system framework and standards to improve efficiency and meet vertical needs.
• Collaborate with product and business teams globally.

Kenntnisse

C/C++

Python

Data structures

Algorithms

Statistics

Deep learning

TensorFlow

PyTorch

MXNet

Analytical thinking

Linux

Ausbildung

Bachelor's degree in CS/Math/Stats

Tools

Linux

Jobbeschreibung

Machine Learning Engineer Intern (Monetization Technology - Ads Core Global) - 2027 Summer

Location:

San Jose

Employment Type:

Intern

Job Code:

A11732B

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Responsibilities

• Assist in optimizing efficiency across the entire advertising funnel, including Recall&Rough-sort, Fine-sort(CTR/CVR), format/creative personalization and system resource allocation.
• Research & develop a global advanced advertising delivery system through frontier technologies, including ML/DL, RL, LLM and also scaling law in ads recommendation.
• Design & Set up system framework and standard to continuously improve overall efficiency and meet different vertical business needs.
• Work with product and business teams from various scenarios with global impact.

Qualifications

• Minimum Qualifications:- Currently pursuing a Bachelor's in Computer Science, Mathematics, Statistics, or a related technical discipline.
• Solid programming skills, proficient in C/C++ and Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment.
• Good analytical thinking capability. Essential knowledge and skills in statistics.
• Good theoretical grounding in deep learning concepts and techniques.
• Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/Pytorch/MXNet), familiar with its architecture and implementation mechanism.
• Preferred Qualifications:- Good knowledge in one of the following fields: Factorization Machine, Uplift Modeling, Diffusion Models, Reinforcement Learning.
• Basic understanding of large recommendation system and ads serving system concepts.

Job Information

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:

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 https://tinyurl.com/RA-request

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