ML Engineer Intern: E‑Commerce Growth & Personalization

TikTok; Seattle (WA); In loco; USD 65.000 - 92.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

Wellbeing benefits

Housing allowance

Paid holidays

Descrizione del lavoro

TikTok is seeking a Machine Learning Engineer Intern for E-Commerce User Growth in Seattle. This PhD internship focuses on building and optimizing recommendation and marketing algorithms to boost user growth and engagement, with a strong emphasis on experiments, data analysis, and production-ready code.

You'll join a team delivering scalable ML solutions, from uplift modeling to personalized messaging, while gaining hands-on experience through mentoring, research collaboration, and

Competenze

• Pursuing a PhD in Computer Science, Electrical Engineering, Mathematics, Statistics or a related discipline.
• Solid ML and engineering fundamentals: you understand the math behind the models, and you write clean, efficient, reproducible code with a strong command of algorithms and data structures.
• Deep research or engineering practice in at least one of: LLMs / foundation models, NLP, CV, RL, or recommendation / search / ads — and you can articulate why you made the choices you made, and where they fell short.
• Genuine enthusiasm for LLM / LRM techniques: you want frontier methods live in production, not parked at offline metrics.
• Strong problem definition and decomposition: faced with an ambiguous problem that has no standard answer, you find your own foothold.
• Preferred Qualifications: Candidates who have published papers in top AI conferences/journals or achieved notable results in ACM/Machine Learning competitions.
• Preferred Qualifications: Experience in recommendation systems, advertising, user growth, intelligent marketing, or related fields, with expertise in LTV estimation, uplift modelling, operations research, sequence modelling, or multi‑scenario modelling optimization is a plus.

Mansioni

• Participate in optimizing TikTok e-commerce growth and marketing algorithms, including core capabilities such as user value modelling, personalized messaging, recommendations, and intelligent marketing.
• Establish a user lifecycle data and value system to address core pain points and business challenges related to TikTok Mall user growth.
• Contribute to the implementation of product and technical solutions for user growth engines, such as personalized push notifications/emails, recommendation handling, etc., to increase e-commerce DAU and penetration rates.
• Optimize algorithms related to recall/sorting for new user recommendations, improving the relevance of traffic source handling and the accuracy and diversity of new user recommendations.
• Optimize intelligent marketing algorithms, utilizing uplift models and operations research methods to improve marketing efficiency and drive e-commerce GMV growth.

Conoscenze

ML fundamentals

Algorithms & data structures

Python

Research experience

LLMs / foundation models

NLP / CV / RL

Formazione

PhD in CS/EE/Math/Stats

Strumenti

TensorFlow

PyTorch

JAX

Git

Descrizione del lavoro

TikTok is seeking a Machine Learning Engineer Intern for E-Commerce User Growth in Seattle. This PhD internship focuses on building and optimizing recommendation and marketing algorithms to boost user growth and engagement, with a strong emphasis on experiments, data analysis, and production-ready code.

You'll join a team delivering scalable ML solutions, from uplift modeling to personalized messaging, while gaining hands-on experience through mentoring, research collaboration, and