Responsibilities
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
About the Team
We are a pioneering Machine Learning team at TikTok, committed to spearheading innovation in leveraging cutting-edge technologies in foundation models to enhance TikTok's experience, an avenue that our organization sees as a very promising future direction.
Our team culture cherishes the "First Principles Thinking" approach, and we deeply value understanding things at their core and focusing on delivering solid, well-grounded solutions.
What you'll do :
- Understand and optimize TikTok's industry-leading recommendation system
- Deploy, prompt, and fine-tune cutting-edge foundation models
- Apply foundation models to enhance TikTok's recommendation system and product offerings, improving the experience of billion-scale consumers and creators
- Collaborate with cross-functional teams, including product managers, data scientists, and product engineers, to form and solve problems, refine machine learning algorithms, and communicate results
- Regularly run A / B tests, perform analyses, and iterate algorithms based on results
- Work with infrastructure teams on improving the efficiency and stability of machine learning systems
Qualifications
- Hands-on experience in one or more of the following areas : Machine Learning, Deep Learning, Recommender Systems, Data Mining, Natural Language Processing, or Computer Vision
- Strong programming skills in Python and / or C / C++, and a deep understanding of data structures and algorithms
- Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow / PyTorch / MXNet)
- Excellent communication and teamwork skills, and a passion for learning new techniques and tackling challenging problems
Preferred Qualifications :
- Prior research / industry experience with deploying, prompting, and fine-tuning foundation models
- Prior research / industry experience with applied machine learning, or large-scale recommendation systems
- Publications at major AI-related conferences such as NeurIPS, ICML, ICLR, AAAI, IJCAI, ACL, NAACL, EMNLP, CVPR, ICCV, ECCV, KDD, ICDM, SDM, RecSys, or simply on arXiv but with large impact
- Strong track record in AI-related competitions, or participation in public / open-source AI-related projects of high visibility
- A strong passion for First Principles Thinking
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 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 redacted
Senior Machine Learning Engineer, TikTok Core Ads Ranking
Hands-on experience in one or more of the following areas: machine learning, deep learning, statistical models and applied mathematical methods. We're looking for innovative Machine Learning Engineers to join our TikTok Ads Core-Ranking team. Familiar with architecture and implementation of at least...
Machine Learning Model Engineer - VD
Similar Jobs (4) Machine Learning Engineer – Data Science remote type Hybrid locations 645 Clyde Avenue, Mountain View, CA, USA time type Full time posted on Posted 9 Days Ago Samsung Ads - Machine Learning Model Engineer, Mobile remote type Hybrid locations 645 Clyde Avenue, Mountain View, CA, USA ...
Senior Machine Learning Engineer (Hybrid role in Palo Alto, CA)
You will work with our client's machine learning and product teams to improve their machine learning models, infrastructure, and datasets as well as integrating this technology into their products, and building out the product suite. Aiding ML engineers in pretraining and finetuning our specialized ...
Staff Machine Learning Engineer
As a Staff Machine Learning Engineer/Tech Lead, you will be responsible for leading the development and deployment of machine learning models and systems for our organization. Design and develop machine learning models and systems: You will be responsible for designing and developing machine learnin...
Machine Learning Engineer, NLP - TikTok E-commerce Knowledge Graph
Familiar with commonly used machine learning and deep learning algorithms, understand basic network model structure (DNN/LSTM/CNN, etc. Proficient in using at least one mainstream deep learning frameworks such as TensorFlow/PyTorch, understanding distributed training, distillation acceleration, and ...
Senior Software Engineer, Computer Vision and Deep Learning
MS/PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or related technical field. Our ecosystem is anchored by the only 3D computer vision and deep learning based checkout system in the world. Mashgin is looking for a passionate Computer Vision engineer who love...
Senior Machine Learning Engineer, Large Language Model&Generative AI - Global E-Commerce Data Intelligence
Minimum Qualifications:- BS/MS Degree in Computer Science or related major- 5+ years experience in data structures and algorithms, familiar with one or more: machine learning, natural language processing, data mining- Familiar with one of the Python/Java/Go/C++ programming languages- Familiar with c...
Senior/ Staff Machine Learning Research Scientist, Autonomy Generalist
To name a few, using self-supervised learning to learn robust representations, exploring techniques for out-of-distribution detection to solve long tail problems, adjusting reinforcement learning techniques for motion planning, working on trajectory prediction and motion planning, investigating the ...
Physical Design Engineer, Machine Learning
In this role, you will be directly involved in our physical design machine learning efforts, collaborating right alongside our internal multi-functional teams, and using your expertise in machine learning and physical design to ensure that our SoCs achieve the optimal Power, Performance, and Area (P...
AIML - Sr. Machine Learning Engineer - ML Platform & Technology (MLPT)
A minimum of 3 years as tech lead8 years of proven experience in machine learning related software engineering, such as: product, infrastructure, frameworks or toolsStrong expertise in machine learning domains, such as: CV, NLP, recommender systems, Gen AI or LLMs (preferred)Proficient in ML trainin...