Senior Research Engineer, Multi-Modal-AML (Multiple Positions)

ResponsibilitiesAbout ByteDanceFounded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join UsCreation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity;

to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together.

That's how we drive impact - for ourselves, our company, and the users we serve. Join us. About the TeamOur team plays a crucial role in ensuring the company’s success.

We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges.

It’s working fast, at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey! Responsibilities- Design and deploy state-of-the-art Machine Learning models in various downstream applications.

• Develop large language models for various purposes.- Develop multi-modality models that can potentially help search results, especially image-text search or video-text search.
• Develop multi-modal models that can help improve the trust and safety of the business.- Collaborate with engineers to build enterprise-level platform with cutting-edge models.
• Develop data processing, model training, and model evaluation pipelines.- Contribute to the system design of the team.- Mentor junior Research Engineers and interns.
• QualificationsMust have a Master’s degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Statistics, Mathematics, or a related quantitative field, and 2 years of related work and / or research experience;

OR a Bachelor’s degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Statistics, Mathematics, or a related quantitative field, and 5 years of post-bachelor’s, progressive related work and / or research experience.

• Of the required experience, must have 2 years of experience in each of the following : - Programming using Python and PyTorch to build large-scale learning systems;
• Developing data-driven prediction models using classic statistical methods, machine learning, and neural network / deep learning;
• Prototyping and developing machine learning and natural language processing models;- Using TensorFlow to develop deep neural network models;
• Using data analysis tools SQL, PySpark, NumPy, and Pandas to handle large-scale datasets; and- Designing and improving graph neural networks using traditional graph theory algorithms.

Type : Full time, 40 hours / weekLocation : Bellevue, WASalary Range : $184300 - $337250 per year To