Software Engineering Intern (Machine Learning Sys-Us) - 2023 Fall (Bs/Ms)

Founded 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 Us
At ByteDance, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for millions of users across all of our products. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at ByteDance.
Team Introduction
The AML-MLSys team provides E2E machine learning experience and machine learning resources for the company. The team builds heterogeneous ML training and inference systems based on GPU and AI chips and advances the state-of-the-art of ML systems technology. The team is also responsible for research and development of hardware acceleration technologies for AI and cloud computing.
This Internship Program runs for 12 weeks beginning in August/September 2023. Successful candidates must be able to commit to one of the following Fall internship cycles below:
1. August 14, 2023 to November 3, 2023
2. September 5, 2023 to November 24, 2023
We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date).
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities
This internship provides students the opportunity to join one of our engineering teams where you will have the opportunity to:

• Self-motivated and can solve challenging technical problems with good teamwork
• Able to commit to working for 12 weeks during Fall 2023
• Develop key components of machine learning systems, including compiler, distributed frameworks, cluster scheduling, storage systems, etc.
• Familiar with at least one deep learning framework (TensorFlow, PyTorch, MXNet, or other);
• Currently pursuing a Undergraduate/Graduate/Master/PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Familiar with the C/C++ and Python development in Linux environments;
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
• Optimize the implementation and deploy them in production systems.
• Good communication and teamwork skills to clearly communicate technical concepts with other teammates.

Preferred Qualifications:

• High levels of creativity and quick problem-solving capabilities
• Graduating December 2023 onwards with intent to return to degree-program after the completion of the internship.
• Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications

ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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.
ByteDance Inc. 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 [email protected].
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.bytedance.com/legal/privacy.