Software Engineer Graduate（Applied Machine Learning – Engine
| Company | ByteDance |
|---|---|
| Location | San Jose, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Entry Level/New Grad |
Description
The mission of our AML team is to push next-generation machine learning algorithms and platform for the recommendation system, ads ranking and search ranking in our company. We also drive substantial impact on core businesses of the company. We are looking for Software Engineer New Graduate to join our team to support and advance that mission.
We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDance
Successful candidates must be able to commit to one of the following start dates below:
1. January 15, 2025
2. February 5, 2025
3. March 4, 2025
4. May 20, 2025
5. June 17, 2025
6. July 15, 2025
7. August 12, 2025
8.September 3, 2025
We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.
Applications will be reviewed on a rolling basis. We encourage you to apply early.
Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to ByteDance and its affiliates’ jobs globally.
Responsibilities
– Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models.
– Responsible for improving use-ability and flexibility of the machine learning infrastructure.
– Responsible for improving the workflow of model training and serving, data pipelines and resource management for multi-tenancy machine learning systems.
– Responsible for designing and developing key components of ML infrastructure and mentoring interns.
Minimum Qualifications:
– Currently pursuing an Undergraduate/Graduate/Master/PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline
– Proficient in C/C++/Python/Golang, and have solid programming skills(e.g. algorithms and data structures).
– Familiar with deep learning frameworks (TensorFlow/Pytorch).
– Ability to work independently and complete projects from beginning to end and in a timely manner.
– Good communication and teamwork skills to clearly communicate technical concepts with other teammates.
Preferred Qualifications:
– Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch), experience on improving core machine learning infrastructure.
– Experience in big data frameworks (e.g., K8s/Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems, experience in building solutions with AWS, GCP, Azures, OCI, AliCloud or other cloud services. [Scheduling]
– Strong background in one of the following fields: Hardware-Software Co-Design, High Performance Computing, ML Hardware Acceleration (e.g., GPU/TPU/RDMA) or ML for Systems.
– Experience in developing and deploying large-scale systems(e.g. Monitoring, Analyzing, Troubleshooting, and Notification systems), strong understanding of code optimizing, routine task automation and failure self-healing, familiar with IaC technologies like Terraform/Ansible. [EffeciencyTool]
Benefits
Not Specified