Machine Learning Engineer Graduate (AML Algorithm) - 2025 Start (BS/MS)
San Jose Regular R&D Bachelor/Master Graduates- 2025 Start Job ID: A34033
Responsibilities 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, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
The mission of our Applied Machine Learning (AML) team is to push next-generation machine learning algorithms and platforms for the recommendation system, ads ranking, and search ranking in our company. We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities to kickstart your career and explore limitless growth opportunities.
Successful candidates must be able to commit to an onboarding date by the end of year 2025. 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.
Key Responsibilities Build new features that touch hundreds of millions of people around the world. Solve unique, large-scale, highly complex technical problems. Build the next-generation monetization platform to help millions of customers grow their businesses. Work with your mentor to deliver product features and make engineering improvements. Build world-class web applications that combine usability, accessibility, elegance, performance, and maintainability. Qualifications Minimum Qualifications: Currently pursuing an Undergraduate/Graduate/Master 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 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) and improving core machine learning infrastructure. Experience in big data frameworks (e.g., K8s/Spark/Hadoop/Flink) and resource management for large scale distributed systems. Strong background in Hardware-Software Co-Design, High-Performance Computing, or ML Hardware Acceleration. Experience in developing and deploying large-scale systems and familiarity with IaC technologies like Terraform/Ansible. ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our mission is to inspire creativity and bring joy.
Job Information The base salary range for this position in the selected city is $144,000 - $153,600 annually.
Compensation may vary depending on a number of factors, including a candidate's qualifications, skills, competencies, and experience, and location.
Our company benefits are designed to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:
100% premium coverage for employee medical insurance, approximately 75% for dependents. 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO). 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability. 401K company match, gym, and cellphone service reimbursements. For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws.
#J-18808-Ljbffr