Software Engineer Graduate (Applied Machine Learning - Engine) - 2025 Start (BS/MS)

3 Months ago • All levels • Research & Development • $144,000 PA - $250,000 PA

Job Summary

Job Description

ByteDance's AML team is seeking a Software Engineer Graduate to join their team in 2025. You will be responsible for designing and implementing a global-scale machine learning system for feeds, ads, and search ranking models, improving the usability and flexibility of the machine learning infrastructure, optimizing model training and serving workflows, and building key components of the ML infrastructure. You will also mentor interns. The ideal candidate will have a strong background in software development, computer science, or a related technical discipline, be proficient in C/C++/Python/Golang, and have experience with deep learning frameworks such as TensorFlow or PyTorch.
Must have:
  • 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.
Good to have:
  • 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.
  • 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.
Perks:
  • 100% premium coverage for employee medical insurance
  • 75% premium coverage for dependents
  • Health Savings Account(HSA) with a company match
  • Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans
  • Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care
  • 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO)
  • 10 paid sick days per year
  • 12 weeks of paid Parental leave
  • 8 weeks of paid Supplemental Disability
  • Mental and emotional health benefits through our EAP and Lyra
  • 401K company match
  • Gym and cellphone service reimbursements

Job Details

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 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 Creation 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. 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.
Qualifications
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] 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 https://shorturl.at/cdpT2
Job Information
【For Pay Transparency】Compensation Description (annually)

The base salary range for this position in the selected city is $144000 - $250000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:

We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care.

Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.

We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

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 including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

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