Software Engineer Graduate (AI Applications) - 2026 Start (BS/MS) - Seattle

Responsibilities

About the team:

The Speech team's mission is to empower content interaction and creation using speech & audio related technologies. The team focuses on cutting-edge R&D in areas like speech & audio, music processing, natural language understanding and multimodal deep learning. We are looking for top talents to work on these exciting technologies, integrate them into various products and ultimately bring joy to our global user base!

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at ByteDance.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

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:
- Responsible for the development of large-scale AI systems, solving technical difficulties such as high concurrency, high reliability, and high scalability of the system.
- Optimize deep learning models for lower latency, targeting backend server deployment.
- Work with researchers to land advanced technologies to ByteDance products.
- Build automation frameworks and tools to ensure high engineering quality and efficiency.

Qualifications

Minimum Qualifications:
- Currently pursuing a BS/MS in Software Development, Computer Science, Computer Engineering, or a related technical discipline
- Experience in python/C++ and solid software engineering background.
- Proficient in data structure and algorithm design, and familiar with system performance tuning and Linux development environment;
- Experience with standard deep learning frameworks, e.g. Pytorch and Tensorflow.
- Understanding of basic deep learning algorithms.
- Experience in developing large scale AI application services, including model deployment and model serving, is preferred.

Preferred Qualifications:
- Experience in developing large scale AI application services, including model deployment and model serving, is preferred.
- Experience in one or more topics in model performance optimization, such as kernel fusion, KV cache optimization, quantization, etc., is preferred.
- Ability to work collaboratively in a fast paced, multi-functional environment.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $112725 - $177840 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.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

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.