Software Engineer Graduate
ByteDance
Posted 13 Nov 2026, 05:52 ET
This job at a glance
- Who can apply
- New grads, no experience needed · Bachelor's degree or Master's degree
- Must know
- Deep learningNLPOnboardingData structures & algorithmsSystem designPython
- Nice to have
- Machine learning
- Work
- On-site in San Jose
- Pay
- $128K–$256K a year
- Skill demand
- Data structures & algorithms35%Onboarding12%Deep learning3%NLP2%of 66 similar entry-level jobs posted in the US this week
- Listed
- Nov 13, 2026 · still open
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About ByteDance
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life.
About the Role
The Speech team focuses on cutting-edge R&D in areas like speech & audio, music processing, natural language understanding and multimodal deep learning. As a graduate AI Model Optimization Engineer, you will design and implement cutting-edge techniques to make AI models faster, more efficient, and easier to deploy at scale. You will collaborate across research and engineering to push the limits of AI performance in production environments. Successful candidates must be able to commit to an onboarding date by the end of the year.
Key Responsibilities
- Develop and implement algorithms for model optimization, including quantization, pruning, knowledge distillation, and efficient architectures.
- Build and maintain performance benchmarking frameworks for large-scale training and inference.
- Optimize training and inference pipelines on GPUs and across distributed systems.
- Collaborate with ML researchers to transition optimized models into production.
- Stay current with the latest research in model efficiency, compilers, and systems.
Requirements & Tech Stack
- Strong coding skills in Python and C++.
- Experience with deep learning frameworks.
- Experience with distributed training systems.
- Solid understanding of computer architecture, parallel computing, and GPU acceleration.
- Familiarity with GPU programming (CUDA, Triton, or similar) is a plus.
- Familiarity with ML compilers (e.g., TVM, XLA, TensorRT) is a plus.
- Strong analytical skills.
- Ability to work in a fast-paced team environment.
Qualifications
- Individuals who are completing or have recently completed a Bachelor's/Master's degree in computer engineering or a related discipline.
General Information
- Candidates can apply to a maximum of two positions globally.
- Applications will be reviewed on a rolling basis.
- Must be able to establish authorization to work in the United States.
- The Company does not provide sponsorship or any immigration-related benefits for this position.
- Base salary range: $128,000 - $256,000 annually.