Research Scientist Intern
ByteDance
Posted 13 Nov 2026, 05:36 ET
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- RecruitingLLMsComputer visionDeep learning
- Nice to have
- Machine learningEmbedded systems
- Work
- On-site in San Jose · internship
- Pay
- Not stated by the employer.
- Listed
- Nov 13, 2026 · still open
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About the Role
The Research Scientist Intern position within the Multimodal Sensing & On-Device Perception team at ByteDance offers PhD students the opportunity to actively contribute to products, research, and the organization's future plans and emerging technologies. This is part of the Global Frontier Tech Recruitment Program with a 2027 Start. The internship experience blends hands-on learning, community-building events, and collaboration with industry experts. Applications are reviewed on a rolling basis.
Key Responsibilities
- Design and prototype novel sensor or imaging architectures that move computation closer to the sensing front-end (e.g., near-sensor processing, event-driven capture, learned compression at the pixel level).
- Build and characterize imaging pipelines end-to-end: from optical/sensor physics through ISP to downstream perception models — identify where bits are wasted and where intelligence should be injected.
- Leverage understanding of VLM/LLM and world models to inform what information the sensing front-end must preserve, discard, or transform — closing the loop between foundation model requirements and hardware design.
- Develop or adapt machine vision models that are co-optimized with hardware constraints (power, bandwidth, latency).
Requirements & Tech Stack
- Currently pursuing a PhD in Computer Science, Electrical Engineering, Optical Engineering, Applied Mathematics, Physics, or a related technical field.
- Strong research background in computer vision and machine learning, with hands-on model training experience.
- Experience with at least one of: sequence modeling, language modeling, efficient neural network design, or signal processing.
Preferred Qualifications
- Proven track record of high-impact research, demonstrated by publications in CVPR, ICCV, ECCV, NeurIPS, ICLR, SIGGRAPH, or similar.
- Hands-on experience with hardware prototyping involving cameras, structured light, or other active sensing systems.
- Familiarity with on-device or on-sensor compute, embedded ML deployment, and hardware/software co-design tradeoffs.
- Self-motivated, curious, and excited about taking ambitious research ideas from prototype to working system.
Availability (Start date, End date) should be clearly stated in your resume.