ByteDance

Builds content apps, business software and AI

AI Vision Research Engineer New Grad

Computer Vision +1Confirmed live in the last 24 hours

Full-timeSan Jose, CA, USANo salary listedIn-person

About the Job

Requirements

Individuals must be completing or have recently completed a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
Experience conducting research in machine learning algorithms or AI accelerator design is required.
Experience with programming tools and languages such as C/C++, MATLAB, and Python is required.

Responsibilities

Innovate and develop a power-efficient, low-latency, highly intelligent machine perception vision system for a VR/AR product.
Develop training and data collection or generation pipelines, along with state-of-the-art machine learning algorithms and frameworks to understand scenes and user behaviors.
Map machine learning algorithms to hardware accelerators, identify performance bottlenecks, optimize performance and efficiency, and propose more efficient hardware/software co-design for AI accelerators.
Collaborate with cross-functional teams and translate system requirements into appropriate cloud-edge workload partitioning and edge machine learning accelerator hardware/software requirements.
Perform quantitative evaluations using system modeling and FPGA prototyping to validate ideas and architecture options.

Desired Qualifications

Familiarity with appropriate machine learning frameworks.
Good communication skills, an open mind, and enthusiasm for new technologies.

About Team: PICO is a leading VR/AR platform with independent innovation and R&D capabilities, focusing on VR all-in-one technology. PICO is committed to offering immersive and interactive VR experiences to our customers, including providing tailor-made solutions for our enterprise clients in the fields of education and healthcare. We are looking for talented individuals to join us for this future position in 2026. 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 between January 5,2026 to December 14, 2026 Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date). 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: - Innovate and develop a power-efficient, low-latency, highly-intelligent machine perception vision system in a VR/AR product. - Develop necessary training, data collection/generation pipeline along with state of art ML algorithm/framework for understanding of the scene and user behaviors. - Map the ML algorithm to the HW accelerator, identify performance bottleneck, optimize performance and efficiency, propose more efficient HW/SW co-design for AI accelerator. - Collaborate with the x-functions team and translate system requirements into a proper cloud-edge workload partition and edge ML accelerator HW/SW requirement. - Perform quantitative evaluations through the use of system modeling, FPGA prototyping for validating ideas and architecture options. Minimum Qualifications - Individuals who are completing or have recently completed a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline. - Experience in research experience in the fields of ML algorithm or AI accelerator design - Experience with programming tools and languages such as C/C++, MATLAB, Python. Preferred Qualifications - Familiar with appropriate ML frameworks. - Good communication skills, open minded and enthusiastic about new technologies

About the Company

ByteDance

Builds content apps, business software and AI

ByteDance builds content and creation apps for consumers, alongside collaboration software and AI services for businesses. Its video platforms connect viewers with creators, while CapCut gives people tools to edit and publish videos. The group also develops Lark for workplace communication and shared documents, and its Seed research teams build language, image, video, and speech models used in consumer apps and sold through BytePlus cloud services. It earns money from advertising, commerce services, paid software subscriptions, and usage of its enterprise technology. ByteDance was founded in 2012 and has its operational headquarters in Beijing, China.

Company size: 10,001+
Company stage: Private
Total funding: $35.1B
Headquarters: Haidian, China
Founded: 2012

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