Video/Image AI/ML Software Engineer Intern (Multimedia) - 2027 Start (PhD)

Public source summary from intern-list.com / Jobright.

ByteDance develops technology and products that inspire creativity and enrich life. The Video/Image AI/ML Software Engineer Intern will conduct research and development on multimedia video analysis and quality assessment algorithms, build datasets and evaluation pipelines, and optimize machine learning models.

The role also involves applying algorithms to streaming use cases, validating performance, and collaborating with engineering teams to integrate research into production workflows.

Responsibilities

Conduct research and development on video analysis algorithms, including but not limited to region-of-interest (ROI) detection, content understanding, feature extraction, and perceptual quality assessment Support the design and implementation of image/video quality evaluation methods, including both objective and learning-based approaches Assist in building and curating datasets, benchmarks, and evaluation pipelines for multimedia quality and content analysis tasks Contribute to end-to-end video quality optimization solutions by combining video analysis, enhancement, processing, and encoding techniques, such as frame-level rate control and perceptual optimization strategies Apply developed algorithms to VOD and live streaming use cases, including quality monitoring, data analysis, objective evaluation, and performance validation Prototype, train, and optimize machine learning / deep learning models for multimedia understanding and quality-related tasks Collaborate with cross-functional teams, including infrastructure, platform, and engineering teams, to help integrate research prototypes into production workflows Participate in offline experiments, online validation, and A/B testing analysis to measure algorithm impact and guide iteration Document research findings, experimental results, and technical insights, and communicate them clearly to both research and engineering stakeholders

Qualifications: Currently pursuing a PhD degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related technical field Strong programming, debugging, and optimization skills in one or more general-purpose programming languages, such as C/C++ and/or Python Solid understanding of image/video analysis or image/video quality assessment methods Familiarity with commonly used objective quality metrics and related techniques, such as VMAF, PSNR, SSIM, or similar approaches Hands-on experience with machine learning or deep learning and familiarity with frameworks such as PyTorch or TensorFlow Ability to conduct experiments independently, analyze results rigorously, and iterate based on data Good written and verbal communication skills, with the ability to work effectively in a collaborative research and engineering environment Research or hands-on experience with Transformer architectures, multimodal large models (MLLMs), or vision-language/video-language modeling Familiarity with video processing and enhancement algorithms, such as super-resolution, restoration, denoising, or diffusion-based approaches Understanding of video codecs and compression standards, such as AVC, HEVC, AV1, and VP9, with exposure to video codec design or optimization preferred Experience in perceptual video optimization, learned compression, or quality-driven encoding strategies Familiarity with multimedia system deployment, production experimentation, or large-scale evaluation pipelines Exposure to embedded systems, processors such as ARM or RISC-V, or real-time development in RTOS environments is a plus Demonstrated passion for turning advanced research into impactful real-world applications

Benefits: Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.