VR/AR Vision AI Research Engineer: Low-Latency ML HW

Bytedance; San Jose (CA); On-site; USD 156,000 - 388,000; Full time

Benefits offered by this job

Medical Insurance

401(k) with company match

Paid parental leave

Disability coverage

Wellbeing benefits

Paid holidays

Job summary

ByteDance’s Pico division in San Jose seeks a PhD-level researcher to design a power-efficient, low-latency machine perception system for VR/AR. You will develop training pipelines, ML algorithms, and map them to HW accelerators, collab with cross-functional teams to partition cloud-edge workloads, and prototype ideas using FPGA validation.

The role requires deep ML expertise, strong programming in C/C++, MATLAB and Python, and experience with ML frameworks.

Qualifications

• PhD required in EE, CS, Physics or related field.
• 3+ years research experience in ML or AI accelerator design.
• 3+ years of experience with programming tools and languages such as C/C++, MATLAB, Python.
• Familiar with appropriate ML frameworks.
• Strong communication skills and enthusiasm for new technologies.

Responsibilities

• Innovate and develop a power-efficient, low-latency, highly-intelligent machine perception vision system in a VR/AR product.
• Develop training, data collection/generation pipelines with state-of-the-art ML algorithms for scene understanding and user behavior.
• Map ML algorithms to the HW accelerator, identify bottlenecks, optimize performance and propose HW/SW co-design.
• Collaborate with x-functions team to translate requirements into cloud-edge workload partition and edge ML HW/SW needs.
• Perform quantitative evaluations through system modeling and FPGA prototyping to validate ideas and architecture options.

Skills

3+ years of research experience in ML/

C/C++

MATLAB

Python

Familiar with ML frameworks

Education

PhD in Electrical Engineering, Computer Science, Physics or related field

Tools

MATLAB

Python

C/C++

Job description

ByteDance’s Pico division in San Jose seeks a PhD-level researcher to design a power-efficient, low-latency machine perception system for VR/AR. You will develop training pipelines, ML algorithms, and map them to HW accelerators, collab with cross-functional teams to partition cloud-edge workloads, and prototype ideas using FPGA validation.

The role requires deep ML expertise, strong programming in C/C++, MATLAB and Python, and experience with ML frameworks.