Large-Model Application Scientist (RAG & Deployment)

ByteDance; San Jose (CA); On-site; USD 212,800 - 450,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid parental leave

Short- and long-term disability coverage

Paid time off and holidays

Job summary

ByteDance in San Jose is looking for talented PhD graduates to join their Engineering Architecture team focused on integrating large model technology with real-world applications. This role includes designing technical solutions, collaborating with various teams, and contributing to innovative projects. Candidates should have a strong understanding of deep learning principles, familiarity with tools like TensorFlow and PyTorch, and strong communication skills in both English and Mandarin. The position offers a competitive salary and comprehensive benefits.

Qualifications

• Individuals completing or recently completed a PhD in relevant fields preferred.
• Strong foundation in large models and deep learning required.
• Excellent communication and collaboration skills essential.

Responsibilities

• Design technical solutions and facilitate application deployment.
• Research and apply cutting-edge technologies to enhance performance.
• Collaborate with teams to identify solutions for industry pain points.

Skills

Understanding of large models and deep learning

Communication skills in English and Mandarin

Proficiency in Python

Problem-solving ability

Education

PhD in Software Development, Computer Science, or related

Tools

TensorFlow

PyTorch

Elasticsearch

Job description

ByteDance in San Jose is looking for talented PhD graduates to join their Engineering Architecture team focused on integrating large model technology with real-world applications. This role includes designing technical solutions, collaborating with various teams, and contributing to innovative projects. Candidates should have a strong understanding of deep learning principles, familiarity with tools like TensorFlow and PyTorch, and strong communication skills in both English and Mandarin. The position offers a competitive salary and comprehensive benefits.