Senior ML Engineer - Global Video Recommendations

Pangleglobal; San Jose (CA); On-site; USD 212,800 - 387,600; Full time

Job summary

ByteDance's San Jose Technology team seeks a strong engineer to optimize the core recommendation algorithms across video creation tools worldwide, including CapCut and Hypic, and to drive content distribution and user growth.

The role requires solid coding, ML knowledge, and excellent problem-solving skills, with familiarity in ML, computer vision, NLP, or data mining. Base pay ranges from $212,800 to $387,600 annually, with bonuses and RSUs, plus comprehensive benefits.

Qualifications

• Strong coding skills with a solid foundation in data structure and algorithms.
• Strong theoretical knowledge and practical experience in machine learning.
• Excellent problem analysis and solving skills, with passion for tackling challenging problems.
• Familiarity with one or more areas in machine learning, computer vision, natural language processing, or data mining.

Responsibilities

• Globally optimize the core recommendation algorithms and strategies for video creation tools, including CapCut and Hypic.
• Enhance user growth efficiency by optimizing the distribution of content created with CapCut, Hypic, and other similar tools.
• Improve user experiences during creation by leveraging a deep understanding of user behavior and state-of-the-art machine learning technologies.

Skills

Strong coding skills

Algorithms & data structures

Machine learning fundamentals

ML, CV, NLP, data mining familiarity

Job description

ByteDance's San Jose Technology team seeks a strong engineer to optimize the core recommendation algorithms across video creation tools worldwide, including CapCut and Hypic, and to drive content distribution and user growth.

The role requires solid coding, ML knowledge, and excellent problem-solving skills, with familiarity in ML, computer vision, NLP, or data mining. Base pay ranges from $212,800 to $387,600 annually, with bonuses and RSUs, plus comprehensive benefits.