7m ago
Software Engineer
Hummingbird·LLM Engineer · Financial technology
📡Remote In-Country
artificial_intelligenceawsazurebackend_development+17
Large Language Model Training System Engineer
ByteDance | ML / AI Engineer | Internet
Hybrid
Full Time
United States of America, San Jose
Source not independently verified
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Position:
Large Language Model Training System Engineer Graduate (Applied Machine Learning) - 2027 Start
Company:
ByteDance
Location:
United States, San Jose, California
Employment type:
Full Time
Work Arrangement:
Onsite
Short Summary:
Join ByteDance's Data AML team to develop training systems for large models, enabling innovative solutions in machine learning across various applications.
Responsibilities:
- Participate in the development of the Volcano Ark training system for large model post-training.
- Design elastic training solutions for complex multi-tenant training scenarios.
- Design reinforcement learning systems to improve training efficiency.
Requirement:
- Bachelor's or Master's degree in Computer Science or related discipline.
- Proficient in Python, Rust, or C++; strong framework design skills.
- Experience in training framework design or system optimization preferred.
- Strong interest in solving technical problems and applying scientific modeling methods.
Benefits:
- Opportunities to pursue bold ideas and tackle complex challenges.
- Support for internal business teams with large-scale machine learning compute.
- Access to professional algorithm and technical services.
Large Language Model Training System Engineer Graduate (Applied Machine Learning) - 2027 Start
Company:
ByteDance
Location:
United States, San Jose, California
Employment type:
Full Time
Work Arrangement:
Onsite
Short Summary:
Join ByteDance's Data AML team to develop training systems for large models, enabling innovative solutions in machine learning across various applications.
Responsibilities:
- Participate in the development of the Volcano Ark training system for large model post-training.
- Design elastic training solutions for complex multi-tenant training scenarios.
- Design reinforcement learning systems to improve training efficiency.
Requirement:
- Bachelor's or Master's degree in Computer Science or related discipline.
- Proficient in Python, Rust, or C++; strong framework design skills.
- Experience in training framework design or system optimization preferred.
- Strong interest in solving technical problems and applying scientific modeling methods.
Benefits:
- Opportunities to pursue bold ideas and tackle complex challenges.
- Support for internal business teams with large-scale machine learning compute.
- Access to professional algorithm and technical services.
Required Skills
performance_marketingpythonrust
Required Languages
🇬🇧 English
Key competency: ML / AI Engineer