This job is closed
We regret to inform you that the job you were interested in has been closed. Although this specific position is no longer available, we encourage you to continue exploring other opportunities on our job board.
Software Engineer, Machine Learning Platform
Bytedance - Seattle, WA
posted 2 months ago
About the position
The Software Engineer for the Machine Learning Platform at ByteDance is responsible for developing and enhancing the company's machine learning infrastructure to support algorithm production and efficient iteration across various business applications. This role involves designing and implementing frameworks and toolchains, exploring cutting-edge machine learning technologies, and collaborating with business teams to translate requirements into technical solutions. The position is part of a newly established team focused on advancing large model technology and contributing to technological and societal advancements.
Responsibilities
- Develop ByteDance's machine learning platform to support algorithm production and efficient iteration for related company businesses.
- Design and implement machine learning infrastructure, frameworks, toolchains, etc., and drive their integration into business applications.
- Explore cutting-edge machine learning technologies to continuously enhance platform capabilities and reduce algorithm usage costs.
Requirements
- Basic understanding and familiarity with large language models, multimodal models, intelligent agent technologies, and the deployment processes associated with large models.
- Proficiency in Python and/or Go programming, with strong coding practices and effective code management skills.
- Familiar with foundational server-side technologies, including but not limited to HDFS, Ray, and message queues, along with the ability to efficiently develop and maintain backend services.
- Strong communication skills, with the ability to effectively collaborate with business teams, understand business requirements, and translate them into technical solutions.
Nice-to-haves
- Experience in developing and optimizing automated evaluation techniques for large models to enhance usability and performance.
- Solid knowledge of and ability to use common deep learning frameworks like PyTorch and vLLM for model inference and deployment.
- Experience in open-source projects within communities such as GitHub.
Benefits
- 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents.
- Health Savings Account (HSA) with a company match.
- Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
- Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care.
- 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) and 10 paid sick days per year.
- 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
- Mental and emotional health benefits through EAP and Lyra.
- 401K company match, gym and cellphone service reimbursements.
