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    Machine Learning Engineer-Model Training Infrastructure - San Jose, CA, United States - ByteDance

    ByteDance
    ByteDance San Jose, CA, United States

    3 weeks ago

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    Description

    Responsibilities

    Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. Why Join Us Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us. The mission of our AML team is to push next-generation machine learning algorithms and platform for the recommendation system, ads ranking and search ranking in our company. We also drive substantial impact on core businesses of the company. Currently, we are looking for Software Engineer - Machine Learning Training Infrastructure to join our team to support and advance that mission. Responsibilities:
    • Responsible for the design and implementation of a global-scale machine learning training system for feeds, ads and search ranking models
    • Responsible for the design and the implementation of orchestration layer of machine learning offline/online training processes.
    • Responsible for improving use-ability and flexibility of the training APIs.
    • Responsible for profiling and optimizing both training and validation frameworks to ensure efficient use of resources.
    • Responsible for creating, managing, and optimizing data pipelines to ensure data availability for training.
    Qualifications
    • Proficient in C/C++/CUDA/Python, and have solid programming skills.
    • Familiar with deep learning frameworks (TensorFlow/Pytorch).
    • Experience in developing and deploying large-scale systems.
    • Ability to work independently and complete projects from beginning to end and in a timely manner.
    • Good communication and teamwork skills to clearly communicate technical concepts with other teammates.
    • Experience on improving core machine learning infrastructure(TensorFlow, Pytorch, and Jax).
    Preferred Qualifications:
    • Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch).
    • Experience in big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems.
    • Strong background in one of the following fields: Hardware-Software Co-Design, High Performance Computing, ML Hardware Acceleration (e.g., GPU/RDMA) or ML for Systems.
    ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. ByteDance Inc. is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at Job Information: 【For Pay Transparency】Compensation Description (annually) The base salary range for this position in the selected city is $ $205000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Our Company Benefits Are Designed To Convey Company Culture And Values, To Create An Efficient And Inspiring Work Environment, And To Support Our Employees To Give Their Best In Both Work And Life. We Offer The Following Benefits To Eligible Employees: We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care. Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability. We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice. #J-18808-Ljbffr
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