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    Machine Learning Engineer - San Jose, CA, United States - TikTok

    TikTok
    TikTok San Jose, CA, United States

    3 weeks ago

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    Description

    Responsibilities

    TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo. Why Join Us
    Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
    Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
    To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
    At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
    Join us. The mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & ecom ranking in our company. We also drive substantial impact on core businesses of the company. Currently, we are looking for Machine Learning Engineer - Machine Learning Infrastructure to join our team to support and advance that mission. Responsibilities:
    - Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models.
    - Responsible for improving use-ability and flexibility of the machine learning infrastructure.
    - Responsible for improving the workflow of model training and serving, data pipelines, storage system and resource management for multi-tenancy machine learning systems.
    - Responsible for designing and developing key components of ML infrastructure and mentoring interns. Qualifications Minimum Qualifications
    - Proficient in at least one programming language such as Go/Python in Linux environment, with excellent coding skills.
    - Familiar with open source distributed scheduling/orchestration/storage frameworks, such as Kubernetes (K8S), Yarn (Flink, MapReduce), Mesos, Celery, HDFS, Redis, S3, etc., with rich practical experience in machine learning system development.
    - Master the principle of distributed systems and participate in the design, development and maintenance of large-scale distributed systems.
    - Possess excellent logical analysis ability, able to perform reasonable abstraction and decomposition of business logic. 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.
    - Experience in using/designing open-source machine learning lifecycle management systems: TFX TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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. TikTok 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 $ $355000 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.

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