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

    TikTok
    TikTok San Jose, CA, United States

    1 week 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, Mumbai, Singapore, Jakarta, Seoul, and Tokyo. Why Join Us
    At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok. Data-E-commerce-Global Supply Chain team:
    Our team is dedicated to enhancing clients' shopping experience and reducing operational costs in the supply chain of TikTok E-commerce by developing end-to-end algorithm capabilities using machine learning, computer vision, multimodal, operations research, data mining, and causal inference methods. We are seeking an exceptional and motivated Machine Learning Engineer with expertise in Computer Vision (CV) or AIGC or Multimodal to join our dynamic and fast-paced team. In this role, you will collaborate with cross-functional teams including data scientists, engineers, product managers, and business stakeholders to apply state-of-the-art machine learning techniques to solve challenging problems in the e-commerce supply chain and logistics domain. You will enable the team to improve operational efficiency, personalize customer experience through advanced technologies like computer vision and multimodality. Responsibilities:
    1. Responsible for exploring cutting-edge technologies such as computer vision, AIGC (Artificial Intelligence Generated Content), and multimodal machine learning in the field of content commerce.
    2. Responsible for applying technologies such as AIGC in the field of content commerce, empowering various aspects of e-commerce such as merchandising, shelve product, and optimization the images of products.
    3. Responsible for optimizing and iterating CV (Computer Vision)/multimodal/AIGC-related models, including image understanding, image generation, image editing, and other advanced technologies. Qualifications Qualifications:
    1. Master's or Ph.D. Degree in Computer Science, Machine Learning, or a related field with excellent programming skills and proficiency in C/C++/Python.
    2. Familiar with model training frameworks such as TensorFlow/PyTorch, understanding of mixed precision training, distributed training, TensorRT deployment, etc.
    3. In-depth research in a specific area of computer vision/multimodality, strong practical skills, priority given to those who have published papers in related competitions and top academic conferences.
    4. Preference candidates with experience in e-commerce or multimodal/AIGC, including image and video understanding, generation, etc.
    5. Good learning ability, excellent communication skills, strong responsibility, proactive and enthusiastic attitude. 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 $ $280000 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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