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    Senior Machine Learning Engineer, TikTok Branding Ads - Los Angeles, United States - Tik Tok

    Tik Tok
    Tik Tok Los Angeles, 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
    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.


    TikTok's immersive experience, global presence, and high engagement makes it the ideal destination for brands, big and small, to showcase their unique identity, connect with their consumers, and build strong lasting relationships over time.

    Our Brand Ads team focuses on enabling brands to grow and succeed on TikTok by creating cutting-edge monetization products that empowers users, creators, and advertisers.

    The Brand Ads Team builds technologies that unlock business growth potential.

    This team owns several ads products:

    reservation ads, auction ads, and innovative content ads that enables advertisers and users to foster more awareness of their brand to attain their business goals.

    We work on the end-to-end ads delivery tech stack, including ads bidding, ranking, and forecasting.


    We are looking for seasoned engineers that have strong problem solving skills and algorithm understanding to build and manage systems with high performance, scalability, and availability.

    You will have the opportunity to partner closely with a globalized engineering and product teams in a high-impact and fast-paced environment.


    What you'll do:

    • Create innovative monetization products that drive engagement and revenue.
    • Participate in the development of a large-scale Ads system.
    • Participate in the development and iteration of Ads algorithms by using Machine Learning
    • Work on NLP and CV related technology for content understanding and taxonomy.
    • Contribute to the success of a rapidly growing and evolving organization with speediness and quality.
    Qualifications


    Qualifications:

    • BS degree in Computer Science, Computer Engineering or other relevant majors, with 5+ years of related work experience
    • Excellent programming, debugging, and optimization skills in one or more general purpose programming languages including but not limited to: Go, C/C++, Python.
    • Ability to think critically and to formulate solutions to problems in a clear and concise way.
    • Relevant professional experience with machine learning, data mining, data analysis, distribution system
    • Good understanding in one of the following domains: brand ads, content ads, auction, bidding, ranking, and ads forecasting.
    • Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack
    • Good product sense and experience designing and implementing product features.
    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 during our recruitment process. If you need assistance or an accommodation, please reach out to us at
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