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    Tech Lead Senior Software Engineer - Los Angeles, United States - Tik Tok

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    Description
    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.


    Responsibilities:

    • Create innovative monetization products that drive engagement and business outcomes.
    • Develop highly scalable services that powers new ad products for billions of requests. Design systems that will optimize monetization efficiency with product engineering and state-of-the-art machine learning technologies.
    • Implement new ad solutions that will continuously protect the user experiences on TikTok.
    • Collaborate with strategy team, product managers, and other key stakeholders to define products and drive initiatives from engineering perspective.
    • Contribute to the success of a rapidly growing and evolving organization with speediness and quality

    Minimum Qualifications:

    • BS degree in Computer Science, Computer Engineering or other relevant majors with 7+ years of 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.
    • Good understanding in one of the following domains: brand ads, content ads, auction, bidding, ranking, and ads forecasting.
    • Good knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data pipeline.
    • 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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