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

    TikTok
    TikTok San Jose, CA, United States

    4 days 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. At TikTok, we treat privacy as our first priority in our product design and implementation. Privacy is not just about regulation compliance, but also about a more trusted way to enable technology innovation by respecting users' privacy choices Privacy Innovation (PI) Lab is established to explore the next frontier of privacy technology and theory in the digitalized world. We provide key insights and technical solutions on privacy-related innovation for all TikTok's products. Furthermore, we also collaborate with worldwide technical and academic communities to build an open ecosystem to promote privacy friendly digital experience. PI Lab is growing fast and seeking highly experienced, bright, and capable researchers and professionals to join our team. As a member of PI Lab, you will have the opportunities to research advanced privacy technology and theory together with worldwide influential researchers, and to tackle the critical industrial challenges on privacy innovation serving billions of TikTok users by applying cutting-edge technology. Responsibilities
    - Participate in the construction of a multi-party joint modeling and data analysis platform
    - Work with product teams to understand key privacy requirements from TikTok product family and convert research outcomes into technical solutions and product prototypes.
    - Work with research teams for complex experiments requiring optimized algorithms running on large datasets or sophisticated data processing.
    - Build open-source tools and infrastructure for privacy related research and engage with community contributors in external events including meetups, hackathons, summits. Qualifications Qualifications
    - PhD or Master's degree in Computer Science or a related field, or 3+ years of experience working in related fields.
    - Familiar with federated learning / distributed machine learning algorithms and experienced in federated learning frameworks and applications development
    - Familiar with machine learning and deep learning frameworks, like TensorFlow, Pytorch, JAX
    - Interest in privacy-enhanced techniques (PET) and related technical domains, including data and identity anonymization, differential privacy, secure multi-party computation, federated machine learning, on-device machine learning, interpretable AI, privacy-preserving technology for large language models (LLM) or foundation models, privacy-preserving regulation technology, etc.
    - Proficiency in at least one of the following programming languages, Go, C++, Python, Rust, Java.
    - Ability to work globally and collaboratively within a team. 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 $ $250000 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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