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    Machine Learning Engineer Intern - Dublin, United States - Abs Data

    Abs Data
    Abs Data Dublin, United States

    3 weeks ago

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    Description

    Job title:
    Machine Learning Engineer Intern – GenAI – 2024 Summer (Phd)


    Company:

    Job description :
    TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy.

    TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, 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. About the Team

    The team is working on the next generation large language model-based applications.

    Our focus is on the artificial intelligence, leveraging our expertise to develop sophisticated AI algorithms that can understand, learn, predict, and significantly improve user experience.

    We aim to revolutionize the way we interact with machines, making them more intuitive and human-like than ever before.

    Driven by a commitment to excellence and a robust understanding of AI capabilities, we are pushing the boundaries of what's possible in language model-based applications.

    As an MLE Intern, you will be contributing to the development and optimization of our machine learning models.

    You will work closely with senior engineers and researchers to handle data processing, annotation analysis, and iterate on algorithm strategies to enhance our AI solutions.

    This role offers a unique opportunity to gain hands-on experience in the fast-paced field of AI and machine learning.
    Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. This Internship Program runs for 12 weeks beginning in May/June 2024.

    Successful candidates must be able to commit to one of the following summer internship cycles below:


    • May 20, 2024 to August 9, 2024
    • May 27, 2024 to August 16, 2024
    • June 10, 2024 to August 30, 2024
    We will prioritize candidates who are able to commit to these start dates.

    Please state your availability clearly in your resume (Start date, End date).Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply.

    The application limit is applicable to TikTok and its affiliates' jobs globally.

    Applications will be reviewed on a rolling basis – we encourage you to apply early.– Participate in the collection, cleaning, and preprocessing of large datasets to prepare them for analysis and modeling.

    – Assist in the development and implementation of data annotation frameworks, ensuring high-quality data for training our models.

    – Collaborate with the team to analyze data annotation results and identify areas for improvement in data quality and model performance.

    – Contribute to the iterative development of machine learning algorithms, including prototyping, testing, and evaluation.

    – Work on cross-functional teams to integrate machine learning models into our platform, ensuring scalability and efficiency.

    – Stay up-to-date with the latest machine learning trends, tools, and best practices to continually enhance our processes and solutions


    Qualifications:
    Minimum

    Qualifications:

    • Currently enrolled in a PhD degree program in Computer Science, Engineering, Mathematics, or a related field with a focus on machine learning or artificial intelligence.
    • Graduating December 2024 onwards with the intent to return to degree program after the completion of the internship.
    • Able to commit to working for 12 weeks during Summer 2024.
    • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
    Preferred

    Qualifications:
    – Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python).

    – Basic understanding of data structures, algorithms, and statistical models used in machine learning.

    – Strong analytical and problem-solving skills, with keen attention to detail.

    – Excellent communication and teamwork abilities, with a willingness to learn and contribute to a collaborative environment.

    – Previous experience with data processing, annotation, or algorithm development is a plus.
    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 submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here:



    Expected salary :

    Location :
    San Jose, CA

    Job date :
    Tue, 16 Apr :04:39 GMT

    #Machine #Learning #Engineer #Intern #GenAI #Summer #Phd

    Apply for the job now

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