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TikTok

Machine Learning Engineer Graduate, Foundation Model Applications (TikTok Video

TikTok, Bristol, Tennessee, us, 37621


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

Below, you will find a complete breakdown of everything required of potential candidates, as well as how to apply Good luck.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.About the TeamWe are a pioneering Machine Learning team at TikTok, committed to spearheading innovation in leveraging cutting-edge technologies in foundation models to enhance TikTok's experience, an avenue that our organization sees as a very promising future direction. Our team culture cherishes the "First Principles Thinking" approach, and we deeply value understanding things at their core and focusing on delivering solid, well-grounded solutions.What you'll do:

Understand and optimize TikTok's industry-leading recommendation systemDeploy, prompt, and fine-tune cutting-edge foundation modelsApply foundation models to enhance TikTok's recommendation system and product offerings, improving the experience of billion-scale consumers and creatorsCollaborate with cross-functional teams, including product managers, data scientists, and product engineers, to form and solve problems, refine machine learning algorithms, and communicate resultsRegularly run A/B tests, perform analyses, and iterate algorithms based on resultsWork with infrastructure teams on improving the efficiency and stability of machine learning systemsWe are looking for talented individuals to join our team in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to one of the following start dates below:January 15, 2024February 5, 2024March 4, 2024May 20, 2024June 10, 2024July 15, 2024August 12, 2024We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.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.Qualifications

PhD degree in the field of computer science or a related technical disciplineHands-on experience in one or more of the following areas: Machine Learning, Deep Learning, Recommender Systems, Data Mining, Natural Language Processing, or Computer VisionStrong programming skills in Python and/or C/C++, and a deep understanding of data structures and algorithmsFamiliar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet)Excellent communication and teamwork skills, and a passion for learning new techniques and tackling challenging problemsPreferred Qualifications:

Prior research/industry experience with deploying, prompting, and fine-tuning foundation modelsPrior research/industry experience with applied machine learning, or large-scale recommendation systemsPublications at major AI-related conferences such as NeurIPS, ICML, ICLR, AAAI, IJCAI, ACL, NAACL, EMNLP, CVPR, ICCV, ECCV, KDD, ICDM, SDM, RecSys, or simply on arXiv but with large impactStrong track record in AI-related competitions, or participation in public/open-source AI-related projects of high visibilityA strong passion for First Principles ThinkingTikTok 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 gprd.accommodations@tiktok.comJob Information:

For Pay TransparencyThe base salary range for this position in the selected city is $119700 - $210672 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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