Machine Learning Engineer Graduate (Monetization Tech - Lead Ads Technology) - 2

ResponsibilitiesTikTok 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.The Lead Ads team empowers TikTok's global monetization (billion-dollar business) via efficiently delivering lead ads on TikTok. TikTok lead ads allow marketers advertising on TikTok to have seamless and frictionless interaction with their potential customers directly on the TikTok platform. Our team is committed to develop novel machine learning solutions for ranking, building scalable foundations and launching various products that maximize the efficiency of lead ads delivery.We 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 16, 2024February 6, 2024March 6, 2024May 22, 2024June 12, 2024July 17, 2024August 14, 2024We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Online Assessment: Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment in HackerRank.Responsibilities:Work on the development of a large-scale online ads delivery system and improve delivery efficiency for lead ads.Explore multi-stage ranking models, conduct data analysis, develop feature engineering. Especially facing sparse conversion data to optimize conversions for SMB clients.Participate in the innovations of machine learning models, AIGC usage scenarios, etc.Partner with product managers, data scientists and product strategy & operation team to launch new Lead Ads products and features.Targeting ultimate offline conversion, optimizing deep conversion events and helping clients to optimize full funnel ROI.Qualifications:Graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical disciplineMust obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.Experience with coding in Python, Java, Golang, C#, or C++Have a clear understanding of Machine LearningPreferred Qualifications:Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publicationsHigh levels of creativity and quick problem-solving capabilitiesTikTok 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 earlycareers.accommodations@tiktok.com.By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here:

https://careers.tiktok.com/legal/privacy .Job Information:Compensation Description (annually): The base salary range for this position in the selected city is $112065 - $172800 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:100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents, and a Health Savings Account(HSA) with a company match.Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.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.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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