Software Engineer Graduate (Monetization Technology - Apps Ads & ...
TikTok - San Jose, California, United States, 95123![TikTok](/api/image?src=https%3A%2F%2Fgeneral-board-default.s3.us-east-2.amazonaws.com%2Fpublic%2Fimages%2Fdesk-360x180.webp&w=640&q=75&f=webp)
Work at TikTok
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Overview
Learn more about the general tasks related to this opportunity below, as well as required skills.The App Ads and Gaming team empowers TikTok's global monetization (billion-dollar business) via efficiently delivering application ads on TikTok. Our mission is to push the boundaries of large-scale ads delivery systems and lead the innovations of TikTok's personalized online advertising. Hence, you'll have a chance to get deeply involved in our large-scale distributed systems and state-of-the-art machine learning algorithms. As a Machine Learning Engineer on the App Ads & Gaming team, you will make efforts to develop novel machine learning solutions for ranking, build scalable foundations and launch various products that maximize the efficiency of deep funnel app ads delivery.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.Online Assessment: Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment in HackerRank.Responsibilities
Optimizing deep CVR/CTR/Recall/Rough-sort/Bidding strategies to maximize various conversion metrics in advertising, including LTV, payment rate, and retention rate.Improving the effectiveness of ads delivery in privacy-preserving environments.Exploring new commercial monetization techniques and commercial product designs to promote advertisers' marketing effects.Exploring cutting-edge machine learning techniques, such as multi-objective learning and LLM, in computational advertising.Qualifications
Experience with recommender system projects.Familiarity with online experimentation methods and analytics. Essential knowledge and skills in statistics.Curiosity toward new technologies and entrepreneurship.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.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 ec.accommodations@tiktok.com.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 offer 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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