Machine Learning Engineer Graduate (Monetization Technology - Apps Ads & Gaming) - 2024 Start (BS/MS/PhD))
San Jose, California
Employer: TikTok
Industry: Machine learning
Salary: Competitive
Job type: Full-Time
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.
The Global Product & RD team is building up core TikTok products to ensure TikTok continues to grow, deliver the best product experience to all of our users, build the most attractive features to help users enjoy their time on TikTok, earn trust in privacy protection, and more.
The Global Product team is growing exponentially. The business lines are ranging from Monetization Technology, Data, Machine Learning, System, Infrastructure, AR Effects, Security Technology and more.
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.
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:
1. January 15, 2024
2. February 5, 2024
3. March 4, 2024
4. May 20, 2024
5. June 10, 2024
6. July 15, 2024
7. August 12, 2024
We 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 as early as possible.
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.
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 etc.
- 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
- Graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
- 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. 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 https://shorturl.at/cdpT2.
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.
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.
The Global Product & RD team is building up core TikTok products to ensure TikTok continues to grow, deliver the best product experience to all of our users, build the most attractive features to help users enjoy their time on TikTok, earn trust in privacy protection, and more.
The Global Product team is growing exponentially. The business lines are ranging from Monetization Technology, Data, Machine Learning, System, Infrastructure, AR Effects, Security Technology and more.
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.
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:
1. January 15, 2024
2. February 5, 2024
3. March 4, 2024
4. May 20, 2024
5. June 10, 2024
6. July 15, 2024
7. August 12, 2024
We 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 as early as possible.
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.
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 etc.
- 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
- Graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
- 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. 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 https://shorturl.at/cdpT2.
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.
Created: 2024-04-30
Reference: A00773
Country: United States
State: California
City: San Jose
ZIP: 95118
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