TikTok
Tech Lead Machine Learning Engineer, TikTok Branding Ads
TikTok, San Jose, California, United States, 95199
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 UsAt 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.
TikTok's immersive experience, global presence, and high engagement makes it the ideal destination for brands, big and small, to showcase their unique identity, connect with their consumers, and build strong lasting relationships over time. Our Brand Ads team focuses on enabling brands to grow and succeed on TikTok by creating cutting-edge monetization products that empower users, creators, and advertisers.
The Brand Ads Team builds technologies that unlock business growth potential. This team owns several ads products: reservation ads, auction ads, and innovative content ads that enable advertisers and users to foster more awareness of their brand to attain their business goals. We work on the end-to-end ads delivery tech stack, including ads bidding, ranking, and forecasting.
We are looking for seasoned engineers that have strong problem-solving skills and algorithm understanding to build and manage systems with high performance, scalability, and availability. You will have the opportunity to partner closely with global engineering and product teams in a high-impact and fast-paced environment.
What you'll do:Create innovative monetization products that drive engagement and revenue.Participate in the development of a large-scale Ads system.Participate in the development and iteration of Ads algorithms by using Machine Learning.Work on NLP and CV related technology for content understanding and taxonomy.Contribute to the success of a rapidly growing and evolving organization with speediness and quality.
QualificationsBS degree in Computer Science, Computer Engineering or other relevant majors, with 7+ years of related work experience.Excellent programming, debugging, and optimization skills in one or more general purpose programming languages including but not limited to: Go, C/C++, Python.Ability to think critically and to formulate solutions to problems in a clear and concise way.Relevant professional experience with machine learning, data mining, data analysis, distribution systems.Good understanding in one of the following domains: brand ads, content ads, auction, bidding, ranking, and ads forecasting.Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack.Good product sense and experience designing and implementing product features.
Job Information:【For Pay Transparency】Compensation Description (annually): The base salary range for this position in the selected city is $224000 - $410000 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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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 UsAt 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.
TikTok's immersive experience, global presence, and high engagement makes it the ideal destination for brands, big and small, to showcase their unique identity, connect with their consumers, and build strong lasting relationships over time. Our Brand Ads team focuses on enabling brands to grow and succeed on TikTok by creating cutting-edge monetization products that empower users, creators, and advertisers.
The Brand Ads Team builds technologies that unlock business growth potential. This team owns several ads products: reservation ads, auction ads, and innovative content ads that enable advertisers and users to foster more awareness of their brand to attain their business goals. We work on the end-to-end ads delivery tech stack, including ads bidding, ranking, and forecasting.
We are looking for seasoned engineers that have strong problem-solving skills and algorithm understanding to build and manage systems with high performance, scalability, and availability. You will have the opportunity to partner closely with global engineering and product teams in a high-impact and fast-paced environment.
What you'll do:Create innovative monetization products that drive engagement and revenue.Participate in the development of a large-scale Ads system.Participate in the development and iteration of Ads algorithms by using Machine Learning.Work on NLP and CV related technology for content understanding and taxonomy.Contribute to the success of a rapidly growing and evolving organization with speediness and quality.
QualificationsBS degree in Computer Science, Computer Engineering or other relevant majors, with 7+ years of related work experience.Excellent programming, debugging, and optimization skills in one or more general purpose programming languages including but not limited to: Go, C/C++, Python.Ability to think critically and to formulate solutions to problems in a clear and concise way.Relevant professional experience with machine learning, data mining, data analysis, distribution systems.Good understanding in one of the following domains: brand ads, content ads, auction, bidding, ranking, and ads forecasting.Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack.Good product sense and experience designing and implementing product features.
Job Information:【For Pay Transparency】Compensation Description (annually): The base salary range for this position in the selected city is $224000 - $410000 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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