TikTok
Machine Learning Engineer Graduate (App Ads and Gaming) - 2025 Start (BS/MS)
TikTok, San Jose, California, United States, 95199
Overview
Machine Learning Engineer Graduate (App Ads and Gaming) - 2025 Start (BS/MS). Join to apply for the Machine Learning Engineer Graduate (App Ads and Gaming) - 2025 Start (BS/MS) role at TikTok. Responsibilities
Work on developing a large-scale App Ads delivery system to improve accuracy. Explore multi-stage ranking models, conduct data analysis, and develop feature engineering. Participate in the innovations of core App Ads systems using machine learning models, ranking algorithms, etc. Partner with product managers, data scientists, and product strategy & operation team to launch new App Ads, products, and features. As a graduate, you will have opportunities to kickstart your career, pursue bold ideas and explore growth opportunities with TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2025. We will prioritize candidates who can 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 for a maximum of two positions and will be considered for jobs in the order you applied for. The application limit applies to TikTok and its affiliates globally. Qualifications
BS/MS degree in Computer Science, Computer Engineering, or other relevant majors. Excellent programming, debugging, and optimization skills in one or more general-purpose programming languages, including but not limited to Go, C/C++, and Python. Familiarity with online experimentation methods and analytics. Essential knowledge and skills in statistics. Curiosity toward new technologies and entrepreneurship. Experience with recommender system projects. Experience with applying machine learning methods for ranking. Compensation and Benefits
The base salary range for this position in the selected city is $118,657 - $259,200 annually. Compensation may vary outside of this range depending on 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. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice. Equal Opportunity and Accommodations
Los Angeles County Candidates
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment. About TikTok
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, with offices worldwide. Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our product helps people authentically express themselves, discover and connect. We strive to do great things with great people and maintain an 'Always Day 1' mindset to achieve meaningful breakthroughs for our users. Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. We celebrate diverse voices and aim to reflect the communities we reach. TikTok Accommodation
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://tinyurl.com/RA-request Seniority level
Internship Employment type
Full-time Job function
Engineering and Information Technology Industries
Entertainment Providers Referrals increase your chances of interviewing at TikTok by 2x. Get notified about new Machine Learning Engineer jobs in San Jose, CA.
#J-18808-Ljbffr
Machine Learning Engineer Graduate (App Ads and Gaming) - 2025 Start (BS/MS). Join to apply for the Machine Learning Engineer Graduate (App Ads and Gaming) - 2025 Start (BS/MS) role at TikTok. Responsibilities
Work on developing a large-scale App Ads delivery system to improve accuracy. Explore multi-stage ranking models, conduct data analysis, and develop feature engineering. Participate in the innovations of core App Ads systems using machine learning models, ranking algorithms, etc. Partner with product managers, data scientists, and product strategy & operation team to launch new App Ads, products, and features. As a graduate, you will have opportunities to kickstart your career, pursue bold ideas and explore growth opportunities with TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2025. We will prioritize candidates who can 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 for a maximum of two positions and will be considered for jobs in the order you applied for. The application limit applies to TikTok and its affiliates globally. Qualifications
BS/MS degree in Computer Science, Computer Engineering, or other relevant majors. Excellent programming, debugging, and optimization skills in one or more general-purpose programming languages, including but not limited to Go, C/C++, and Python. Familiarity with online experimentation methods and analytics. Essential knowledge and skills in statistics. Curiosity toward new technologies and entrepreneurship. Experience with recommender system projects. Experience with applying machine learning methods for ranking. Compensation and Benefits
The base salary range for this position in the selected city is $118,657 - $259,200 annually. Compensation may vary outside of this range depending on 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. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice. Equal Opportunity and Accommodations
Los Angeles County Candidates
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment. About TikTok
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, with offices worldwide. Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our product helps people authentically express themselves, discover and connect. We strive to do great things with great people and maintain an 'Always Day 1' mindset to achieve meaningful breakthroughs for our users. Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. We celebrate diverse voices and aim to reflect the communities we reach. TikTok Accommodation
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://tinyurl.com/RA-request Seniority level
Internship Employment type
Full-time Job function
Engineering and Information Technology Industries
Entertainment Providers Referrals increase your chances of interviewing at TikTok by 2x. Get notified about new Machine Learning Engineer jobs in San Jose, CA.
#J-18808-Ljbffr