Responsibilities
About TikTok TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join Us Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us. About the Team Our team plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey! Responsibilities Work across the full machine learning (ML) modeling lifecycle, to develop, build, and optimize the performance of a large-scale recommendation system. Build and train ML, deep learning models and their variants to analyze and predict user behavior metrics and treatment effects with ML frameworks. Optimize the core algorithms and strategies (recall, coarse ranking, fine ranking, mixed ranking, and diversity) through modeling technologies including deep learning, representation learning, multi-task learning, causal inference, and sequence modeling. Continuously improve recommendation technology by applying a deep understanding of the ecological roles of users, creators, platforms, drive healthy growth in user experience, creator growth, platform revenue, and create a virtuous cycle of livestream ecosystem. Collaborate with product and operations teams and excel in technological innovations to achieve business development goals. Mentor junior Machine Learning Engineers and interns.
Qualifications
Qualifications Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Statistics, Mathematics, or a related field, and 2 years of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Statistics, Mathematics, or a related field, and 5 years of post-bachelor's, progressive related work experience. Of the required experience, must have 2 years of experience in each of the following: Coding using Python or C++; Optimizing, training, and deploying machine learning and deep learning models using PyTorch or TensorFlow; Developing code and identifying issues in a Linux environment; Developing and deploying large-scale machine learning systems; and Utilizing Spark, Hadoop, or Flink. Type: Full time, 40 hours/week Location: San Jose, CA Salary Range: $211536 - $355000 per year To Apply, click the apply button below. Contact lpresumes@tiktok.com if you have difficulty submitting resume through the website. 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://tinyurl.com/RA-request #LI-DNI #IND-DNI
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $211536 - $355000 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.
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.
For Los Angeles County (unincorporated) 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:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
