Responsibilities
The Efficiency Engineering team is all about our passion for crafting innovative tools and applications that empower IT operations and devops teams to achieve new levels of efficiency. We're a tight-knit crew of experienced developers, engineers and problem solvers fueled by a shared vision: streamlining operations, reducing manual workload, and empowering teams to do their best work. In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time. Responsibilities: - Responsible for the design and development of large-scale ML system architecture such as solving technical system problems on high concurrency, reliability, scalability, etc - Develop end-to-end solutions on deep model inference for internal business units such as Search and relevant Large Language Model (LLM) based systems etc - Provide highly automated and extremely performant model optimization solutions for frameworks such as PyTorch and TensorFlow. Some technical solutions includes subgraph matching, compilation optimization, model quantization, heterogeneous hardware, etc. - Manage the large-scale GPU computing power cluster for our global businesses by improving utilization rates of the computing power through methods such as elastic scheduling, GPU overselling, and task orchestration; - Engage in cross functional collaboration with the algorithm department to conduct joint optimization of algorithms and systems.
Qualifications
Minimum Qualifications: - B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions. - Proficient in C/C++/Python, and have solid programming skills. - Familiar with deep learning frameworks (TensorFlow/Pytorch). - Experience in developing and deploying large-scale systems. - Good communication and teamwork skills to clearly communicate technical concepts with other teammates. - Experience on improving core machine learning infrastructure(TensorFlow, Pytorch, and Jax). - 4+ years of industry experience with solid theoretical foundation of machine learning. Preferred Qualifications: - Experience in designing large scale LLM powered applications. - Agile, quick self learner, highly self-motivated with strong sense of product ownership and creative problem solver - Deeply passionate about software coding/development and building great web applications - Ability to perform independent research to solve complex technical problems - Good collaborator and team player, comfortable working in a fast moving, culturally diverse and globally distributed team environment - Passionate about techniques and solving challenging problems. - Experience of driving collaboration across cross-functional teams on delivering shared goals. - Strong communication and teamwork skills. Candidates for this position must be legally authorized to work in the United States. This position is not eligible for visa sponsorship or support.
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $137750 - $337250 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.
About USDS
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.
Data Security Statement
This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.
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.
Diversity & Inclusion
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.
USDS Reasonable Accommodation
USDS 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/USDS-RA
