Join us.

We are Generative AI team under Monetization Technology. Our team focuses on developing cutting-edge Generative AI techs across all modalities, including text, image, videos, landing pages, etc., and creates industry-leading technical solutions to improve creative efficiency for advertisers, agencies and creators. We are committed to automated creative workflows by leveraging Generative AI technologies, to increase overall revenue for advertisers, agencies and creators.

We aim to drive and lead the generative AI in the ads tech and creative industry, powering products and driving values for our clients, creators, and the whole ecosystem. We are looking for infrastructure engineers who are excited to grow their business understanding, build highly scalable and reliable software/infrastructure, partner across functions with global teams, and make big impacts. If you are someone who welcomes challenges, we are eager to have you on the team!

Responsibilities:
- Work closely with infrastructure architects and SREs and to enhance the Generative AI Platform's availability, scalability, and cost-efficiency.
- Engineer robust, high-performance data processing and large language model training/inference pipelines, drive engineering excellence and optimization initiatives to ensure the most effective use of resources, including cost optimization and performance tuning of the ML platform.
- Provide a cutting-edge platform to model researchers and data pipeline engineers, accelerating the development and deployment of innovative ML models.
- Stay abreast of the latest advancements in machine learning infrastructure to implement solutions that enhance platform efficiency and performance.

Qualifications

Minimum Qualifications:
1. B.S./M.S./Ph.D. in Computer Science, Computer Engineering, or a related field.
2. Proficiency in Python and familiarity with deep learning frameworks like PyTorch. Strong skills in Linux, Docker, Kubernetes, and high-performance computing principles, including Infrastructure as Code (IaC).
3. Demonstrated expertise in scaling and optimizing generative AI engineering tasks in GPU-intensive environments.
4. Expertise in scaling generative AI models using sequence parallel, model parallel, and pipeline parallel techniques on multiple GPUs.
5. Proven ability to guide and automate the acceleration of model deployment efficiently, enhancing platform capabilities and reducing time-to-market for new features.

Preferred Qualifications:
1. Technical Skills: A strong preference for candidates with good experience in CUDA, training/inference FP8/FP4 optimization etc.
2. Deep understanding of cloud infrastructure platforms like GCP/Azure, and experience collaborating with DevOps/SRE teams for large-scale ML project deployments.
3. Experience with Scheduling Services: Familiarity with scheduling services like Linux Slurm, Kubernetes Volcano, or third-party tools like Run.AI, etc.
4. Distributed Computing: Experience in large-scale ML training and deployment, familiarity with distributed computing frameworks such as Ray.io.
5. Strong problem-solving skills, and proficient in communication, collaboration, and project management.

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

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:

We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care.

Our time off and leave plans are: 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.

We also provide generous benefits like 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.

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.