Data-E-commerce-Global Supply Chain team:
Our team is dedicated to enhancing clients' shopping experience and reducing operational costs in the supply chain of TikTok E-commerce by developing end-to-end algorithm capabilities using machine learning, computer vision, multimodal, operations research, data mining, and causal inference methods.

We are seeking an exceptional and motivated Machine Learning Engineer with expertise in Computer Vision (CV) or AIGC or Multimodal to join our dynamic and fast-paced team. In this role, you will collaborate with cross-functional teams including data scientists, engineers, product managers, and business stakeholders to apply state-of-the-art machine learning techniques to solve challenging problems in the e-commerce supply chain and logistics domain. You will enable the team to improve operational efficiency, personalize customer experience through advanced technologies like computer vision and multimodality.

Responsibilities:
1. Responsible for exploring cutting-edge technologies such as computer vision, AIGC (Artificial Intelligence Generated Content), and multimodal machine learning in the field of content commerce.
2. Responsible for applying technologies such as AIGC in the field of content commerce, empowering various aspects of e-commerce such as merchandising, shelve product, and optimization the images of products.
3. Responsible for optimizing and iterating CV (Computer Vision)/multimodal/AIGC-related models, including image understanding, image generation, image editing, and other advanced technologies.

Qualifications

Qualifications:
1. Master's or Ph.D. Degree in Computer Science, Machine Learning, or a related field with excellent programming skills and proficiency in C/C++/Python.
2. Familiar with model training frameworks such as TensorFlow/PyTorch, understanding of mixed precision training, distributed training, TensorRT deployment, etc.
3. In-depth research in a specific area of computer vision/multimodality, strong practical skills, priority given to those who have published papers in related competitions and top academic conferences.
4. Preference candidates with experience in e-commerce or multimodal/AIGC, including image and video understanding, generation, etc.
5. Good learning ability, excellent communication skills, strong responsibility, proactive and enthusiastic attitude.

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 dataecommerce.accommodations@tiktok.com.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $129200 - $194750 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.