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Algorithm Engineer, E-commerce Knowledge Graph - USDS

4 days ago San Jose, CA

Responsibilities

About the team
Our team enhances the recognition capabilities for users, products, short videos, and more, in order to recommend more suitable products to users and provide them with an excellent shopping experience.

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:
- Construct user profiling system to accurately depict each user's shopping interests by analyzing their behavioral patterns, preferences, and consumption habits during the shopping process.
- Utilise NLP, CV, and multimodal technologies to enhance understanding of short video content and products, supporting search, recommendation, and end-to-end shopping experiences in the marketplace.
- Explore large-scale and high-quality pretraining datasets in specific verticals of e-commerce, leveraging the power of the Byte Universal Model to develop industry-specific models for e-commerce.
- Discover new scenarios for interactive shopping experiences in e-commerce through these innovations.

Qualifications

Minimum Qualifications:
- Deep research expertise in NLP, CV, and multimodal fields, including but not limited to machine translation, NLP, few-shot learning, reinforcement learning, image and video understanding, and multimodal analysis.
- Proficient in training and deploying models using PyTorch, TensorFlow, or other frameworks.
- Strong practical skills, with a preference for those who have project experience in video content understanding or multimodal retrieval. Priority will be given to individuals with awards from competitions such as Kaggle, COCO, ActivityNet, ICPC, NOI/IOI.

Preferred Qualifications:
- Individuals who have published papers in top-tier academic conferences/journals
- Minimum 1 year relevant work experience from a large-scale internet business.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $136800 - $359720 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.

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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.

Client-provided location(s): San Jose, CA
Job ID: TikTok-7547911189717584135
Employment Type: OTHER
Posted: 2025-09-10T20:23:14

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • HSA
    • Life Insurance
    • Fitness Subsidies
    • Short-Term Disability
    • Long-Term Disability
    • On-Site Gym
    • Mental Health Benefits
    • Virtual Fitness Classes
  • Parental Benefits

    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • Snacks
    • Pet-friendly Office
    • Happy Hours
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
  • Financial and Retirement

    • 401(K) With Company Matching
    • Performance Bonus
    • Company Equity
  • Professional Development

    • Promote From Within
    • Access to Online Courses
    • Leadership Training Program
    • Associate or Rotational Training Program
    • Mentor Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)

Company Videos

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