Machine Learning Engineer, E-Commerce Governance

- data construction, instruction fine-tuning, CoT, alignment, and other work for large models in the e-commerce domain, aiming for ultimate effect optimization in the e-commerce domain.
- exploring reinforcement learning and operational research algorithms in intelligent dispatching and intelligent audit scheduling to improve audit quality and efficiency.

What You Will Do:
- Optimize various basic algorithms such as NLP, vision, multimodal, search, graph, LLM, etc. to provide support for governance business, explore cutting-edge technologies, and apply them to e-commerce business scenarios.
- Streamline the optimization and iteration process for computer vision models in e-commerce settings, including fine-grained classification of product images, product object recognition, product subject recognition, feature extraction, logo detection, brand recognition, etc.
- Optimize video classification, multimodal content mining, and multimodal content understanding of e-commerce short videos and live broadcasts, and optimize the e-commerce short video shopping experience.
- Optimize the risk identification model related to text content in e-commerce scenarios, such as product copywriting, picture text, and voice descriptions.
- Optimize the risk mining algorithm for comments, reports, and other public opinion content related to products/short videos/live broadcasts, and improve the platform governance effect.
- Responsible for the research of large-scale multimodal (vision, speech, natural language, etc.) algorithms and their implementation in e-commerce scenarios.
- Extract extensive data from various entities, such as content in e-commerce live broadcasts, products, merchants, and influencers.

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.

Qualifications

Minimum Qualifications:
- Bachelor's degree or above in computer science or related field
- Solid coding skills, ability to develop in a Linux environment, proficient in Python, Go, or C++
- Solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience
- Familiar with 1-2 areas in natural language processing, computer vision, multimodal, graph algorithms, search algorithms, text/data mining, and LLM
- Excellent analytical and problem-solving skills, passionate about challenging problems
- Good team spirit and strong communication skills
- Experience in platform governance/audit/risk control/content security or overseas internet/e-commerce business is preferred

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $145000 - $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.