Machine Learning Engineer Graduate (E-Commerce Governance) - 2027 Start (PhD)

Location: Seattle Employment Type: Regular Job Code:

A118616A

Share this listing: Responsibilities The Governance and Experience Algorithm team was established in September 2020 and its main job is to support the following businesses with the most advanced AI technology：- Combat any kinds of risks/violations issues in E-commerce scenarios.- Build an E-commerce ecosystem and improve platform service capabilitiesWe are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. - Responsible for identifying algorithms for risk/violation/low-quality issues in e-commerce scenarios such as products, shopping cart short videos, and live streaming with products.

• Responsible for mining and identifying algorithms to detect fraudulent behaviors and identify risky, violated, or low-quality merchants and creators.
• Responsible for optimizing algorithms for large-scale brand libraries, products, and content deduplication/clustering.
• Responsible for 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.
• Responsible for exploring reinforcement learning and operational research algorithms in intelligent dispatching and intelligent audit scheduling to improve audit quality and efficiency. Qualifications

Minimum Qualifications - Individuals who are completing or have recently completed a PhD degree in Software Development, Computer Science, Computer Engineering or a related discipline.

• 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 Preferred Qualifications - Good team spirit and strong communication skills
• Experience in platform governance/audit/risk control/content security or overseas internet/e-commerce business Job Information

The base salary range for this position in the selected city is $153900 - $300960 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.

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