Machine Learning Engineer, E-commerce Governance Algorithms

Machine Learning Engineer, E-commerce Governance Algorithms Location: Seattle Employment Type: Regular Job Code: J3HCL Responsibilities Support the following businesses with the most advanced AI technology Combat any kinds of risks/violations issues in E-commerce scenarios Build a safe E-commerce ecosystem and improve platform service capabilities Work with a team to design and implement algorithms to detect and control risks/frauds in contents/products/sellers/creators Collaborate with strategy team, product managers, policy team and ops team to help define products and drive initiatives from engineering viewpoints Qualifications Bachelor's degree in Computer Science or related technical field 3+ working experience in one of the following fields: machine learning, NLP and computer vision Experience with software development in at least one of the following programming languages: C++, Python, Go, Java Experience in anti-fraud/anti-spam/platform‑integrity or related fields is a plus Strong sense of responsibility and good at communication and teamwork Job Information The base salary range for this position in Seattle is $148,200 - $300,960 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 Day one access to medical, dental, and vision insurance 401(k) savings plan with company match Paid parental leave Short-term and long-term disability coverage Life insurance Wellbeing benefits 10 paid holidays per year 10 paid sick days per year 17 days of paid personal time (prorated on hire with increasing accruals by tenure) Equal Employment Opportunity / Fair Chance 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. #J-18808-Ljbffr Ellis Technologies, Inc.