Senior Machine Learning Engineer, Search - Local Services Team

About the Role

Key Responsibilities

• Support the local video service business to enhance user discovery of life services such as hospitality, dining, and leisure.
• Improve the search experience in local services and promote ecosystem growth.
• Utilize large-scale machine learning techniques in search and recommendation scenarios with billions of users to: Improve user shopping experiences & Enhance conversion efficiency.
• Design and implement local services search algorithms across the full stack, including: Query analysis, relevance, recall, coarse ranking, fine ranking, and blended ranking.
• Develop personalized behavior modeling for relevance computation.
• Implement CTR (Click-Through Rate) prediction and CVR (Conversion Rate) prediction.
• Work on vector recall and value blending techniques.

Requirements

• Excellent analytical and problem-solving skills.
• Strong foundation in machine learning and deep learning, with experience in NLP (Natural Language Processing).
• Exceptional coding skills with solid knowledge of data structures and algorithms.
• Proficiency in Linux development environments.

Nice to Have

• Prior experience in search, recommendation, or advertisement algorithms.
• Familiarity with local life services and e-commerce businesses.

Qualifications

• Educational background or formal qualifications are not explicitly specified in the description.

Benefits & Perks

• The base salary range for this position in the selected city is $177,688 - $341,734 annually.
• Compensation may vary depending on qualifications, skills, competencies, experience, and location.
• Additional discretionary bonuses/incentives, and restricted stock units may be available.
• 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.
• 10 paid holidays per year, 10 paid sick days per year, and 17 days of Paid Personal Time (prorated upon hire).