Senior Machine Learning Engineer, Search - Local Services Team

Senior Machine Learning Engineer, Search - Local Services Team

Location:

Seattle

Employment Type:

Regular

Job Code: A225281

• 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 and 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; perform personalized behavior modeling for relevance computation; build CTR and CVR prediction models; and develop vector recall and value blending techniques.

• Excellent analytical and problem‑solving skills.
• Strong foundation in machine learning and deep learning with experience in NLP.
• Exceptional coding skills with solid knowledge of data structures and algorithms.
• Proficiency in Linux development environments.

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

The base salary range for this position in Seattle is $202,160 - $368,220 annually. Compensation may vary outside of this range depending on qualifications, skills, competencies, experience, and location. Base pay is one part of the total compensation package, which may also include discretionary bonuses/incentives and restricted stock units.

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; and other benefits. 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).

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. The company believes criminal history may have a direct, adverse, and negative relationship on certain job duties, potentially resulting in withdrawal of a conditional offer of employment for those duties:

• Interacting and occasionally having unsupervised contact with internal or external clients and/or colleagues.
• Appropriately handling and managing confidential information, including proprietary and trade secret information and access to information technology systems.
• Exercising sound judgment.