Machine Learning Engineer Graduate; Local Services Search PhD

We are looking for talented individuals to join our team in 2026. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

• 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. Include personalized behavior modeling for relevance computation. Tasks include CTR (click‑through rate) prediction, CVR (conversion rate) prediction, vector recall and value blending.

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

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

The base salary range for this position in the selected city is $156,000 – $316,800 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.

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. Criminal history may be considered for withdrawal of conditional offer of employment for duties such as interacting with clients, handling confidential information, or exercising sound judgment.