Senior Machine Learning Engineer, Search - Local Services Team
Job Description
Responsibilities
- Support the local video service business by boosting user discovery of life services such as hospitality, dining, and leisure.
- Enhance the search experience for local services and drive ecosystem growth.
- Apply large-scale machine learning techniques in search and recommendation across billions of users to improve shopping experiences and increase 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. Build personalized behavior models for relevance, and develop CTR and CVR predictions. Implement vector recall and value blending.
Requirements
- Strong analytical and problem-solving abilities.
- Solid foundation in machine learning and deep learning, with experience in NLP (natural language processing).
- Excellent coding skills with strong knowledge of data structures and algorithms.
- Proficiency with Linux development environments.
- Prior experience with search, recommendation, or advertising algorithms.
- Familiarity with local life services and e-commerce domains.
Technologies
- Linux
Benefits
- Day one 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 upon hire with tenure-based accruals.
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:
- Interacting with and occasionally having unsupervised contact with internal or external clients and/or colleagues.
- Handling and managing confidential information, including proprietary and trade secret data and access to information technology systems.
- Exercising sound judgment.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out at https://tinyurl.com/RA-request
Pay Transparency
- The base salary range for this position in Seattle is USD 202,160 – 368,220 per year.
- Compensation may vary based on qualifications, skills, competencies, experience, and location; base pay is one part of the total package, which may include discretionary bonuses/incentives and restricted stock units.
- Benefits are available day one and include medical, dental, and vision insurance, a 401(k) with company match, paid parental leave, disability coverage, life insurance, wellbeing benefits, plus paid time off: 10 holidays, 10 sick days, and 17 paid personal days prorated on hire with tenure.
- The company reserves the right to modify or change benefits programs at any time, with or without notice.