Machine Learning Engineer, Search Recommendation

TikTok Inc.; San Jose (CA); On-site; USD 128,000 - 317,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid parental leave

Disability coverage

Life insurance

Wellbeing benefits

Paid time off

Job summary

TikTok Inc. is seeking a skilled machine learning engineer to advance its search recommendation system for TikTok and TikTok Mall. You will work on hyperscale ML models spanning recall to ranking, improving user search experience and traffic.

The role emphasizes short text and multi-modal recommendations, with strong emphasis on NLP and practical product impact. Ideal candidates have 3+ years in ML, solid CS fundamentals, and strong coding ability.

Qualifications

• 3+ years of work experience in machine learning.
• Bachelor or advanced degree in computer science or a related technical discipline.
• Excellent coding skills.
• Solid knowledge of data structure and algorithms.
• Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.

Responsibilities

• Enhance search recommendation services and models for TikTok, driving increased search traffic on TikTok and TikTok Mall, while also improving user's search understanding.
• Optimize the recommender system based on hyperscale machine learning models, covering recall/first-stage ranking to final-stage ranking in the end-to-end workflow.
• Explore the upper limits of short text recommendation and general recommendation technology, focusing on interaction between recommendation and NLP.

Skills

Machine learning

Product sense

Coding skills

Data structures & algorithms

Analytical thinking

Education

Bachelor's or advanced degree in computer science

Job description

Responsibilities

About the Team: The Search Growth team is at the forefront of developing the search recommendation algorithm for TikTok's rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active TikTok users worldwide. Our mission: to create a world where \"there are no hard-to-sell, overpriced products\".

Responsibilities - What You'Il Do

• Enhance search recommendation services and models for TikTok, driving increased search traffic on TikTok and TikTok Mall, while also improving user's search understanding.


• Optimize the recommender system based on hyperscale machine learning models, covering a range of tasks from recall/first-stage ranking to final-stage ranking in the end-to-end workflow.


• Explore the upper limits of short text recommendation and general recommendation technology, with a focus on the interaction between recommendation and NLP technology.

Qualifications

Minimum Qualifications

• 3+ years of work experience in machine learning. Good product sense with a focus on user experience.


• Bachelor or advanced degree in computer science or a related technical discipline.


• Excellent coding skills. Solid knowledge of data structure and algorithms.


• Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $128000 - $316800 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.

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.