Senior Machine Learning Engineer - Search Recommendation, E-commerce

TikTok Inc.; San Jose (CA); On-site; USD 218,000 - 388,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with company match

Parental leave

Disability coverage

Life insurance

Wellbeing benefits

Paid holidays

Paid sick days

Paid Personal Time

Job summary

TikTok Inc. is seeking an experienced Machine Learning professional to strengthen our search recommendation engine for TikTok E-commerce and TikTok Mall. You will work on hyperscale ML models, NLP interactions, and cutting-edge recommendation technology to improve user search and purchase cognition.

The role involves mentoring teammates and advancing end-to-end ranking systems to deliver the best shopping experience for over a billion users worldwide.

Qualifications

• 5+ years of work experience in machine learning.
• Experience in modern Recommendation, Search, Advertising, E-commerce.
• Bachelor or advanced degree in computer science or related technical discipline.
• Excellent coding skills; solid knowledge of data structures and algorithms.
• Strong analytical, modeling, and problem-solving abilities.

Responsibilities

• Elevate search recommendation services and models for TikTok E-commerce, driving higher search traffic.
• Optimize the recommender system from recall to final-stage ranking within the end-to-end workflow.
• Advance short text and general recommendation tech, focusing on NLP interactions with recommendations.
• Provide guidance and mentorship to fellow teammates.

Skills

Machine learning

Product sense

User experience

E-commerce knowledge

Recommendation systems

Search

Education

Bachelor's degree in CS or related

Job description

Responsibilities

About the Team: The Search Growth E-commerce 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'll Do:

• Elevate search recommendation services and models for TikTok E-commerce, driving heightened e-commerce search traffic on both TikTok and TikTok Mall, while enhancing user search and purchasing cognition.
• Optimize the recommender system, focusing on hyperscale machine learning models. This involves diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow.
• Push the boundaries of short text and general recommendation technology, with a specific emphasis on the interaction between recommendation and NLP technology.
• Provide guidance and mentorship to fellow teammates.

Qualifications

Minimum Qualifications:

• 5+ years of work experience in machine learning. Good product sense with a focus on user experience and E-commerce business.
• Domain knowledge or working experience in any of these areas: modern Recommendation, Search, Advertisement, E-commerce.
• 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 $218400 - $387600 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:

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