Applied Scientist, Recommendation, E-Commerce Alliance

TikTok Inc.; San Jose (CA); On-site; USD 162,000 - 317,000; Full time

Benefits offered by this job

Medical insurance

401(k) with match

Parental leave

Disability insurance

Life insurance

Wellbeing benefits

Paid holidays

Paid sick days

Paid personal time

Job summary

TikTok Inc. is seeking an Applied Scientist to join the Global E-Commerce Alliance Team.

You will develop and implement innovative machine learning solutions for our recommendation systems in the E-Commerce domain, working with cross-functional teams to influence product decisions. You will leverage ML, NLP, and CV techniques on signals from products, creators, merchants, and transactions; design large online-learning recommendation models serving billions of queries, and communicate results

Qualifications

• PhD or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline.
• Solid experience in machine learning, deep learning, data mining, or AI.
• Proficient in Python, C++, Java; strong problem-solving abilities.
• Deep understanding of recommendation algorithms and personalization.
• Excellent communication to technical and non-technical audiences.

Responsibilities

• Collaborate with cross-functional teams to design, develop, and deploy sophisticated ML algorithms for recommender systems.
• Utilize ML, NLP, and CV techniques on signals from products, creators, merchants, and transactions.
• Design and deploy large-scale recommendation models in online learning to service billions of queries.
• Formulate end-to-end ML models ensuring efficient operation of recommendation systems.
• Analyze large datasets to extract insights and drive data-driven decisions.
• Design experiments, test and iterate to optimize recommendations and user satisfaction.
• Stay updated with advances in ML and recommendation systems and apply them.
• Communicate complex concepts clearly to diverse audiences; uphold data governance and privacy.

Skills

PhD or Master’s degree in Computer Sc.

Machine learning

Python

C++

Java

Recommendation algorithms

Communication

Education

PhD or Master’s in CS/Statistics/Math

Tools

Python

C++

Java

Job description

Responsibilities

The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.

We are actively seeking an Applied Scientist to join our Global E-Commerce Alliance Team. This role is centered on developing and implementing innovative machine learning solutions for our recommendation systems in E-Commerce business. The successful candidate will work closely with cross-functional teams, providing expert insight and influencing critical decision-making across multiple areas of our business.

• Collaborate with cross-functional teams to design, develop, and deploy sophisticated machine learning algorithms to enhance the performance of our recommendation systems.
• Utilize the ML, NLP, and CV techniques to deal with real-world signals generated from products, creators, merchants, e-commerce transactions, and so on.
• Design and deploy the large recommendation model, in the online learning manner, to serve billions of queries and products.
• Formulate end-to-end machine learning models for recommendation systems, ensuring their efficient and effective operation.
• Analyze extensive, complex datasets to extract meaningful insights, identify opportunities for improvement, and facilitate data-driven decision-making.
• Design and execute experiments, testing and iterating on machine learning models to optimize recommendation functions and boost user satisfaction.
• Stay abreast of the latest advances in machine learning and recommendation systems, integrating this knowledge into your work.
• Clearly communicate complex technical concepts, methodologies, and results to a diverse audience, influencing decisions based on your findings.
• Adhere to stringent data governance and privacy protocols, ensuring all user data is handled responsibly and ethically.

Qualifications

Minimum Qualifications

• PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline.
• Solid experience in machine learning, deep learning, data mining, or artificial intelligence.
• Proficient in programming languages such as Python, C++, Java, or similar.
• Deep understanding of recommendation algorithms and personalization systems.
• Excellent problem-solving and analytical skills.
• Strong ability to communicate complex ideas effectively to both technical and non-technical audiences.

Preferred Qualifications

• Experience with reinforcement learning techniques.
• Proven modeling/algorithms competition records on Kaggle or top conferences' challenges.
• Proven programming competition records on ICPC, IOI or USACO.
• Experience working with recommendation systems, computational advertising, search engine, E-commerce recommendation systems.
• Publications in machine learning or related conferences or journals are highly desirable.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $162000 - $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.

Benefits

• Employees have day one access to medical, dental, and vision insurance
• Employees have day one access to a 401(k) savings plan with company match
• Employees have day one access to paid parental leave
• Employees have day one access to short-term disability coverage
• Employees have day one access to long-term disability coverage
• Employees have day one access to life insurance
• Employees have day one access to wellbeing benefits
• Employees have day one access to 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.