Machine Learning Engineer, Recommendations - USDS E-commerce Alliance

TikTok USDS Joint Venture; San Jose (CA); On-site; USD 136,800 - 359,720; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) savings plan with company match

Paid parental leave

Paid holidays and sick days

Paid Personal Time

Job summary

TikTok USDS Joint Venture in San Jose, California, is looking for a Machine Learning Engineer to join their e-commerce alliance team. This role involves designing algorithms to model real-time interests, optimizing product recommendations, and analyzing user behavior. Qualifications include a Bachelor's degree in Computer Science and experience with relevant machine learning tools like TensorFlow and programming languages such as C++ or Python. Salary ranges from $136,800 to $359,720 annually, along with comprehensive benefits.

Qualifications

• Bachelor's degree or higher in Computer Science or related fields.
• Strong programming and problem-solving ability.
• Familiar with machine learning algorithms such as Collaborative Filtering, Gradient Boosting Trees, Deep Neural Networks.
• Experience in Deep Learning Tools like TensorFlow/PyTorch.
• Experience with C++/Python or equivalent.

Responsibilities

• Build and design large-scale machine learning algorithms to model real-time interests of creators.
• Optimize TikTok's behind-the-scenes systems for product recommendations.
• Analyze behavior of creators and merchants for targeted algorithm strategies.
• Support the rapid development of TikTok's e-commerce business.

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.

• Build and design large‑scale machine learning algorithms to model the real‑time interests of creators to improve conversion efficiency
• Optimize TikTok's massive commodity relationship mining and ranking and recall of creators' product recommendations, and improve the overall GMV of the platform
• Use the large scale of data to deeply analyze the behavior of creators and merchants and build targeted algorithm strategies to empower creators and merchants, improve merchants' monetization efficiency, and boost industrial upgrading
• Support the rapid development of TikTok's e-commerce business, serve millions of merchants, explore more efficient business models, satisfy users with the best shopping experience, and promote healthy ecological development

Minimum Qualifications

• Bachelor's degree or higher in Computer Science or related fields.
• Strong programming and problem‑solving ability.
• This role is open to graduates in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep, GBDT, LTR, Word2vec, DIN, Deep&Wide.
• Experience in Deep Learning Tools such as tensorflow/pytorch.
• Experience with at least one programming language like C++/Python or equivalent.

Preferred Qualifications

• Experience in recommendation system, search engine, online advertising, information retrieval, natural language processing, machine learning, large‑scale data mining, or related fields.
• Publications at KDD, NeurlPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD‑cup etc.

Reasonable Accommodation

USDS 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 to us at https://tinyurl.com/USDS-RA

Job Information

【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $136800 - $359720 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.