EngineerJobs.io
← Back to all jobs
TikTok

Machine Learning Engineer, Recommendation - E-Commerce

TikTok
San Jose, CA $150k - $317k/yr Full time Posted 23d ago
Analytics Big Data Data Analysis Data Analytics Data Pipeline Data Processing Machine Learning Machine Learning Engineer Predictive Analytics Predictive Modeling Recommender Systems
Apply Now

Job Description

TikTok is seeking a Machine Learning Engineer focused on E-Commerce recommendations to join the San Jose onsite team. You will help build scalable optimization, models, and tooling for the TikTok Shop recommendation system. The role offers a competitive annual salary range of USD 150,000 to 316,800 and an onsite location in San Jose, CA, with opportunities to influence how millions of shoppers discover products.

Benefits

  • 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 at start with accruals increasing with tenure

Responsibilities

  • Design and implement optimization strategies for a large-scale e-commerce recommendation pipeline covering tens of millions to hundreds of millions of products or creators’ content
  • Develop long and short term user interest models; analyze large, diverse data to extract signals and efficiently reveal latent user preferences
  • Design, develop, evaluate and iterate predictive models for candidate generation and ranking, including CTR and CR prediction; build real-time data pipelines, perform feature engineering, optimize models and drive innovation
  • Create and maintain supporting and debugging tools as needed

Requirements

  • Bachelor’s degree in Computer Science or a related field
  • 3+ years of experience with solid data structures and algorithm design; proficiency in Python, Java, C++, R, or similar
  • Familiarity with common machine learning, deep learning, causal inference, and operational optimization algorithms, including classification, regression, clustering, plus mathematical programming and heuristic methods
  • Experience with at least one framework such as TensorFlow, PyTorch, or MXNet, including training and deployment aspects and acceleration methods like mixed precision and distributed training
  • Knowledge of big data frameworks; familiarity with MapReduce or Spark is preferred

Technologies

  • Python
  • Java
  • C++
  • R
  • TensorFlow
  • PyTorch
  • MXNet
  • MapReduce
  • Spark

About the Teams

  • E-commerce - Recommendation and Marketing
  • E-commerce - Alliance
  • E-commerce - Search
  • E-commerce - Search Growth

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
  • Handling confidential information including proprietary and trade secret information and access to information technology systems
  • Exercising sound judgment

Similar Jobs