Senior Machine Learning E-commerce Feed Recommendation

Location:

Seattle

Employment Type:

Regular

Job Code: A120104

• Participate in building large‑scale (10M–100M) live‑streaming and short video e‑commerce recommendation algorithms and systems on Tik Tok.
• Design, develop, evaluate and iterate on predictive models for candidate generation and ranking (e.g., CTR and CR prediction), including building real‑time data pipelines, feature engineering, model optimization and innovation.
• Build long‑ and short‑term user interest models, analyze and extract relevant information from large amounts of data and design algorithms to explore users' latent interests efficiently.
• Design and develop various strategies using ML technology to improve user shopping experience and resolve e‑commerce business challenges such as the cold‑start problem and traffic allocation.
• Design and build supporting/debugging tools as needed.

• Bachelor's degree or higher in Computer Science or related fields.
• Strong programming and problem‑solving ability.
• 3 years of experience in applied machine learning, familiar with algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide & Deep, etc.
• Experience in deep‑learning tools such as Tensor Flow or PyTorch.
• Experience with at least one programming language like C++/Python or equivalent.

• 3 years of experience in recommendation systems, online advertising, information retrieval, NLP, machine learning, large‑scale data mining, or related fields.
• Publications at KDD, NeurIPS,(Use the "Apply for this Job" box below). SIGIR, WSDM, ICML, IJCAI, AAAI, Recsys or experience in data‑mining/machine‑learning competitions such as Kaggle, KDD Cup, etc.

The base salary range for this position in the selected city is $202,160 - $368,220 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. 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.

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, and wellbeing benefits.

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).

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: