Machine Learning Engineer - E-commerce Recommendation

$184,300 - $337,250/Yr

Tiktok - Seattle, WA

Full-time - Entry Level

Seattle, WA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The position involves developing and optimizing large-scale e-commerce recommendation algorithms and systems at TikTok. The role focuses on enhancing user engagement and satisfaction through innovative machine learning techniques, particularly in the context of e-commerce live-streaming and short video recommendations. The successful candidate will work within a team of applied machine learning engineers and data scientists to create impactful solutions that connect customers with quality products on TikTok Shop.

Responsibilities

• Participate in building large-scale e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, and short video recommendations.
• 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, develop, evaluate, and iterate on predictive models for candidate generation and ranking, including Click Through Rate and Conversion Rate prediction.
• Build real-time data pipelines, perform feature engineering, and optimize models for innovation.
• Design and build supporting/debugging tools as needed.

Requirements

• Bachelor's degree or higher in Computer Science or related fields.
• Strong programming and problem-solving ability.
• Experience in applied machine learning, familiar with algorithms such as Collaborative Filtering, Matrix Factorization, and Deep Neural Networks.
• Experience with Deep Learning Tools such as TensorFlow or PyTorch.
• Experience with at least one programming language like C++ or Python.

Nice-to-haves

• Experience in recommendation systems, online advertising, information retrieval, or natural language processing.
• Publications at major conferences such as KDD, NeurIPS, or ICML.
• Experience in data mining/machine learning competitions such as Kaggle.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% for dependents, and a Health Savings Account (HSA) with company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) and 10 paid sick days per year.
• 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through EAP and Lyra.
• 401K company match, gym and cellphone service reimbursements.