Machine Learning Engineer, Recommendations - USDS

Tiktok • Seattle, WA

439d • $137,750 - $237,500 • Hybrid

About The Position

The position involves working as part of the U.S. Data Security (USDS) team at TikTok, focusing on developing large-scale recommendation algorithms and systems to enhance user engagement and satisfaction. The role emphasizes the application of machine learning techniques to solve real-world problems, contributing to the safety and governance of user data on the TikTok platform.

Requirements

• Bachelor's degree or higher in Computer Science or related fields.
• Strong programming and problem-solving ability.
• Open to PhD New Grads or MS Grads with 1-3 years of experience in applied machine learning, familiar with algorithms such as Collaborative Filtering, Matrix Factorization, and Deep Neural Networks.
• Experience in Deep Learning Tools such as TensorFlow/PyTorch.
• Experience with at least one programming language like C++/Python or equivalent.

Nice To Haves

• Experience in recommendation systems, online advertising, information retrieval, natural language processing, machine learning, or large-scale data mining.
• Publications at KDD, NeurIPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup.

Responsibilities

• Participate in building large-scale 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 building real-time data pipelines, feature engineering, model optimization, and innovation.
• Design and build supporting/debugging tools as needed.

Benefits

• Medical, dental, and vision insurance from day one.
• 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 upon hire with increasing accruals by tenure).

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
• Education Level: Bachelor's degree