About the team TikTok's Data Cycling Center Team focuses on building content, understanding, and providing data-driven solutions for both internal stakeholders and tools for external users. We focus on both delivering human understanding and direct content understanding helping solve large impact problems from that understanding. About the role The Applied Scientist will assume a hands-on and multi-faceted role within our international organization, navigating through complex data labeling processes and extensive stakeholder management to comprehend and address diverse needs. The Applied Scientist will be pivotal in amplifying the efficacy of our data labeling processes, driving both strategic and operational advancements within the team. Responsibilities - Advanced Project Management: Direct and coordinate projects, orchestrating efforts across a large, interdisciplinary team of researchers, product managers, and data labelers, ensuring timely and efficient execution of tasks. - Clarification and Simplification of Product Requirements: Diligently comprehend product needs, drive clear communication, and decompose technical tasks into more manageable units, ensuring a smooth execution path. - Machine Learning Model Development: Conceptualize and develop advanced machine learning models aimed at optimizing the output of labelers, focusing on enhancing both the speed and quality of the labeling process. - Collaborative Experimentation and Documentation: Work in tandem with various teams to formulate meticulous experiment plans, documenting results with utmost precision, and patiently addressing inquiries from both technical and non-technical stakeholders.
Minimum Qualifications - Bachelor's/Master's degree in Computer Science, Computer Engineering, or other relevant majors. - Five years of experience building complex, large-scale NLP (Natural Language Processing) systems - Communication Mastery: Demonstrates exceptional written and spoken communication prowess, with a proven ability to effectively interface with business stakeholders and international teams, conveying complex, data-driven narratives clearly and compellingly. - Strategic Interpersonal Skills: Displays formidable interpersonal skills, embodying an ability to seize new opportunities, be able to set product directions strategically, ignite innovative ideas, and marshal support to bring products from conceptualization to realization. - Practical ML Solutions Development: Boasts significant, hands-on experience in crafting Machine Learning solutions that address real-world business challenges, paired with proficiency in ML fundamentals such as diverse algorithm paradigms (including supervised, unsupervised, and reinforcement learning), evaluation methodologies, optimization techniques, and sampling strategies. - Python Proficiency: Possesses intermediate-to-advanced skills in Python programming, showcasing the ability to develop and implement robust data science solutions. - SQL and Data Modeling Expertise: Demonstrates intermediate-to-advanced proficiency in SQL, databases, and general data modeling, ensuring structured, efficient, and scalable data management, and leveraging data to inform strategic decision-making. Preferred qualifications - PhD in Computer Science, Computer Engineering, or other relevant majors - 4 years of experience working cross-functionally to successfully deliver complex projects
Read Full Description