Drive continuous ranking model iteration with measurable, attributable impact on user retention and trading conversion
Build a cross-domain intent framework spanning content consumption, feature usage, and search — shifting the system from tracking what users clicked to understanding what users are trying to do
Chart and execute the technical evolution from Transformer-based sequential ranking toward generative recommendation, including sequence generation and preference alignment
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Algorithm Development: Design and develop innovative recommendation algorithms tailored to various e-commerce scenarios to enhance user experience and conversion rates.
Model Optimization: Continuously iterate and optimize existing models to improve efficiency, accuracy, and scalability.
Data Analysis: Conduct in-depth analysis of user behavior data to uncover user preferences and improve model effectiveness.
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Gradient is building the world’s first fully AI runtime—a sovereign, peer-powered infrastructure where intelligence is hosted, served, and owned by the people. The age of Centralized Intelligence is ending. What comes next is open, agentic, and alive at the edge.
We’ve recently completed our $10M seed funding round, led by Pantera Capital and Multicoin Capital, with participation from HSG (formerly Sequoia Capital China) and other distinguished partners. This milestone is further supported by leading angel investors and advisors from spaces across AI, crypto, and beyond.
Gradient Ascent Program: Your Gateway to Innovation
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Drive core technology development for large language model code direction, continuously optimizing code comprehension, reasoning, and generation capabilities.
Focus on improving code comprehension, reasoning, and generation capabilities in real-world production codebases, improving TikTok service code performance and privacy compliance.
Explore Code Agent capabilities suitable for actual business production environments, and improve TikTok R&D efficiency.
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Drive core technology development for large language model code direction, continuously optimizing code comprehension, reasoning, and generation capabilities.
Focus on improving code comprehension, reasoning, and generation capabilities in real-world production codebases, improving TikTok service code performance and privacy compliance.
Explore Code Agent capabilities suitable for actual business production environments, and improve TikTok R&D efficiency.
Drive core technology development for large language model code direction, continuously optimizing code comprehension, reasoning, and generation capabilities.
Focus on improving code comprehension, reasoning, and generation capabilities in real-world production codebases, improving TikTok service code performance and privacy compliance.
Explore Code Agent capabilities suitable for actual business production environments, and improve TikTok R&D efficiency.
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