- PhD degree required, with top artificial intelligence conference papers (NeurIPS, ICML, ICLR, CVPR, ACL, OSDI, NSDI, SC and SigMOD, etc.) in machine learning (ML), computer vision (CV), natural language processing (NLP) and other fields.
10 days
99 Ai Intern Jobs - October 2026 - High Salaries
Showing 99 jobs results for
"ai intern"
- PhD degree required, with top artificial intelligence conference papers (NeurIPS, ICML, ICLR, CVPR, ACL, OSDI, NSDI, SC and SigMOD, etc.) in machine learning (ML), computer vision (CV), natural language processing (NLP) and other fields.
30+ days
- LLMs / generative AI training or adaptation (pretrain, SFT, RL, etc.)
8 days
- LLMs / generative AI training or adaptation (pretrain, SFT, RL, etc.)
30+ days
28 days
- Undergraduate student in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
7 days
25 days
- Provide regular project updates and improve the overall project experience in our business domain
28 days
- Provide regular project updates and improve the overall project experience in our business domain
7 days
- PHD with top AI conference papers in ML/CV/NLP are required;
9 days
- Architecture for data at the scale of hundreds of billions: Conducting in-depth research and innovation in all aspects, from large-scale offline computing and performance and scheduling optimization of distributed systems to building high-availability, high-throughput, and low-latency online services.
8 days
- PHD with top AI conference papers in ML/CV/NLP are required;
30+ days
- Architecture for data at the scale of hundreds of billions: Conducting in-depth research and innovation in all aspects, from large-scale offline computing and performance and scheduling optimization of distributed systems to building high-availability, high-throughput, and low-latency online services.
29 days
- Conduct root cause analysis on false positives, false negatives and edge cases, and propose data- and strategy-driven improvements.
21 days
- Conduct root cause analysis on false positives, false negatives and edge cases, and propose data- and strategy-driven improvements.
Today
- Assist in advancing program optimizations such as performance monitoring, exception management, and cache preloading. Participate in the full lifecycle from data collection to solution implementation, and develop a deep understanding of the engineering systems behind large-scale applications.
30+ days
- Stay up to date with the latest advancements in Large Language Models (LLMs) and AIGC technologies, explore innovative quality and engineering efficiency solutions for software testing, and continuously refine them through practical application.
9 days
- Stay up to date with the latest advancements in Large Language Models (LLMs) and AIGC technologies, explore innovative quality and engineering efficiency solutions for software testing, and continuously refine them through practical application.
30+ days
- Design and integrate tools, Skills, and MCP connectors (tools-as-APIs), plus skill / tool search for large tool inventories.
8 days
- Design and integrate tools, Skills, and MCP connectors (tools-as-APIs), plus skill / tool search for large tool inventories.
30+ days
- Undergraduate student in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
29 days
- Design and integrate tools, Skills, and MCP connectors (tools-as-APIs), plus skill / tool search for large tool inventories.
8 days
- Design and integrate tools, Skills, and MCP connectors (tools-as-APIs), plus skill / tool search for large tool inventories.
30+ days
- Develop a deep understanding of the business logic and merchant needs within e-commerce vertical domains, enabling Agents to accurately understand and execute highly specialized and complex business requirements, and truly solve real-world problems in merchant operations;
9 days
- Collaborate with or lead the development of broadcaster supply growth strategies and product solutions for global operations.
9 days
- Conduct incident response and traceability analysis for traffic security incidents in the e-commerce field, sort out attack paths and defense vulnerabilities, and output standardized incident analysis reports and optimization suggestions.
8 days
- Conduct incident response and traceability analysis for traffic security incidents in the e-commerce field, sort out attack paths and defense vulnerabilities, and output standardized incident analysis reports and optimization suggestions.
30+ days
- Develop a deep understanding of the business logic and merchant needs within e-commerce vertical domains, enabling Agents to accurately understand and execute highly specialized and complex business requirements, and truly solve real-world problems in merchant operations;
30+ days
- Collaborate closely with design, engineering, and operations teams to ensure smooth product development and high-quality delivery;
10 days