- Responsible for the development of deep learning and operations research models and related intelligent systems for the supply chain and logistics of the global E-Commerce business.
24 days
100+ Machine Learning Engineer Internship - November 2026 - Start Apply Now - Page 2
Showing 109 jobs results for
"machine learning engineer"
- Vertical Search Team: Build a full-stack search engine serving billions of global users, covering vertical scenarios such as photo-text search, user search, live search and music search. The scope also encompasses AI-powered search for standalone apps including Drama and Lemon8. We leverage LLM, NLP, and multimodal understanding technologies to iteratively enhance search quality and system performance.
30+ days
- Work with cross-functional teams to protect TikTok globally.
30+ days
- Develop scalable systems for real-time or offline learning and inference on large-scale structured and unstructured data.
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.
30+ days
- Analyze e-commerce data-related business problems and abstract them into data-related requirements that are then implemented to help resolve key business problems.
30+ days
- Design and build supporting/debugging tools as needed.
30+ days
- Develop scalable systems for real-time or offline learning and inference on large-scale structured and unstructured data.
30+ days
- Participate in building a large-scale graph storage and graph learning platform to improve relationship building and governance within the e-commerce community.
30+ days
- Participate in the exploration and development of personalized AI search, with a focus on harness engineering, post-training optimization, and rubric-based automated evaluation, to build next-generation search experiences that better understand users, reason over intent, and make intelligent decisions.
30+ days
- Explore and develop a risk-control Agentic AI architecture, including the design and optimization of Skills, long-chain task orchestration, and multi-agent collaborative problem-solving, to improve the efficiency of risk identification and incident resolution.
30+ days
- Next-Gen Marketing Tech: Go beyond traditional discriminative uplift prediction. Research and productionize cutting-edge causal inference and AI technologies — including Uplift Modeling, E2E Modeling, RL, LLMs, and AI Agents — to directly address user conversion and repeat purchase behavior.
30+ days
- Work in a cross-functional team setting to mitigate business risks.
30+ days
- Participate in building a large-scale graph storage and graph learning platform to improve relationship building and governance within the e-commerce community.
30+ days
- Design and build supporting/debugging tools as needed.
30+ days
- Work in a cross-functional team setting to mitigate business risks.
30+ days
- Next-Gen Marketing Tech: Go beyond traditional discriminative uplift prediction. Research and productionize cutting-edge causal inference and AI technologies — including Uplift Modeling, E2E Modeling, RL, LLMs, and AI Agents — to directly address user conversion and repeat purchase behavior.
30+ days
- Currently pursuing an Undergraduate/Master in computer science, artificial intelligence, data science or related discipline.
30+ days
Machine Learning Engineer Intern (TikTok Shop Global E-Commerce, Risk Control) - 2026 Start (PhD)
- Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.
30+ days
- Responsible for the development of deep learning and operations research models and related intelligent systems for the supply chain and logistics of the global E-Commerce business.
30+ days
- Responsible for the development of deep learning and operations research models and related intelligent systems for the supply chain and logistics of the global E-Commerce business.
30+ days
23 days
- Lead the enablement of new machine learning frameworks and GPU platforms, driving large-scale production deployment while maintaining model quality and business performance;
24 days
- Lead the enablement of new machine learning frameworks and GPU platforms, driving large-scale production deployment while maintaining model quality and business performance;
30+ days
- Help test, iterate, and document internal AI tools and platforms
30+ days
- Design and integrate tools, Skills, and MCP connectors (tools-as-APIs), plus skill / tool search for large tool inventories.
2 days
- Problem Solving for Governance Applications: Address challenges such as long text/sequence modeling, few-shot learning, content moderation, violation detection, and policy recommendation using large models and multimodal approaches.
4 days
- Design and integrate tools, Skills, and MCP connectors (tools-as-APIs), plus skill / tool search for large tool inventories.
4 days
- Problem Solving for Governance Applications: Address challenges such as long text/sequence modeling, few-shot learning, content moderation, violation detection, and policy recommendation using large models and multimodal approaches.
4 days
Internship Program
- Our Internship Program offers you a meaningful, hands-on learning experience across diverse divisions where your ideas matter, and your work creates real impact!
10 days