16 days
100+ Machine Learning Engineer Intern Jobs - November 2026 - High Salaries
Showing 130 jobs results for
"machine learning engineer intern"
5 days
- 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.
2 days
- Data & ML Engineering: Manage large-scale datasets, including preprocessing and versioning, to ensure high-fidelity and reproducible experiments.
16 days
- Develop scalable systems for real-time or offline learning and inference on large-scale structured and unstructured data.
4 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.
4 days
- Develop scalable systems for real-time or offline learning and inference on large-scale structured and unstructured data.
4 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.
4 days
- Work in a cross-functional team setting to mitigate business risks.
2 days
Machine Learning Engineer Intern (Computer Vision - AI)
- Data & ML Engineering: Manage large-scale datasets, including preprocessing and versioning, to ensure high-fidelity and reproducible experiments.
26 days
- Work with cross-functional teams to protect TikTok globally.
24 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.
25 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.
24 days
- Design and build supporting/debugging tools as needed.
25 days
- Design and build supporting/debugging tools as needed.
25 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.
25 days
- Participate in building a large-scale graph storage and graph learning platform to improve relationship building and governance within the e-commerce community.
25 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.
25 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.
25 days
- Work in a cross-functional team setting to mitigate business risks.
24 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.
25 days
- Work in a cross-functional team setting to mitigate business risks.
24 days
- Participate in building a large-scale graph storage and graph learning platform to improve relationship building and governance within the e-commerce community.
24 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.
22 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.
25 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.
24 days
- 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
- 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