- Retail Tea Ambassadors: Share Good Tea, Create Good Moments
30+ days
100+ Machine Learning Engineer Internship - November 2026 - Start Apply Now
Showing 109 jobs results for
"machine learning engineer"
Internship Machine Learning Engineer
- Facial Liveness & Match: Test and improve facial liveness detection and face matching across different devices, lighting conditions and skin tones. Analyse performance and report accuracy and error rates using MediaPipe and face recognition evaluation techniques.
3 days
5 days
16 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
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 in a cross-functional team setting to mitigate business risks.
2 days
- Currently pursuing an Undergraduate/Master in computer science, artificial intelligence, data science or related discipline.
2 days
- Work with cross-functional teams to protect TikTok globally.
24 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
- 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
- Design and build supporting/debugging tools as needed.
25 days
- Work in a cross-functional team setting to mitigate business risks.
24 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
- 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
- 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
- Currently pursuing an Undergraduate/Master in computer science, artificial intelligence, data science or related discipline.
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.
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