- Retail Tea Ambassadors: Share Good Tea, Create Good Moments
30+ days
42 Junior Machine Learning Engineer Internship - November 2026 - Start Apply Now
Showing 42 jobs results for
"junior machine learning engineer"
- Develop scalable systems for real-time or offline learning and inference on large-scale structured and unstructured data.
2 days
- Develop scalable systems for real-time or offline learning and inference on large-scale structured and unstructured data.
2 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.
2 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.
2 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!
8 days
- Work closely with CS leaders, ML engineers, product managers, and other stakeholders to translate reviewer feedback into prioritized experiments and system improvements.
9 days
9 days
10 days
Applied AI Engineer Intern
- Work within established AI-native engineering workflows, collaborating with AI agents across implementation, testing, debugging, and documentation while validating every output.
11 days
- Work closely with CS leaders, ML engineers, product managers, and other stakeholders to translate reviewer feedback into prioritized experiments and system improvements.
11 days
Internship Program
- Maintain and update client information and records within internal database systems.
17 days
- Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
17 days
- Process structured and unstructured data, and build foundational data infrastructure and knowledge bases for AI applications.
20 days
21 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.
23 days
- Design and build supporting/debugging tools as needed.
23 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.
23 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.
23 days
- Participate in building a large-scale graph storage and graph learning platform to improve relationship building and governance within the e-commerce community.
23 days
- Currently pursuing an Undergraduate/Master in computer science, artificial intelligence, data science or related discipline.
23 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.
23 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.
23 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.
23 days
24 days
Data Scientist Intern (AI Engineer Intern)
- Contribute to the project's foundational knowledge by documenting the shared technical understanding and implementation details aligned with high-level business requirements and project goals.
24 days
AI Engineer Intern
- Contribute to the project's foundational knowledge by documenting the shared technical understanding and implementation details aligned with high-level business requirements and project goals.
24 days
29 days
Internship Program
- Professional Development: Gain access to Foodpanda's e-learning tools and internal training modules to enhance your leadership and project management capabilities.
30+ days