- Develop scalable systems for real-time or offline learning and inference on large-scale structured and unstructured data.
3 days
89 Associate Engineer Jobs - October 2026 - High Salaries - Page 3
Showing 89 jobs results for
"associate engineer"
- Understand content security strategy and apply ML algorithms to improve content audit process;
3 days
- Work in a cross-functional team setting to mitigate business risks.
3 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.
3 days
- Track quality performance, identify root causes, and drive improvements in production processes and execution.
2 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.
2 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.
2 days
- Participate in building a large-scale graph storage and graph learning platform to improve relationship building and governance within the e-commerce community.
2 days
- Explore the integration of LLMs / VLMs with recommendation systems to develop adaptive and evolving intelligent recommenders.
2 days
- Design and build supporting/debugging tools as needed.
2 days
- Develop scalable systems for real-time or offline learning and inference on large-scale structured and unstructured data.
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
- Analyze e-commerce data-related business problems and abstract them into data-related requirements that are then implemented to help resolve key business problems.
25 days
- Understand content security strategy and apply ML algorithms to improve content audit process;
25 days
- Develop reliability platforms and engineering tools for the advertising systems, including monitoring, alerting SLO management, risk governance, and resource management.
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.
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.
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.
24 days
- Design and build supporting/debugging tools as needed.
24 days
- Work in a cross-functional team setting to mitigate business risks.
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.
24 days
- Explore the integration of LLMs / VLMs with recommendation systems to develop adaptive and evolving intelligent recommenders.
24 days
- Track quality performance, identify root causes, and drive improvements in production processes and execution.
2 days
- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software
2 days
- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software
24 days
- Track quality performance, identify root causes, and drive improvements in production processes and execution.
2 days