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16 Optimization Jobs - October 2026 - Urgent Hiring
Showing 16 jobs results for
"optimization"
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Undisclosed
Singapore
- Model Quality & Workflow Design: Design, manage, and optimize end-to-end workflows to improve machine model performance in content policy enforcement — including signal detection, rejection accuracy, and leakage reduction. Develop training data pipelines, QA processes, and performance tracking systems aligned to model improvement goals.
- Adversarial Testing & Risk Identification: Conduct structured adversarial testing on AI models, features, and content policies to surface vulnerabilities, edge cases, and emerging risk trends. Explore model behaviour across contexts and user journeys to identify failure modes not captured in standard evaluations.
- Root Cause Analysis & Error Optimization: Conduct structured root cause analysis (RCA) on model errors — including overkills, leakages, and misclassification — and translate findings into actionable model improvement recommendations. Partner with Algo and product teams to close root causes through memory insertion, threshold adjustments, rewrite rules, or policy iteration. ...
Posted
a month ago
Undisclosed
KL City
- Model Quality & Workflow Design: Design, manage, and optimize end-to-end workflows to improve machine model performance in content policy enforcement — including signal detection, rejection accuracy, and leakage reduction. Develop training data pipelines, QA processes, and performance tracking systems aligned to model improvement goals.
- Adversarial Testing & Risk Identification: Conduct structured adversarial testing on AI models, features, and content policies to surface vulnerabilities, edge cases, and emerging risk trends. Explore model behaviour across contexts and user journeys to identify failure modes not captured in standard evaluations.
- Root Cause Analysis & Error Optimization: Conduct structured root cause analysis (RCA) on model errors — including overkills, leakages, and misclassification — and translate findings into actionable model improvement recommendations. Partner with Algo and product teams to close root causes through memory insertion, threshold adjustments, rewrite rules, or policy iteration. ...
Posted
21 days ago
Undisclosed
Singapore
- Responsible for the requirement analysis, product planning, product design, and project management related to anti-cheat account handling capabilities for TikTok's global scenarios.
- Leverage internal and external product and intelligent technology capabilities to optimize the handling process and capabilities, improving the effectiveness and efficiency of risky account handling, and taking responsibility for the rationality of risk control actions.
- Understand relevant company business and strategy, collaborate with requirements from various business units, effectively balance internal needs and online performance; establish efficient communication and collaboration mechanisms to ensure business awareness of risk control work. ...
Posted
a month ago
Undisclosed
Singapore
- Responsible for the requirement analysis, product planning, product design, and project management related to anti-cheat account handling capabilities for TikTok's global scenarios.
- Leverage internal and external product and intelligent technology capabilities to optimize the handling process and capabilities, improving the effectiveness and efficiency of risky account handling, and taking responsibility for the rationality of risk control actions.
- Understand relevant company business and strategy, collaborate with requirements from various business units, effectively balance internal needs and online performance; establish efficient communication and collaboration mechanisms to ensure business awareness of risk control work. ...
Posted
15 days ago
Undisclosed
Singapore
- (1) Lifelong Behavior Modeling and Model Scale-up
- (2) End-to-End Generative Recommendation
- Deeply integrate LLM and recommendation technologies; develop, deploy, and optimize LLM training and inference techniques for recommendation foundation models; and solve large-model engineering challenges in recommendation scenarios. ...
Posted
a month ago
Undisclosed
Singapore
- (1) Lifelong Behavior Modeling and Model Scale-up
- (2) End-to-End Generative Recommendation
- Deeply integrate LLM and recommendation technologies; develop, deploy, and optimize LLM training and inference techniques for recommendation foundation models; and solve large-model engineering challenges in recommendation scenarios. ...
Posted
13 days ago
Undisclosed
Singapore
- Research and implement LLM-based recommendation foundation model training and inference optimization technologies for e-commerce scenarios
- Build model optimization toolchains including quantization, pruning, and distillation for deep learning frameworks
- Design and implement distributed inference serving architectures supporting large-scale LLM deployment for recommendation use cases ...
Posted
a month ago
Undisclosed
Singapore
- Research and implement LLM-based recommendation foundation model training and inference optimization technologies for e-commerce scenarios
- Build model optimization toolchains including quantization, pruning, and distillation for deep learning frameworks
- Design and implement distributed inference serving architectures supporting large-scale LLM deployment for recommendation use cases ...
Posted
14 days ago
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