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700+ Machine Learning Engineer Jobs - August 2026 - High Salaries
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"machine learning engineer"
不要错过任何 Machine Learning Engineer 的新工作机会
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Beijing Foreign Enterprise Management Consultants Co.,Ltd.
Undisclosed
Singapore
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields; ideally from a leading research group in local universities, or 5+ years of relevant industry experience with strong knowledge of Asia-Pacific domain.
- Proficient in deep learning, with hands-on experience in training and inference of large-scale models, including LLMs, VLMs, VLAs, and World Models preferred.
- Strong programming skills, proficient in C++ and Python. Candidates with awards in competitive programming contests (e.g., ACM, NOI, IOI) are highly preferred. ...
Posted
a month ago
Undisclosed
Singapore
- Responsible for mining and tagging global user profiles to understand users' behaviors.
- Apply big location data to provide customized solutions with higher efficiency, better results, and lower costs for TikTok's commercialization, local services, e-commerce, and other businesses to continuously enhance industry competitiveness.
- Final year or recent graduate with a background in computer science, statistics, or other relevant, machine-learning-heavy majors. ...
Posted
a month ago
Undisclosed
Singapore
- Translate vague business problems into scoped AI solutions — weighing feasibility, cost, and risk
- Run client workstreams: gather requirements, manage stakeholder relationships, and present findings that drive decisions
- Apply classical ML (forecasting, anomaly detection, gradient boosting) alongside GenAI where it is the right tool ...
Posted
a month ago
Undisclosed
Singapore
- Establish AI governance, safety guardrails, observability and evaluation frameworks
- Evaluate and deploy frontier and open-source AI models
- Work closely with cybersecurity experts to automate and enhance security operations ...
Posted
a month ago
Undisclosed
KL City
- Partner with teams to land CMC for Agent skills inside live agent products.
- Implement A2A / cross-agent protocol adapters so a skill published once is discoverable and callable everywhere agents live.
- Feed integration learnings back into the SDK — every painful integration becomes a docs page or a helper API. ...
Posted
a month ago
Undisclosed
Singapore
- Infrastructure & Performance Optimization: Manage and optimize GPU/accelerator infrastructure (on cloud platforms like AWS, Azure, GCP or on-prem NVIDIA clusters) to support high-performance model training and inference. Drive token efficiency, latency reduction, and cost optimization in AI pipelines (through techniques like model quantization, batching, and caching).
- Client Project Delivery: Lead day-to-day project execution for AI engagements across multiple industries (e.g. finance, healthcare, manufacturing, public sector). Collaborate with client stakeholders to gather requirements and define technical solutions. Ensure on-time delivery of high-quality results that meet business objectives.
- Technical Leadership & Collaboration: Provide hands-on technical leadership to a cross-functional delivery team (data engineers, ML engineers, developers). Perform code reviews, troubleshoot complex issues, and enforce best practices in software engineering, MLOps, and DevSecOps. Coordinate with data scientists, cloud architects, and industry SMEs to integrate AI solutions within broader client architectures. ...
Posted
a month ago
Undisclosed
Singapore
- Operate with an early-startup level of ownership inside a frontier-model company. This role combines the breadth of an early-stage CTO with the infrastructure and scale of a deep-learning lab.
- Wear multiple hats, set a high technical bar, and define what Applied ML at Cohere becomes. Few roles in the industry combine application, research, customer-facing engineering, and core-model influence as directly as this one.
- Contribute to the design and delivery of custom LLM solutions for enterprise customers. ...
Posted
a month ago
Undisclosed
Hong Kong
- Establish security and governance requirements for AI in a regulated trading environment
- Partner with Security on AI-specific controls (data access, audit, threat detection)
- Evaluate and adopt infrastructure for agent deployment and observability ...
Posted
17 days ago
Undisclosed
Kowloon City
- 掌握並對比中股、港股及美股相關股票的估值邏輯差異（如流動性溢價、增長預期差異），在不同市場的週期錯位中尋找套利與長期配置機會。
- 建立嚴謹且動態的財務預測模型。將複雜的科技趨勢轉化為具體的營收拆解與獲利預測，定期於投研會議中提出具備逆向思維（Contrarian view）的個股買賣評級與目標價。
- 具備 10-15 年以上買方（Buy-side）、賣方（Sell-side）機構的全球半導體或科技硬體股票研究經驗；或具備大型半導體/科技企業資深戰略發展、產品經理經驗且成功轉型為投資專業人士者。 ...
Posted
17 days ago
Undisclosed
Hong Kong
- Chatbots and conversational systems
- Retrieval-Augmented Generation (RAG) applications
- Knowledge assistants and document intelligence solutions ...
Posted
17 days ago
Undisclosed
Singapore
- -建立并完善面向欧美市场的舆情监测机制，针对数据隐私、模型输出、合规与伦理等潜在风险制定预案，并能在舆情发生时快速响应
- - 以数据为导向评估与优化传播效果，持续跟踪媒体曝光质量、品牌声量、用户讨论度及核心传播指标，推动传播策略迭代升级
- 任职资格 ...
Posted
a month ago
Undisclosed
Seletar
- Own the asset register for all lab equipment, managing maintenance, calibration, firmware versioning, and end-of-life tracking
- Perform first-line diagnostics and maintenance, covering batteries, cables, connectors, mechanical repairs, and component replacement
- Perform first-line robotics technical work, including ground control setup (QGroundControl, Mission Planner), Ardupilot/PX4 configuration, vendor SDKs (Deep Robotics, Unitree, AgileX), firmware updates, and ROS/ROS2 troubleshooting ...
Posted
a month ago
Undisclosed
- Develop and maintain RAG pipelines, including chunking, embeddings, vector search, reranking, and retrieval grounding.
- Integrate and deploy agentic AI workflows using tools such as LangGraph, CrewAI, or N8N for autonomous recruitment processes.
- Leverage Supabase, PostgreSQL, and pgvector for hybrid keyword and semantic search functionalities. ...
Posted
a month ago
SGD8,000 - SGD12,000 每月
Central
- Drive product direction through prototyping and iteration — you define what to build and why
- Validate designs with data and user feedback, collaborating closely with the agent backend team
- Your daily workflow is 100% AI-driven — AI isn't an assistive tool, it's your default way of working ...
Posted
a month ago
SGD8,000 - SGD12,000 每月
Central
- Design multi-agent orchestration — task decomposition, concurrent execution, and result aggregation
- Design the architecture and standards for observability and evaluation systems — defining how to measure and improve agent reliability
- Set technical standards, contribute to product strategy and technical roadmap ...
Posted
a month ago
Undisclosed
KL City
- Develop model and prompt versioning, telemetry, model monitoring and usage reporting.
- Implement prompt, tool and model evaluation suites to test answer quality, safety, tenancy and regression risk.
- Build guardrails that prevent models from choosing unauthorised client context, accessing raw data outside approved contracts, or exposing sensitive values in outputs. ...
Posted
a month ago
Undisclosed
- Technical Leadership & Solution Ownership: Lead the technical direction of AI initiatives by driving architecture decisions, establishing best practices, mentoring team members, and guiding the end-to-end delivery of scalable AI solutions.
- Collaboration & Delivery: Work with Product Owner, Developers, Quality Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation.
- AI/ML Literacy: A strong grasp of LLM fundamentals, including tokens, temperature, top-p, and context windows. ...
Posted
a month ago
Undisclosed
WFH
Singapore
- Improve prompt design, safety and response quality through testing and iteration
- Define evaluation approaches, metrics and benchmarks for model and system performance
- Integrate AI capabilities into existing platforms with data engineers, platform teams and stakeholders ...
Posted
a month ago
Undisclosed
Malaysia
- LangGraph experience within a production setting - as you'll need to hit the ground running. LangChain/Langfuse is helpful but not strictly required.
- Cloud experience - AWS is heavily preferred, especially if you're familiar with a broad range of domains including serverless, networking, managing CI/CD and deployments, etc.
- Otherwise, experience on large-scale scalable systems on other platforms/providers are also considerable (eg. experience with building scalable, event-driven systems on other cloud providers like Azure/GCP, etc.) ...
Posted
a month ago
Undisclosed
Singapore
- Develop reusable data science workflows, feature engineering logic, model training pipelines and evaluation frameworks to improve scalability and repeatability.
- Work with data engineering and technology teams to ensure data pipelines, model inputs and analytical datasets are reliable, well-structured and fit for production use.
- Develop and evaluate Generative AI solutions, including prompt-based workflows, retrieval-augmented generation, embedding pipelines, and other LLM-enabled applications. ...
Posted
a month ago
Undisclosed
Singapore
- Collaborate across cross-functional business lines to translate ambiguous functional criteria into operational features.
- Evaluate emerging technical frameworks and tools to maintain market competitiveness and enhance existing operations.
- Academic background in computer science, software engineering, or a closely related technical discipline. ...
Posted
a month ago
Undisclosed
KL City
- Oversee AI Model Development: Guide design, development, and deployment of scalable AI models, solutions, and data pipelines.
- Cross-Functional Integration: Collaborate with operations, engineering, commercial, and other teams to integrate AI capabilities into day‑to‑day tools and processes.
- Benchmark External Advancements: Monitor and evaluate industry AI trends, bringing leading practices back into the organization. ...
Posted
a month ago
Undisclosed
KL City
- Lead the evaluation, fine-tuning, and integration of open-source Large Language Models (LLMs) like Llama series & other LLMs.
- Develop and own key components of the automation framework, including PowerShell and Python runbook executors.
- Develop and train machine learning models for tasks such as anomaly detection, predictive maintenance, and capacity planning in IT environments. ...
Posted
a month ago
Undisclosed
Malaysia
- Develop multi-agent systems based on the Agent-to-Agent principle, fostering autonomous collaboration and decision-making.
- Collaborate with cross-functional teams to translate business requirements into robust, scalable AI solutions.
- Ensure robustness, security, and compliance across all AI-driven applications. ...
Posted
a month ago
[LTA-TRO] SNR- EXECUTIVE AI-ML ENGINEER, INTELLIGENT TPT SYSTEMS DEVELOPMENT [LTA-TRO] SNR- EXECUTIVE AI-ML ENGINEER, INTELLIGENT TPT SYSTEMS DEVELOPMENT
Land Transport Authority (LTA) Singapore
Undisclosed
Singapore
- Collaborating closely with cross-functional teams — including data scientists, software developers, domain experts, and business stakeholders — to drive successful project outcomes.
- Engaging users regularly through an iterative development process to refine features and ensure applications meet operational needs.
- Evaluating and proposing emerging technologies, establishing best practices, and contributing to knowledge sharing across the team. ...
Posted
a month ago
Undisclosed
台灣
- From data automation to AI applications, you will be responsible for designing, implementing, and optimizing AI agents / MCP that leverage LLMs for natural language understanding, autonomous decision-making, multi-step task execution and tool design. This role involves close collaboration with product teams, data engineers, data analysts, and software engineers to build scalable, intelligent systems that interact seamlessly with users and internal / external tools.
- [Responsibility]
- Design, develop, and fine-tune AI agents / MCP tools for complex multi-turn conversations and autonomous workflows. Integrate AI agents with external APIs, databases, and knowledge bases to enhance contextual understanding and functionality. Build and maintain pipelines for training, evaluating, and deploying AI agents-related in production. Collaborate with cross-functional teams to translate business requirements into AI-driven solutions. Monitor, debug, and optimize AI agent performance, ensuring reliability, scalability, and safety. Stay updated on the latest research and advances in LLMs, AI agent architectures, and related technologies. ...
Posted
21 days ago
TWD40,000 - TWD40,000 每月
台灣
- 進階 AI 檢索系統與向量工程： 針對企業內部專有文獻、研究報告與海量日誌，設計並優化檢索系統。建置高效能的向量資料庫 (如 Milvus, Qdrant)，實作混合檢索、語意路由與重排序策略，為 Co-researcher 提供精準的知識檢索底層支援。
- 地端大語言模型 (LLM) 部署與推論優化： 針對無法連網的高資安地端環境，負責開源大語言模型的評估與私有化部署。利用 vLLM 等推論引擎進行模型量化與效能調優，確保 Co-researcher 在邊緣或地端伺服器上能維持極低的延遲與高吞吐量。
- AI 與 ML 資訊安全防護實作： 將資安思維融入 AI 與 ML 模型開發的每個環節。實作企業級資料脫敏、個人機密資訊 (PII) 過濾機制，防範模型毒化 (Data Poisoning) 與提示詞注入 (Prompt Injection)，確保 AI 代理的所有研究行為與資料存取絕對符合企業權限規範 (RBAC) 與零信任架構。 ...
Posted
21 days ago
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