1,600+ Machine Learning Jobs - October 2026 - Urgent Hiring

Showing 1,622 jobs results for "machine learning"
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Geylang

Posted
17 days ago

Singapore

  • Architect, build and deploy LLM powered agent systems (chatbots, copilots, agents) that are safe, fast, and cost-efficient.
  • Own the whole product development life cycle: build → prototype → evaluate → harden → monitor.
  • Build retrieval-augmented generation (RAG) pipelines (indexing, chunking, embeddings, reranking, grounding). ...
Posted
a month ago

Singapore

  • Develop product-facing tools for browsing environments, inspecting trajectories, reviewing task quality, debugging failures, and understanding model behavior
  • Build vendor-facing workflows that make it easy for external partners to create, submit, test, and iterate on RL environments and training data
  • Create dashboards and observability tools that surface environment quality, eval results, data collection progress, grader issues, reward signal problems, and pipeline health ...
Posted
18 days ago

Singapore

  • Lead Foundation Model / LLM architecture and technology roadmap
  • Drive pre-training, post-training, SFT, RLHF/RLAIF, and model optimisation
  • Lead large-scale distributed training and GPU infrastructure ...
Posted
17 days ago

Singapore

  • 01 Harness Design & Ownership - Design and own the agent harness framework — the full layer between model and user, including connectors, execution environments, orchestration scaffolding, and evaluation pipelines. This is a greenfield build: you define the architecture and set the standards.
  • 02 Systems & Connector Integration - Build and maintain integrations to internal systems (e.g. Slack, Hubspot, Google Drive, codebases), managing access permissions and ensuring integrations do not decay over time. Own the reliability of the agent’s ability to act in our environment.
  • 03 Evaluation & Performance Benchmarking - Develop evaluation pipelines and benchmarking systems to measure agent performance, reliability, and safety in both production and simulated environments. Define what “the agent is genuinely helping more people in more scenarios” means — and own the metrics that prove it. ...
Posted
a month ago

Singapore

  • Harness Design & Ownership - Design and own the agent harness framework — the full layer between model and user, including connectors, execution environments, orchestration scaffolding, and evaluation pipelines. This is a greenfield build: you define the architecture and set the standards.
  • Systems & Connector Integration - Build and maintain integrations to internal systems (e.g. Slack, Hubspot, Google Drive, codebases), managing access permissions and ensuring integrations do not decay over time. Own the reliability of the agent’s ability to act in our environment.
  • Evaluation & Performance Benchmarking - Develop evaluation pipelines and benchmarking systems to measure agent performance, reliability, and safety in both production and simulated environments. Define what “the agent is genuinely helping more people in more scenarios” means — and own the metrics that prove it. ...
Posted
a month ago

Singapore

  • Lead, motivate, and train a team of SEO specialists.
  • Conduct performance reviews and set objectives in conjunction with the Digital Marketing Manager
  • Oversee onboarding and training of new team members ...
Posted
23 days ago

KL City

  • Drive Southeast Asia growth in a leading industrial materials business
  • Build key accounts across SEA markets
  • Reporting to the Overseas Sales Director, the Sales Engineer will be responsible for driving business development activities, managing customer relationships, and identifying growth opportunities within the Thailand or Vietnam market. ...
Posted
23 days ago

Singapore

  • Design and train sophisticated machine learning policies for dynamic, real-world control systems.
  • Conduct hands-on experiments to systematically debug and close the gap between simulated environments and physical reality.
  • Build and maintain high-speed data pipelines and simulation environments that enable rapid iteration. ...
Posted
a month ago
  • Handle data analytics processes using various solutions
  • Manage master data, including creation, updates and deletion / ETL
  • Create and clean data sources, transform and mine data ...
Posted
a month ago

Singapore

  • Engage in forward-looking exploration and research of foundational AI technologies, including but not limited to large model pre-training and post-training paradigm innovation exploration, architecture design for multimodal understanding and generative models, next-generation foundational architectures (e.g., Transformer-next), and acceleration of large-scale model training and inference.
  • Conduct technical insights into the AI/large model ecosystem across the Asia-Pacific region, including academia and research institutions; analysing industry trends and competitor strategies; identifying key technological directions in AI; and formulating competitive technology roadmaps.
  • Aligning with AI requirement in intelligent driving and intelligent cockpit domains, including embodied intelligence/autonomous driving (e.g., VLA, large models, world models, end-to-end systems, etc.), speech and semantic technologies, multimodal foundation models, and AI agents. Promote the deployment and adoption of new AI technologies through collaborative projects and investments to create value for product competitiveness. ...
Posted
24 days ago

Singapore

  • Relevant certifications in AI/ML security
Posted
a month ago

KL City

  • Lead a team of young and bright MLOps Engineers in conducting research, design, and prototype MLOps practices, tools, and frameworks to expedite the machine learning lifecycle at MoneyLion.
  • Work in collaboration with Data Scientists, Data Engineers, and AI/ML Engineering teams to enhance cross-team workflows and reduce time to deployment.
  • Improve the level of automation in the development and deployment processes of machine learning. ...
Posted
25 days ago

Singapore

  • Responsible for designing, building, and operating scalable data ingestion, transformation, and serving capabilities across a modern hybrid cloud data platform, ensuring solutions are reliable, secure, reusable, and aligned to enterprise architecture and governance standards.
  • Develop and optimise batch and streaming pipelines using cloud tools such as Databricks and Kafka, applying sound engineering practices to ensure performance, resilience, and maintainability.
  • Contribute to the delivery of reliable, secure, and high-quality data for analytics, reporting, and machine learning use cases ...
Posted
a month ago

Singapore

  • As a Data Acquisition Engineer (AI Systems), you will work at the intersection of software engineering, browser automation, distributed systems, and AI. You will help design and build platforms that collect, process, and deliver structured data from a wide range of public sources while continuously improving their reliability and resilience.
  • You will work on systems that discover, collect, extract, process, and deliver data from a wide variety of online sources. Some sources provide APIs, while others require browser automation, custom extraction strategies, or AI-assisted workflows.
  • The challenges are rarely straightforward. Websites evolve, interfaces change and automation workflows break. Building reliable data acquisition systems require curiosity, persistence, creativity, and strong engineering fundamentals. ...
Posted
a month ago

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
25 days ago
WFH

Singapore

  • Join us in building Freeflo—an AI-powered booking and payment agent that works inside WhatsApp.
  • What you’ll do
Posted
25 days ago

Singapore

  • Build global product catalog and content understanding systems, modeling products, videos, images, merchants, and brands with structured and semantic representations.
  • Develop algorithms for identical product matching, product/merchant/brand deduplication, and cross-lingual product aggregation, addressing multimodal matching, real-time aggregation, multi-granularity clustering, and semantic alignment.
  • Build pricing algorithms for price comparison, product pricing, price monitoring, and anomaly detection, supporting subsidy programs, price competitiveness analysis, and supply optimization. ...
Posted
25 days ago

Singapore

  • Build AI-powered workflows, assistants, agents and automation systems.
  • Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations and internal tools.
  • Work with product and engineering teams to turn manual processes into scalable AI-native systems. ...
Posted
a month ago

Singapore

  • Design and build data architectures specifically optimised for AI agent consumption: structured data stores accessible via tool-calling APIs, vector knowledge bases for semantic retrieval, graph databases for relationship-based reasoning, and hybrid retrieval systems that combine keyword, semantic, and structured query approaches.
  • Build and maintain the data layer for Temasek's RAG (Retrieval-Augmented Generation) pipelines: document ingestion workflows, chunking strategy design, embedding generation and refresh pipelines, metadata tagging for filtered retrieval, and vector index management across multiple knowledge domains (company research, market intelligence, portfolio data, regulatory filings).
  • Design the ontology and schema standards for AI-accessible data assets — ensuring that data structures are consistent, well-documented, and interpretable by AI agents without requiring ad-hoc parsing or custom logic in every product that consumes them. ...
Posted
a month ago
  • Build AI-powered workflows, assistants, agents and automation systems.
  • Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations and internal tools.
  • Work with product and engineering teams to turn manual processes into scalable AI-native systems. ...
Posted
a month ago

KL City

  • Job Summary:
  • We are looking for an AI Infra Engineer to support the development and operation of AI infrastructure platforms. The ideal candidate will have a strong background in Backend Engineering, Machine Learning Engineering, or MLOps, with hands-on experience in AI model training/inference deployment, cloud infrastructure, and GPU computing environments.
  • This role will work closely with algorithm teams to enable efficient utilization of AI computing resources, optimize AI workloads, and ensure reliable deployment of AI training and inference services. ...
Posted
a month ago

Singapore

  • Build and optimize cross-scenario shared Foundation Models to enable unified modeling and efficient inference.
  • Advance the event-sequence-driven generative recommendation paradigm, integrating multimodal understanding and generative capabilities.
  • Apply LLM technologies across retrieval, ranking, and re-ranking stages; participate in model training, inference optimization, and system co-design. ...
Posted
a month ago

Tanjong Pagar

Posted
a month ago

Singapore

  • TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​
  • Why Join Us
  • Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​ ...
Posted
a month ago

Singapore

  • Designing and developing AI and LLM system architecture that can process and analyse large volumes of unstructured data
  • Managing our AI and LLM systems and integrating them with our existing data science, analytics and on-premise cloud ecosystems
  • Deploying AI-powered chatbots and virtual assistantsDepending on your level of experience, you will be helping to: ...
Posted
a month ago