Top Machine Learning Jobs in Singapore

Define and execute the product roadmap for AI-driven on-chain monitoring tools. Collaborate with cross-functional teams, analyze market and customer feedback, prioritize features, ensure timely delivery, and communicate progress to stakeholders to enhance blockchain security offerings.

Design and deliver ML tools that automate animation tasks (retargeting, cleanup, foot-locking, rig workflows). Partner with animators and tech artists, evaluate motion quality and time savings, and integrate production-ready motion generation and control models within runtime constraints.

Design, build, and evolve internal ML platform capabilities, self-service workflows, and automation to improve developer productivity, reliability, observability, and deployment safety. Troubleshoot model-serving and GPU workloads, define SLOs/SLIs, run resilience testing, integrate AI-assisted engineering tools, and lead incident response and operational improvements while establishing governance and guardrails for AI-native workflows.

Lead development and optimization of semiconductor fabrication processes, create and review process recipes and technical data, establish SOPs and FMEAs, integrate equipment/material capabilities, drive continuous improvement, mentor engineers, collaborate cross-functionally and with vendors, and contribute to patents and publications while ensuring safety and compliance.

Designs, investigates, and optimizes infrastructure for production AI workloads across GPU environments, on-premises datacenters, private infrastructure, and public clouds. Diagnoses Linux, GPU, container, networking, storage, and hardware issues; develops benchmarking, diagnostic, deployment, and validation tooling; improves inference performance, GPU utilization, reliability, and scalability; and translates technical findings into product capabilities in collaboration with engineering and product teams.

Design, build, and maintain backend APIs and services for a real-time supply chain visibility platform. Own system architecture, real-time event ingestion, data normalization, ML integration, monitoring, and production debugging while collaborating with Product and Data Science to deliver scalable, high-availability features.

Enterprise sales role selling FICO's optimization and decisioning platform into financial services. Build C-level relationships, develop pipelines and joint business cases, lead complex deal structuring and negotiation, coordinate pre-sales and professional services, manage forecasts and territory targets, and travel to client meetings (25-50%).

Three-month onsite internship developing and evaluating video-generation machine learning systems. Projects may involve reward modeling, inference efficiency, multimodal data pipelines, distributed training infrastructure, large-scale experimentation, and evaluation tooling. Interns own a defined research or engineering project with senior mentorship and may contribute to conference publications or product-adjacent work.

Technical co-founder (CTO) to define architecture, validate scientific hypotheses, build hands-on PoC/MVPs, lead the technical team, manage IP strategy, and communicate technology to investors and partners while scaling the product.

Lead and execute the regional data, analytics, and AI strategy while overseeing implementation, collaboration, team development, and governance compliance.

As a Senior Impact Analyst, you will analyze sustainability challenges, design and manage interventions, and work closely with smallholder communities, emphasizing rigorous research and collaboration.

Support multi-asset investment strategy through research across macro, equities, fixed income and alternatives; monitor macro and market developments; assist with model maintenance, data gathering and scenario analysis; produce investment notes, outlooks and client materials; collaborate to design, build and deploy agentic AI tools, document architectures and best practices, and liaise with technology stakeholders.

Lead research in passive RF sensing and LEO/NTN satellite waveform detection, characterization, and parameter estimation. Develop theoretical waveform estimation methods, validate via SDR experiments, supervise students, publish findings, support proposals, and handle administrative duties.

Conduct research on passive detection, classification and geolocation of unknown ground terminals using LEO NTN signals. Develop theory and experiments, validate methods on real data, supervise trainees, publish findings, and support proposals and administrative tasks.

Design and deliver production-grade enterprise AI architecture blueprints and open-source Quickstarts. Build integrations, benchmarking/evaluation harnesses, and secure, compliant deployment patterns across cloud-native and heterogeneous hardware environments.

The role involves designing and developing tools in Python for trading and risk management, maintaining data pipelines, and collaborating with teams to enhance trading strategies using advanced techniques.

The role involves developing AI-driven banking solutions, writing efficient code, integrating systems, and ensuring software quality through testing and reviews.

Join the Quantitative Trading desk to develop and deploy quantitative strategies, monitor trading and risk, implement signals and datasets in the execution platform, support the full trading cycle from risk calibration to execution, and communicate results and methodology to traders and senior management.

As a Senior AI Engineer, you will utilize AI engineering and delivery expertise to drive transformative projects for clients while building relationships and expanding your knowledge.

Lead and architect a low-latency, high-frequency cryptocurrency trading platform. Manage and mentor a distributed global engineering team, collaborate with traders and stakeholders, optimize network and systems performance, and build historical data and simulation systems to support trading strategies.

A structured graduate programme delivering technical training, mentorship, certifications and hands-on client project experience across cloud, data, AI/ML, application development, automation, infrastructure and cybersecurity to prepare graduates for specialised technology career paths.

Support the development team by testing and documenting simple AI features, preparing prompts and datasets, performing basic SQL data checks, troubleshooting applications, and learning development workflows and tools under guidance.

Lead AI product adoption and technical go-to-market strategy across Asia Pacific and Japan. Advise customers and executives on data, analytics, machine learning, and generative AI architectures; deliver presentations, demos, and competitive pitches; support field engineering and sales teams; develop enablement materials; influence product direction; lead specialist teams; and represent Databricks through conferences, webinars, and published content.

Build, deploy, and maintain predictive models and GenAI-powered applications; analyze large datasets to extract insights; collaborate with stakeholders to design solutions and visualizations; architect scalable reusable AI services and stay current with machine learning and generative AI advances.

As a Research Engineer, you'll work on building and improving a scalable search engine, focusing on crawling, parsing, ML performance, and retrieval algorithms.