Job Title: Graduate Software Engineer Company: HCLTech Job Category: Machine Learning Roles & Responsibilities: * Help with designing, implementing, and deploying cutting edge Deep Learning models for specific problems such as Semantic Search * Work on building foundation models on proprietary data * Help us build up in house AI capabilities such as setting up MLOps pipeline * Tackle various Data Science and Engineering related challenges * Work on Gen\-AI solutions – Agentic AI ,RAG , MCP Work Location: Singapore, Singapore Availability: Full time

Job Title: Senior Research Engineer II (Robot Learning & Manipulation) Company: Nanyang Technological University Singapore Job Category: Machine Learning Roles & Responsibilities: We are seeking a Senior Research Engineer with a strong robotics learning background to lead research on visuomotor manipulation policies for humanoid robots, with an emphasis on advancing the state of the art while ensuring real\-robot deployment. Key Responsibilities * Lead the research and development of learning\-based visuomotor policies for humanoid robot manipulation, from problem formulation to real\-world validation * Define research directions and technical roadmaps for manipulation capabilities such as grasping, object reorientation, bimanual manipulation, and assembly * Advance techniques including behavior cloning, reinforcement learning, and VLA\-based reasoning, with a focus on novel contributions and publishable outcomes * Develop principled approaches to robustness challenges such as sensor noise, partial observability, contact dynamics, and environment variability * Oversee the research pipeline from data collection strategy and model training to evaluation methodology and deployment * Manage project milestones, deliverables, and timelines; coordinate with collaborators and stakeholders, and report progress to the PI * Supervise and mentor research associates, engineers, and PhD students working on the project * Collaborate with perception, controls, systems, and hardware teams to guide integration of learned policies into the full autonomy stack * Evaluate tradeoffs between learning\-based and classical approaches and make principled architectural and design decisions * Lead the preparation of publications, technical reports, and grant/project documentation Work Location: Singapore, Singapore Availability: Full time

Job Title: Senior Algorithm Engineer / Algorithm Engineer Company: PDR Group Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities: Work Location: Singapore, Singapore Availability: Full time

Job Title: Machine Learning Researcher-Search-Soaring Star Talent Program Company: ByteDance Job Category: Machine Learning Roles & Responsibilities: Responsibilities Team Introduction： The Search Team is primarily responsible for the innovation of search algorithm and architecture research and development (R\&D) for products such as Douyin, Toutiao, and Xigua Video, as well as businesses like E\-commerce and Local Services. We leverage cutting\-edge machine learning technologies for end\-to\-end modeling and continuously push for breakthroughs. We also focus on the construction and performance optimization of distributed and machine learning systems — ranging from memory and disk optimization to innovations in index compression and exploration of recall and ranking algorithms — providing students with ample opportunities to grow and develop themselves. The Main Areas Of Work Include * Exploring Cutting\-Edge NLP Technologies: From basic tasks like word segmentation and Named Entity Recognition (NER) to advanced business functions like text and multimodal pre\-training, query analysis, and fundamental relevance modeling, we apply deep learning models throughout the pipeline where every detail presents a challenge. * Cross\-Modal Matching Technologies: Applying deep learning techniques that combine Computer Vision (CV) and Natural Language Processing (NLP) in search, we aim to achieve powerful semantic understanding and retrieval capabilities for multimodal video search. * Large\-Scale Streaming Machine Learning Technologies: Utilising large\-scale machine learning to address recommendation challenges in search, making the search more personalized and intuitive in understanding user needs. * Architecture for data at the scale of hundreds of billions: Conducting in\-depth research and innovation in all aspects, from large\-scale offline computing and performance and scheduling optimization of distributed systems to building high\-availability, high\-throughput, and low\-latency online services. * Recommendation Technologies: Leveraging ultra\-large\-scale machine learning to build industry\-leading search recommendation systems and continuously explore and innovate in search recommendation technologies. User search intents are becoming increasingly complex. Traditional search engines struggle to accurately interpret the semantics of long/complex sentences and polysemous queries, leading to low satisfaction with search results. The storage\-computation separation architecture of search systems results in low resource utilization. Optimizing resource usage while maintaining performance has become a critical issue. About TikTok TikTok is the leading destination for short\-form mobile video. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us. Work Location: Singapore Availability: Full time

Job Title: AI Engineer Company: Univers Job Category: Machine Learning Roles & Responsibilities: About Univers Univers combines global operating scale, deep industrial intelligence, and recognition from the institutions shaping energy, technology, and sustainability. The platforms built for the last decade were designed to monitor. Univers was built to act — not just report Univers Operates At Global Scale * 1,070 GW\+ Energy assets under AI management * 450M\+ Connected sensors and devices * 800\+ Enterprise customers * Leader Gartner Magic Quadrant Leader Role Overview / The Opportunity Univers Global AI Lab As an AI Engineer at the Global Impact AI Lab, you will design and develop scalable AI systems that bridge advanced AI research and real\-world deployment across enterprise and industrial verticals. This role sits at the intersection of applied AI research, system architecture, and production integration. Operating in both 0→1 and scaling environments, you will build and refine model training and inference pipelines, develop agentic frameworks that coordinate reasoning and workflow execution, and architect AI systems that meet real\-world requirements for latency, throughput, scalability, and runtime efficiency. You will play a critical role in defining how AI systems are engineered so they can move from lab validation to production adoption, ensuring performance, reliability, and maintainability across cloud, hybrid, and edge deployments. This role requires strong systems thinking, engineering discipline, and the ability to translate advanced AI capabilities into deployable, high\-performance systems. Responsibilities/What You Will Do * Partner with Applied AI and AIoT Scientists to transition prototypes into scalable, production\-aligned architectures * Design and implement end\-to\-end training, evaluation, and inference pipelines * Develop and refine agentic frameworks that orchestrate model reasoning, tool integration, and workflow execution * Optimize foundation model inference performance using techniques such as KV caching, batching strategies, quantization, and optimized runtimes (e.g., vLLM or similar frameworks) * Define and architect systems that meet real\-world constraints, including latency, throughput, scalability, and runtime efficiency * Establish best practices for AI infrastructure, including containerization (Docker), orchestration (Kubernetes), and model lifecycle management * Collaborate with product and engineering teams to integrate validated AI capabilities into scalable platform components * Engage with technical stakeholders to ensure system performance and deployment readiness Work Location: Singapore, Singapore Availability: Full time

Job Title: GoTo Financial - Senior Data Scientist - Data Payments Company: GoTo Group Job Category: Machine Learning Roles & Responsibilities: About The Role Develop and optimize personalization and recommendation models to deliver relevant offers, merchants, and experiences to GoPay users. Apply a range of DS techniques —such as collaborative filtering, ranking models, embeddings, and graph\-based methods to improve discovery and user engagement. Work closely with product and engineering teams to design, test, and deploy end\-to\-end ML pipelines in production. Prototype rapidly , run A/B tests, and analyze online/offline metrics (CTR, conversion rate, NDCG, recall@k, etc.) to evaluate model performance and business impact. Leverage large\-scale behavioral and transactional data to uncover insights and guide feature design and personalization strategies. Contribute to continuous improvement by monitoring model performance, identifying data or algorithmic gaps, and iterating based on real\-world feedback. Collaborate cross\-functionally with other data scientists and engineers to share best practices, improve our personalization infrastructure, and align with GoTo’s broader personalization roadmap. What You Will Do * Work as part of a cross\-functional team of engineers, product managers and business analysts to build data science solutions that build customer engagement and help grow GoPay’s customer base and transactions. * Rapidly prototype data science solutions and be involved in product and feature discussions * Analyze large volume data and generate insights which will be actionable. * Own end\-to\-end solutioning, from formulating the technical problem to deployment (along with engineers) of the solution * Participate in internal and external conferences and workshops. * Design and implement algorithms for search, recommendation, or advertising systems to drive discovery and conversion across Goto products. * Build advanced user behaviour models and query/assortment understanding models using LLMs and LLVMs to improve matching accuracy between users, queries, and items across search and recommendation systems. * Collaborate with product, engineering, and business\-facing data science teams to define problems, run experiments, and deploy solutions at scale. About Gojek Gojek is Southeast Asia’s leading on\-demand platform and pioneer of the multi\-service ecosystem with over 2\.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market. About GoTo Financial GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last. Work Location: Singapore, Singapore Availability: Full time

Job Title: Data Scientist Lead Company: Changi Airport Group Job Category: Machine Learning Roles & Responsibilities: We are looking for an experienced Lead to drive the strategic development and delivery of data and AI products that power intelligent decisions across airport operations and business functions. Reporting to the Senior Vice President, Airport Operations Technology \& Corporate IT, this role bridges operations and business needs with technical solutions—providing technical strategies, stakeholder engagement, and team leadership to design and develop reusable, scalable, and cost\-effective data and AI products to analyse complex data sets to identify trends, develop predictive models, and provide actionable insights for our airport operations and business. You will be expected to work as an individual and/or a team with stakeholders from various line of business units to understand operation and business needs and deliver data\-driven solutions. You will collaborate with our existing data engineering team, cloud architect team and technology partners to leverage our current data lakes, data pipelines and data presentation layers to develop capabilities for the organisation. The candidate is expected to work in a fast\-paced environment and participate in multiple projects. Key Responsibilities: * Collaborate with product owners, data engineers, and partners across all product development stages \- from concept and design to prototyping, testing, data curation, deployment, industry scaling, and end\-of\-life. * Collect, process, and analyse large data sets from various sources. * Design, build, and validate machine learning models and statistical algorithms. * Perform exploratory data analysis to uncover insights and trends. * Collaborate with stakeholders to define data requirements and objectives. * Communicate findings and recommendations to non\-technical stakeholders. Work Location: Singapore, Singapore Availability: Full time

Job Title: Apple Media Products - Senior Machine Learning Engineer, Language AI Company: Apple Job Category: Machine Learning Roles & Responsibilities: Our engineers have created some tough acts to follow, and they continue to lead us to innovative breakthroughs. Because they’re driven not by what would be easy, but by what would be amazing. Description * Have a major impact on how Generative AI shapes Apple Services experiences on more than a billion active Apple devices worldwide. * Be part of a team with strong expertise in Large Language Models, Generative AI, Agentic Systems, Natural Language Processing, Software Engineering, and Scalable Systems. * Be responsible for designing, developing, and improving Generative AI and agentic capabilities that other teams across Apple Services build on. * Build reusable services and APIs that let partner teams adopt these capabilities quickly and scale them to new products, content, and markets. * Build agentic systems that reason, plan, use tools, and review and improve their own output. * Define what great output looks like, and build the evaluations that measure it and push quality higher. * Turn new ideas from the Generative AI research community into production capabilities. * Ensure successful deployment of features, code, data, and models in production. * Work in collaboration with other world\-class engineers, researchers, language experts, and partner teams across Apple Services to ensure the quality and performance of features and models. * Support millions of devices globally * On all devices (macOS, iOS, iPadOS, tvOS, watchOS, visionOS, Siri/HomePod) * And dozens of languages (from Arabic to Russian and everything in between) Role Number: 200690917\-3278 Work Location: Singapore, Singapore Availability: Full time

Job Title: GoTo Financial - Lead Data Scientist - LLM Platform (Artificial Intelligence/AI) Company: GoTo Group Job Category: Machine Learning Roles & Responsibilities: About The Role We are building a multilingual Large Language Model (LLM) tailored for Bahasa Indonesia and regional languages. We are looking for a passionate Lead Data Scientist to help shape the future of open and inclusive AI for Indonesia, as well as play a pivotal role in identifying impactful AI use cases. As a Lead Data Scientist working on LLMs, you will design and build high\-quality datasets, advanced model pre\-training, fine\-tuning, and alignment techniques, and collaborate closely with product and engineering teams to ship safe, reliable LLM\-powered features to millions of users. This role offers the opportunity to drive innovation, solve critical business challenges, and shape the future of AI\-driven solutions at GoTo Group. What You Will Do * Work with large\-scale multilingual corpora, including text, audio, and image modalities * Build high\-quality datasets for both continual pretraining,post\-training (SFT, RLHF, DPO), and benchmark evaluation * Contribute to the training and scaling of multilingual LLMs – from continual pretraining to supervised fine\-tuning and alignment. * Implement state of the art methods and research for efficient and scalable operations. * Implement and improve safety alignment and guardrail systems to ensure responsible and culturally appropriate model behavior. * Collaborate closely with business/product, engineers to deploy production\-gradeLLM\-powered solutions. * Stay current with advancements in AI technologies. Frontier models, training methodologies etc About The Team The AI\-LLM team is on a mission to build the most capable and culturally aligned multilingual LLMs for Indonesia. At GoTo Group, the AI\-LLM team is at the forefront of developing state\-of\-the\-art language models. We are building foundational AI models that understand and generate Bahasa Indonesia and regional languages – empowering more inclusive technology. We work on everything from continual pretraining of large\-scale LLMs to alignment and safety fine\-tuning, using both structured and unstructured data from diverse sources. Our projects span core model development, dataset curation, safety systems, and real\-world deployment in consumer and enterprise applications. Our team brings together members with diverse technical and cultural backgrounds, bringing expertise in machine learning and local languages. About Gojek Gojek is Southeast Asia’s leading on\-demand platform and pioneer of the multi\-service ecosystem with over 2\.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market. About GoTo Financial GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last. Work Location: Singapore, Singapore Availability: Full time

Job Title: Machine Learning Engineer / Data Scientist Company: INFOWIZ PTE LTD Job Category: Machine Learning Roles & Responsibilities: About the Role This role sits at the intersection of machine learning, big data engineering, and data science. You will work with large\-scale datasets to develop predictive models, recommendation solutions, and intelligent systems that support product performance, user engagement, and business decision\-making. You will be involved throughout the ML lifecycle—from data exploration and feature engineering to model development, evaluation, deployment, and continuous optimisation. Key Responsibilities * Develop, productionise and maintain machine learning models for recommendation, personalisation, user behaviour, prediction, classification and other data\-driven applications. * Build scalable ML pipelines covering data preparation, feature engineering, model training, evaluation, deployment and monitoring. * Design and optimise batch and/or real\-time model inference solutions for reliability, scalability, latency and production performance. * Work with large volumes of structured and unstructured data to develop effective machine learning solutions. * Collaborate closely with Data Scientists and Data Engineers to transform ML prototypes and data pipelines into reliable production systems. * Monitor model and system performance, identify degradation or operational issues, and continuously improve deployed solutions. * Contribute to ML engineering practices, including testing, versioning, CI/CD, reproducibility and model lifecycle management. * Evaluate new developments in machine learning, MLOps and AI and apply relevant technologies to business and product use cases. Work Location: Singapore, Singapore Availability: Full time