Machine Learning Engineer at WeRide | Singapore

Join our innovative team as a Principal Machine Learning Engineer at bjakcareer, where you will lead cutting-edge projects and play a pivotal role in shaping our AI strategies. You will be responsible for designing and implementing advanced machine learning models, collaborating with cross-functional teams, and driving data-driven decision making.

About UsPhysicsX is a pioneering deep-tech company rooted in numerical physics and the high-speed world of Formula One. Our mission is to revolutionize hardware innovation by achieving the agility of software development.We are developing an advanced AI-driven simulation software suite tailored for engineering and manufacturing across high-tech industries. By leveraging high-fidelity, multi-physics simulations through AI inference throughout the entire engineering lifecycle, PhysicsX unveils unprecedented opportunities for optimization and automation in design, manufacturing, and operational processes—empowering engineers to redefine the limits of what is possible. Our clientele includes industry leaders in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive sectors.Who We're SeekingAs a Principal Machine Learning Engineer within our Delivery team, you will be an accomplished problem solver and technical strategist focused on delivering impactful solutions. You possess the ability to comprehend sophisticated engineering principles across diverse industries, spearhead technical projects, and collaborate closely with customers, often working alongside them on-site to integrate cutting-edge AI models into practical and effective tools.You have successfully deployed ML systems end-to-end at scale: designing, constructing, and validating reliable, scalable ML data pipelines. You are proficient in exploring and manipulating 3D point-clouds and mesh data to facilitate geometry-aware modeling. Your expertise includes selecting the most suitable libraries, frameworks, and tools, enabling you to make pragmatic product choices that set the Delivery team up for success. At the intersection of data science and software engineering, you translate R&D findings and project outcomes into reusable libraries, tools, and products.With a minimum of 3 years of industry experience (post-Master's or PhD) in a commercial setting (not research-focused), you are poised to not only execute but also lead and mentor your peers. You are genuinely enthusiastic about taking ownership of complex projects and guiding teams toward success while continuously enhancing the systems and solutions you work on to ensure they remain practical, impactful, and aligned with our customers' evolving needs.This RoleIn the role of Principal Machine Learning Engineer, you will work collaboratively with our Data Scientists, Simulation Engineers, and customers to identify and articulate the engineering and physics challenges we aim to address. You will iterate with clients and leverage your influence to drive decisions regarding reliable deployments that yield measurable outcomes.Your responsibilities will include:Leading the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimization & control) into customer production environments.Effectively communicating results and technical insights to stakeholders, ensuring alignment and understanding.

Join Grab as a Lead Machine Learning Engineer and play a pivotal role in shaping our fulfilment strategies through advanced machine learning solutions. You will be at the forefront of developing innovative algorithms and models that optimize our logistics and operational processes, significantly enhancing customer experiences.

Join Grab, a leading technology company in Southeast Asia, as a Senior Principal Machine Learning Engineer in our Fulfilment team. In this pivotal role, you will be responsible for designing and implementing advanced machine learning systems that enhance our operational efficiencies and customer satisfaction. Collaborate with cross-functional teams to drive innovation and deliver impactful solutions that shape the future of our services.

Join bjakcareer as a Staff Machine Learning Engineer and be a pivotal part of our innovative team, driving advancements in machine learning technologies that impact the future of our industry. In this role, you will leverage your expertise to design, develop, and implement state-of-the-art machine learning models.Your contributions will help streamline processes and enhance product offerings, uncovering insights that drive business decisions. We are looking for a candidate who is passionate about technology, data, and solving complex problems.

About Thunes Thunes acts as the Smart Superhighway for global money transfers. Our proprietary Direct Global Network empowers Members to execute real-time payments across more than 130 countries and 80 currencies. Our network connects directly with over 7 billion mobile wallets and bank accounts worldwide, utilizing more than 350 diverse payment methods, including GCash, M-Pesa, Airtel, MTN, Orange, JazzCash, Easypaisa, AliPay, WeChat Pay, and many others. Our Members include leading players in the gig economy such as Uber and Deliveroo, super-apps like Grab and WeChat, as well as MTOs, fintech firms, PSPs, and banks. The Direct Global Network stands out due to its extensive reach, our in-house Smart Treasury Management Platform, and Fortress Compliance Infrastructure, which ensures that Members enjoy unrivaled speed, control, visibility, protection, and cost efficiency for real-time global payments. Headquartered in Singapore, Thunes operates in 12 locations worldwide, including Barcelona, Beijing, Dubai, London, Manila, Nairobi, Paris, Riyadh, San Francisco, Sao Paulo, and Shanghai. For further details, visit: https://www.thunes.com/ Role Context We seek a highly motivated, detail-oriented, and technically proficient engineer eager to bridge the gap between Data Science, AI Engineering, and Production Infrastructure. This role requires a startup mindset combined with the discipline of a platform architect, ensuring our "Golden Path" to production is automated, secure, and cost-efficient. The MLOps function manages the infrastructure that connects our core working systems with our AI technology stack. You will design solutions, automated pipelines, and monitoring stacks that allow our Data Scientists and AI Engineers to deploy rapidly without issues.

Join our innovative Perception team at Motional and collaborate with top-tier ML engineers and research scientists dedicated to revolutionizing self-driving technology and fostering a positive social impact. Our focus is on developing cutting-edge technology to perceive dynamic environments and effectively track and classify objects surrounding our robo-taxis. We seek engineers who are enthusiastic about Level 4 autonomous driving technology, eager to tackle intellectual challenges, and motivated to grow their careers in a rapidly expanding company.Key Responsibilities:Develop and implement advanced perception algorithms for object detection, tracking, classification, and segmentation utilizing data from cameras, lidar, and radar.Leverage technology solutions to drive impactful business outcomes.Design and implement sensor fusion algorithms to create a robust and precise perception system.Optimize perception algorithms for real-time performance on embedded hardware.Collaborate with cross-functional teams to integrate perception systems into comprehensive autonomous systems.Stay updated on the latest advancements in machine learning and computer vision, applying them to practical challenges.Productionize and deploy solutions across autonomous vehicle fleets.Extract valuable insights from extensive datasets from various sources.Mentor and guide junior engineers within the team.

Join our dynamic team at bjakcareer as a Senior Machine Learning Engineer. In this pivotal role, you will leverage your extensive experience in machine learning to develop innovative solutions and enhance our product offerings. You will collaborate with cross-functional teams, driving the implementation of advanced algorithms and ensuring the optimization of our machine learning processes.

We are seeking a highly skilled and innovative Senior Machine Learning Engineer to join our Compliance team at OKX. In this role, you will leverage advanced machine learning techniques to enhance our compliance processes and ensure regulatory adherence. You will collaborate with cross-functional teams to develop and implement AI-driven solutions that mitigate risks and improve operational efficiency.

About UsPhysicsX is an innovative deep-tech company rooted in numerical physics and Formula One racing, committed to propelling hardware innovation at the speed of software.We are developing an AI-driven simulation software suite for the engineering and manufacturing sectors across advanced industries. By facilitating high-fidelity, multi-physics simulations through AI inference throughout the engineering lifecycle, PhysicsX opens new avenues for optimization and automation in design, manufacturing, and operations—empowering engineers to transcend traditional boundaries. Our clientele includes forefront innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.Who We’re Looking ForAs a Senior Machine Learning Engineer within our Delivery team, you will be an accomplished problem solver and technical leader focused on making a significant impact. You are adept at comprehending intricate engineering concepts across various industries, spearheading technical initiatives, and collaborating closely with customers—often working alongside them on-site—to integrate cutting-edge AI models into practical tools.You possess a proven track record of delivering machine learning systems end-to-end at scale: you design, build, and test reliable, scalable ML data pipelines; you are skilled in exploring and manipulating 3D point-cloud and mesh data for geometry-aware modeling; you choose the most suitable libraries, frameworks, and tools while making pragmatic product decisions that set the Delivery team up for success. Operating at the intersection of data science and software engineering, you convert R&D outputs into reusable libraries, tooling, and products.With a minimum of 3 years of industry experience (post-Master's or PhD) in a commercial setting, you are prepared to not only execute but also mentor and lead others. Your enthusiasm for taking ownership of complex work streams and guiding teams to success is matched by your commitment to continuously enhancing the systems and solutions you work on to ensure they are practical, impactful, and responsive to our customers' evolving needs.This RoleAs a Senior Machine Learning Engineer, your collaboration with Data Scientists, Simulation Engineers, and clients will be crucial in understanding and defining the engineering and physics challenges we tackle. You will engage with customers and leverage your influence to drive decisions regarding reliable deployment with measurable outcomes.Your responsibilities will include:Taking ownership of the deployment of machine learning models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimization & control) to customer production environments.Communicating results and trade-offs effectively to various stakeholders.

Join Grab as a Lead Machine Learning Engineer specializing in Foundation Models, where you will play a pivotal role in shaping the future of AI in our diverse product offerings. You will lead a team of talented engineers and collaborate with cross-functional teams to design, develop, and deploy advanced machine learning solutions that drive innovation and enhance user experiences.

Mission Overview:We are seeking a talented Machine Learning Systems Engineer to become a vital part of our ML Acceleration team. In this pivotal role, you will develop and maintain the essential systems that empower our researchers to train cutting-edge models at scale, with a keen emphasis on enhancing speed, cost efficiency, reliability, and throughput. You will be positioned at the crossroads of machine learning research and high-performance systems engineering, where your contributions will have a direct influence on our capacity to expand large-scale distributed model training and expedite the time-to-convergence for our next generation of models.Key Responsibilities:Performance Profiling & Optimization: Leverage profiling tools such as Nsight and PyTorch Profiler to uncover bottlenecks in data loading, gradient computation, and communication, implementing enhancements like kernel fusion, sharding, and tiling to boost step time.Distributed Training: Refine distributed training pipelines using frameworks including PyTorch Distributed.Kernel Development: Engineer and uphold high-performance GPU kernels in Triton or CUDA tailored for state-of-the-art ML workloads.Data Pipeline Engineering: Enhance robust data loading pipelines aimed at maximizing training throughput.

Join our innovative team at AppLovin as a Machine Learning Engineer specializing in Feed Recommendation systems. In this pivotal role, you will leverage cutting-edge machine learning techniques to enhance our feed algorithms, optimizing user engagement and satisfaction. If you are passionate about artificial intelligence and have a knack for solving complex problems, we want to hear from you!

Job OverviewJoin our innovative team at PatSnap as a Senior Machine Learning Engineer, where you will be at the forefront of developing cutting-edge knowledge extraction engines for the field of Materials Science. This role goes beyond basic text analysis, enabling you to tackle complex challenges related to patents and academic literature, including advanced table reconstruction, experimental workflow synthesis, chemical property mapping, and comprehensive multimodal chart analysis. Utilizing techniques such as Named Entity Recognition (NER), Retrieval-Augmented Generation (RAG), and post-training methodologies, you will transform extensive unstructured scientific documents into valuable, structured databases for R&D.

Join Grab Holdings Inc. as a Senior Machine Learning Engineer specializing in Fulfilment ETA. In this pivotal role, you will design and implement advanced machine learning models that optimize fulfillment processes and enhance the customer experience. You will collaborate with cross-functional teams to drive innovation and improve operational efficiency.

About AirwallexAirwallex stands as the premier unified payments and financial platform tailored for global enterprises. Our innovative blend of proprietary infrastructure and cutting-edge software empowers over 200,000 businesses globally — including renowned names like Brex, Rippling, Navan, Qantas, SHEIN, and many more — providing fully integrated solutions for managing business accounts, payments, spend management, treasury, and embedded finance at an international scale.Founded in Melbourne, we proudly boast a team of more than 2,000 of the brightest minds in technology across 26 offices worldwide. With a valuation of US$8 billion and the support of prominent investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is at the forefront of developing the future global payments and financial platform. If you’re ready to embark on the most ambitious journey of your career, we invite you to join us.Attributes We ValueWe seek out successful innovators who possess a founder-like spirit, eager to make a significant impact, accelerate their learning, and take true ownership of their work. You bring a wealth of role-related expertise and sharp, analytical thinking, inspired by our mission and operating principles. You operate with speed and sound judgment, driven by curiosity and grounded in first principles, balancing agility with thoroughness.You are humble and collaborative, adept at transforming zero-to-one ideas into tangible products, and you possess a knack for executing projects from start to finish. Leveraging AI, you work smarter and resolve challenges more efficiently. Here, you’ll engage with intricate, high-impact problems alongside exceptional colleagues and advance your career as we shape the future of global banking. If this resonates with you, let’s create what’s next together.About the Team:Joining our newly formed AI team means you're at the forefront of developing advanced AI technologies and platforms that revolutionize the support and automation solutions we offer to both our internal teams and external clients. Our goal is to harness every bit of knowledge within Airwallex to empower diverse use cases across our organization. This team plays a pivotal role in driving innovation and setting benchmarks for future advancements in this thrilling new domain.Role & Project Scope:We are on the lookout for a skilled and enthusiastic Machine Learning Platform Engineer to join our team and develop the next generation of our machine learning infrastructure. You will spearhead the design, implementation, and maintenance of the core MLOps platform that enables our Data Science and ML Engineering teams to rapidly develop and deploy machine learning models.

Join our innovative team at Xcellink as a Machine Learning Engineer. In this role, you will be pivotal in enhancing and scaling our cutting-edge AI platform, developing robust machine learning pipelines, and facilitating the deployment of AI workloads.Key ResponsibilitiesDesign, construct, and maintain scalable machine learning infrastructure utilizing tools such as Kubeflow, MLflow, and RunAI.Automate the configuration and management of machine learning environments and pipelines to guarantee consistency and reliability.Execute automated testing and validation of AI/ML models prior to deployment.Monitor the performance and health of models, employing tools for logging, monitoring, and alerting.Develop strategies for model retraining and updates based on performance metrics.Collaborate with data scientists, engineers, and stakeholders to convert requirements into scalable ML solutions.Actively engage in agile ceremonies including sprint planning, daily stand-ups, retrospectives, and backlog grooming.

Mission Overview:We are looking for a seasoned and innovative Principal Engineer and Tech Lead Manager to spearhead our newly established Machine Learning (ML) Acceleration team. This crucial role will shape the strategy, development, and implementation of initiatives focused on significantly enhancing ML model training speed. The primary objective is to substantially shorten the development cycle for new ML models and facilitate swift hot-patching to address issues in our autonomous vehicle services.You will serve as a proactive leader, combining extensive technical knowledge in ML systems and performance optimization with robust leadership and team management capabilities. Your responsibilities will include recruiting, mentoring, and fostering a high-performing engineering team while cultivating an environment that promotes innovation, collaboration, and ongoing improvement.Key Responsibilities:Team Leadership & Management:Build, lead, and manage a high-performing team of ML and infrastructure engineers focused on acceleration.Offer technical guidance, mentorship, and career development opportunities to team members.Encourage a collaborative and inclusive team culture.Establish team objectives, priorities, and roadmaps in alignment with organizational goals.Technical Strategy & Execution:Define the overarching technical vision and strategy for ML acceleration within the organization.Identify and assess advanced technologies and methodologies for expediting ML training, including but not limited to data pipeline optimization, large-scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques.Design, develop, and implement scalable and efficient solutions for ML acceleration.Cross-functional Collaboration:Work closely with ML research, ML training platform, and product teams to comprehend their requirements and seamlessly integrate acceleration solutions.Effectively communicate complex technical concepts and strategies to both technical and non-technical stakeholders.Serve as a technical expert and advocate for ML acceleration initiatives across the organization.Impact & Measurement:Regularly measure and report on the effectiveness of acceleration efforts.Continuously explore and implement opportunities for further optimization and innovation.

Join our dynamic Behaviors team at Motional, where you will collaborate with exceptional machine learning engineers and research scientists dedicated to transforming autonomous driving into a reality and generating positive social impacts. Our team specializes in developing machine learning models that simulate how various agents navigate intricate real-world traffic conditions. These models are essential in defining the behavior of our self-driving vehicles and predicting the actions of other road users, including cars and vulnerable pedestrians. We seek passionate engineers who are driven by the challenge of autonomous driving and eager to grow their careers in a rapidly evolving company.