Senior Principal Machine Learning Engineer - Fulfilment

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 Perception Team at Motional, where you will collaborate with leading ML engineers and research scientists dedicated to transforming self-driving vehicles into a reality while positively impacting society. Our team focuses on the technology that interprets dynamic scenarios, tracking, and classifying objects surrounding our robo-taxi system. We seek talented engineers to enhance our machine learning (ML) perception pipelines, including large-scale data pipelines, evaluation and visualization tools, and our active learning loop.Our robust data pipelines are essential for efficient ML development, encompassing data transformation, model training, and evaluation for both on-car and off-car perception solutions. The evaluation and visualization tools we create provide clear insights into dataset distributions, model behaviors, system performance, and edge-case scenarios. Our active learning loop continuously selects high-value data to refine model accuracy and robustness.

Join our Perception team at Motional, where you will collaborate with top-tier ML engineers and research scientists dedicated to transforming the future of transportation through self-driving vehicles. Our cutting-edge technology is pivotal in understanding dynamic environments while effectively tracking and classifying objects around our robotic taxis. We seek engineers who are deeply passionate about Level 4 autonomous driving technology, thrive on intellectual challenges, and aspire to grow their careers with an innovative and fast-paced company.Key Responsibilities:Implement and deploy perception models on edge devices.Enhance and optimize GPU-accelerated algorithms via CUDA.Create advanced post-processing and classical vision algorithms.Optimize system performance focusing on latency, throughput, memory, and determinism.Elevate code quality through rigorous reviews, testing strategies, and performance benchmarks.Engage closely with ML engineers to:Enhance model robustness and readiness for deployment.Shape training objectives based on system requirements.Diagnose and rectify integration issues between models and systems.

At Intrinsic Robotics, a venture by Alphabet, we are on a mission to revolutionize industrial robotics through groundbreaking advancements in AI, perception, and simulation. Our passionate team of engineers, roboticists, designers, and technologists is dedicated to making industrial robotics intelligent, accessible, and user-friendly for countless businesses, entrepreneurs, and developers.Join us as we unlock the creative and economic potential of industrial robotics, paving the way for a smarter, more efficient future.Role OverviewAs a Deep Learning Engineer specializing in perception, you will leverage your expertise in software engineering, deep learning, and 3D computer vision. Your primary responsibility will be to design, optimize, and deploy advanced perception capabilities for industrial robots. This role is critical in developing cutting-edge AI models, including transformer-based foundation models for object detection, pose estimation, 3D reconstruction, and grasping, enabling robots to interact intelligently with their environments in real-world industrial applications.Your ContributionsDesign and implement robust deep learning models for 3D vision tasks, including object detection and pose estimation.Optimize algorithms for effective grasping and manipulation in complex industrial settings.Translate state-of-the-art deep learning research into practical, deployable solutions for physical robots.Enhance robot perception capabilities for more sophisticated interactions in dynamic manufacturing environments.Collaborate in the design and implementation of core perception software skills within Intrinsic's platform.

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.

At Intrinsic, part of Alphabet, we are pioneering the next generation of industrial robotics. Our innovative team harnesses advancements in AI, perception, and simulation to redefine what is achievable in robotics, placing software and data at the forefront of our mission.Our goal is to make industrial robotics smarter, more accessible, and user-friendly for a multitude of businesses, entrepreneurs, and developers. We are a vibrant collective of engineers, roboticists, designers, and technologists, driven by our passion to unlock the creative and economic potential of robotics in industry.Role OverviewAs a Software Engineer specializing in Perception, you will leverage your expertise in software engineering, deep learning, and 3D computer vision to develop, optimize, and deploy advanced perception systems for industrial robots. Your contributions will be crucial in crafting and implementing cutting-edge AI models for object detection, pose estimation, 3D reconstruction, and robotic grasping. You will empower robots to adeptly interact with their surroundings in real-world industrial contexts, translating state-of-the-art deep learning research into practical, scalable solutions that enhance the intelligence and accessibility of industrial robotics.Impact of Your WorkDesign and implement robust deep learning models for complex 3D computer vision tasks, including object detection and pose estimation.Optimize algorithms for effective grasping and manipulation within intricate industrial environments.Enhance robotic perception capabilities for sophisticated and reliable interactions in dynamic manufacturing scenarios.Collaborate in the design, implementation, and documentation of core perception software components within Intrinsic's platform.Assist users in effectively applying perception technologies in production settings.

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 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.

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.

Grab Holdings Inc. is seeking a Senior Software Engineer focused on perception for robotics in Singapore. This position centers on developing software that helps robots understand and respond to their surroundings. Role overview This role involves designing and building advanced systems that allow robotic platforms to interpret their environments. The work supports real-world applications, turning technical concepts into practical solutions for robotics. What you will do Create and refine perception algorithms for robotic systems Implement software that enables robots to process sensory data Contribute to projects that shape the capabilities of intelligent robotics Impact Your work will influence how robots interact with the world, playing a key role in advancing robotics technology at Grab.

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.

Grab is looking for a Senior Software Engineer to join the Perception team in Singapore. This position plays a key part in advancing robotics by enhancing how systems sense and understand their environment. The main focus is on building and improving perception features for Grab's robotics platforms. Key responsibilities Develop and refine algorithms that power perception systems in robotics. Design and conduct experiments to test and enhance perception solutions. Collaborate with cross-functional teams to integrate perception technology into existing robotics platforms.

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 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.

Founded in 2017, WeRide (NASDAQ: WRD) stands at the forefront of the autonomous driving revolution, pioneering cutting-edge technologies that span from Level 2 to Level 4 autonomy. As a unique player in the global landscape, WeRide is the only technology firm that possesses driverless permits across China, the UAE, Singapore, and the United States, enabling comprehensive R&D, testing, and operational capabilities in over 30 cities across 9 countries. With a remarkable track record of managing a self-driving fleet for over 1,800 days, WeRide is committed to redefining mobility.WeRide (Singapore) is on the lookout for exceptional Machine Learning Engineers who are eager to tackle some of the most challenging problems in AI and robotics that are reshaping the future of mobility. Join a team of world-class experts and contribute to advancing technologies in areas such as computer vision, sensor fusion, machine learning, object tracking, and motion planning.

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.