Senior Machine Learning Engineer - Perception

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 Our Team as a Senior Software Engineer (Backend)At PatSnap, we are at the forefront of innovation, empowering IP and R&D teams with our cutting-edge AI-powered solutions. As a Senior Software Engineer focusing on backend development, you will play a pivotal role in enhancing our platform, driving productivity and collaboration across the innovation lifecycle. We invite you to become part of our mission to transform how organizations make decisions about intellectual property and research and development.

About the RoleJoin PatSnap as a Formulation Scientist, where your expertise in cosmetics or chemical formulation will play a pivotal role in our innovative projects. Collaborate closely with Product Managers and AI Engineers to enhance the Eureka Materials Agent, ensuring technical precision, real-world application, and significant industry impact. We are looking for a passionate individual who melds robust formulation skills with a keen interest in AI-driven advancements and the digital landscape of product development.

Join Our Team as a Strategic Account ManagerAre you passionate about nurturing and expanding high-value enterprise relationships within a leading global SaaS company?Do you have a proven track record of managing complex accounts and driving strategic growth rather than just retention?Are you adept at engaging in executive-level discussions and building long-lasting partnerships?Do you thrive in environments that focus on innovation and are at the forefront of R&D and IP transformation?If you find these statements resonate with you, we want to connect!Role Overview:We are on the lookout for a Strategic Account Manager to enhance our Client Success team based in Singapore. In this pivotal role, you will take ownership of a portfolio of strategic enterprise accounts, focusing on renewals, expansion, and fostering executive-level relationships.You will collaborate closely with senior stakeholders to maximize the value of Patsnap in their IP and R&D workflows while identifying and seizing new growth opportunities within complex, multi-stakeholder organizations. Your responsibilities will be strategically balanced between approximately 60% expansion and new business development within existing accounts and 40% dedicated to renewals and account retention, necessitating a strong commercial acumen alongside exceptional relationship-building skills.This is a high-impact, commercially driven role ideal for someone who excels in enterprise environments, is passionate about cultivating long-term partnerships, and aspires to play a critical role in scaling revenue through customer success.This opportunity is office-based in our Singapore location.

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.

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.

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.

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.

About Mistral AIAt Mistral AI, we harness the transformative power of artificial intelligence to streamline processes, save time, and elevate creativity and learning experiences. Our innovative technology integrates seamlessly into the fabric of daily work life.We are committed to democratizing AI through the development of high-performance, optimized, open-source models, products, and solutions. Our comprehensive AI platform caters to enterprise needs, whether deployed on-premises or in cloud environments, including le Chat, our AI assistant designed for both personal and professional use.As a vibrant and collaborative team, we are driven by our passion for AI and its potential to effect societal change. Our diverse workforce thrives in competitive settings and is dedicated to spearheading innovation. With teams distributed across France, the USA, the UK, Germany, and Singapore, we foster a creative, low-ego, and team-oriented culture.Join us and play a pivotal role in a pioneering company that is actively shaping the future of AI. Together, we can create a significant impact. Explore more about our culture at https://mistral.ai/careers.Position OverviewMistral AI is on the lookout for an Applied AI Engineer to drive the integration of our products with customers and collaborate closely to tackle intricate technical challenges.As a crucial member of our Applied AI Engineering team, you will facilitate the successful deployment of Mistral AI solutions. You will partner with clients from the pre-sales phase through post-implementation, ensuring that our offerings not only meet but exceed client expectations.In this role, you’ll manage daily interactions with multiple stakeholders, including CEOs, CTOs, data scientists, and software engineers, serving as a vital resource in translating our research into practical production settings.Key Responsibilities• Onboard clients on our products and APIs, guiding them in prompts, evaluations, and fine-tuning to ensure optimal integration with both back-end and front-end interfaces.• Collaborate on cutting-edge GenAI applications, spanning consumer products to industrial implementations, driving significant technological transformations with our clients.• Lead the deployment of production use cases that deliver considerable business impact across diverse industries.• Work alongside our researchers, AI engineers, and product teams on complex customer projects that involve intricate fine-tuning and state-of-the-art LLM applications, contributing to our open-source codebases.

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 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 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.

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 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.

Role overview ncs3 seeks a Senior AI Engineer to join the team in Singapore. The position centers on designing and building AI algorithms and machine learning models that power the company’s technology solutions. What you will do Create and implement AI algorithms and machine learning models for practical use cases. Collaborate with colleagues from various disciplines to bring AI features into existing systems. Support projects aimed at expanding ncs3’s technical strengths in artificial intelligence. Location This role is based in 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.