Vice President of Research in Machine Learning

Join bjakcareer as a Technical Lead in Machine Learning, where you will spearhead innovative machine learning projects and lead a talented team of engineers. Your expertise will drive the development and deployment of cutting-edge algorithms and models, shaping the future of our technology. Collaborate with cross-functional teams to identify opportunities and deliver impactful solutions.

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 our dynamic team at bjakcareer as a Member of Technical Staff specializing in Machine Learning. In this role, you will leverage advanced algorithms and data analysis techniques to develop innovative machine learning solutions that drive our products forward. You will collaborate with cross-functional teams to implement state-of-the-art technology and ensure the successful integration of machine learning models into our systems.

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 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.

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 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.

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.

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 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 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.

Position: Data Scientist – Machine Learning in AI FintechJoin Cygnify, a prominent player in the AI Fintech sector, as we seek a skilled Data Scientist with a strong background in banking models, fraud detection, and machine learning techniques. In this role, you will be integral in designing predictive models, identifying fraud patterns, and collaborating with Risk, Product, and Engineering teams to deliver effective data-driven solutions.Key Responsibilities:Develop and deploy machine learning models focused on credit risk management, payment systems, and fraud detection.Conduct thorough analysis of transactional data to uncover fraud patterns and assess emerging risks.Execute feature engineering, model training, validation, and ongoing monitoring to ensure model performance.Work closely with cross-functional teams to integrate models into existing production systems.Ensure compliance with all regulatory and industry standards regarding model deployment.

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.

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 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.