Member of Technical Staff - Machine Learning

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 en…

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 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.

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.

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.

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 our dynamic team as a Program Intern in Learning & Development at ncs3! This internship opportunity is designed for ambitious individuals eager to gain hands-on experience and contribute to innovative learning solutions. You will work closely with our Learning & Development team, assisting in the design and implementation of training programs that enhance employee skills and foster professional growth.

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 Grab's Tech For Good Institute as a Research Intern and contribute to impactful projects that leverage technology for social good. This dynamic role involves conducting thorough research, analyzing data, and supporting innovative initiatives aimed at addressing societal challenges. You will collaborate with a passionate team dedicated to making a positive difference through technology.

Empowering a Future of AutonomyAt Venti Technologies, we are on a mission to revolutionize logistics through cutting-edge robotic vehicles that enhance safety, promote sustainability, and improve everyday lives.Our dynamic team is dedicated to creating disruptive technologies that will reshape the world. We are innovators, tinkerers, and problem-solvers, equipped with the ingenuity necessary to turn ambitious ideas into reality. Join us as we embark on our journey toward fleet-level deployment of autonomous vehicles.About Venti TechnologiesWith a presence in both the U.S. and Asia, Venti Technologies is at the forefront of safe-speed autonomous logistics systems, paving the way for the future of transportation. Utilizing advanced mathematics, deep learning, and robust algorithms, we have developed a proprietary suite of autonomy technologies that includes powerful logistics algorithms. Our proven solutions are recognized for their ability to reduce costs, enhance vehicle utilization, and improve safety, fostering significant growth. Established in 2018, Venti boasts an exceptional international team and has deployed autonomous systems across Asia in industrial and logistics operations. Our Asian headquarters is located in Singapore.

Activate Interactive Pte Ltd is seeking a Data Science Intern to join the team in Singapore. This internship offers direct experience in data analytics and machine learning, working alongside professionals in the field. Role overview The Data Science Intern will assist with data manipulation, statistical analysis, and the use of machine learning algorithms. Daily work involves collaborating with experienced data scientists and contributing to projects that address practical business challenges. What you will do Work with data sets to clean, organize, and prepare information for analysis Support statistical analysis and modeling tasks Apply machine learning techniques to real-world problems under guidance Collaborate with the team to deliver insights and solutions Requirements Interest in technology and data science Strong analytical and problem-solving skills Willingness to learn and contribute to team projects Creative thinking and a drive to explore new ideas

Why choose Nebius?Nebius is at the forefront of revolutionizing cloud computing, catering to the demands of the global AI economy. Our innovative tools and resources empower clients to tackle real-world challenges and transform industries without incurring hefty infrastructure costs or the necessity to develop extensive in-house AI/ML teams. Our teams work alongside some of the most skilled and imaginative leaders and engineers in the AI cloud infrastructure sector.Our Work EnvironmentWith our headquarters situated in Amsterdam and listed on Nasdaq, Nebius boasts a global presence with R&D hubs spanning Europe, North America, and Israel. Our diverse workforce of over 1,400 includes more than 400 highly proficient engineers, alongside a dedicated in-house AI R&D team.The OpportunityWe are looking for an accomplished Senior Machine Learning Solutions Architect to assist our clients in harnessing the power of Nebius Token Factory's serverless inference platform for open-source large language models (LLMs) across various modalities. In this position, you will collaborate with clients to design and implement tailored LLM-based solutions and architect scalable AI applications utilizing our served models. Additionally, you will work closely with our backend team to enhance our platform to align with client demands.This is a fully remote position based in Singapore.Your Key Responsibilities Include:Designing and implementing LLM-based solutions using Nebius Token Factory’s inference services to drive business value and meet customer objectives.Creating production-ready applications that leverage our serverless LLM APIs, encompassing multimodal models (text, vision, audio) and domain-specific models.Providing technical guidance in prompt engineering, retrieval-augmented generation (RAG) architectures, model selection, and inference optimization.Collaborating with product and engineering teams to elevate customer feedback and influence the platform roadmap.Assisting clients in scaling from proof of concept (POC) to production with a focus on performance, reliability, and cost efficiency.

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 Grab, a leading technology company in Southeast Asia, as a Senior Principal Machine Learning Engineer in our Fulfilment division. You will play a crucial role in leveraging machine learning techniques to optimize our operations and enhance customer experience. Your expertise will guide our teams in developing innovative solutions that drive efficiency and scalability.

SonarSource is looking for an AI Research Scientist/Engineer to join the Data & AI team in Singapore. The focus of this position is to improve the company’s code analysis engine through artificial intelligence and large language models. The work directly impacts millions of developers, helping to make code more reliable and secure. Key responsibilities Research and design new AI methods for analyzing source code Use large language models to solve real-world software engineering challenges Turn research insights into practical features for SonarSource products Work closely with colleagues to tackle complex technical issues Location This role is based in Singapore and requires working onsite with the Data & AI team.

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.

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.