Research Software Intern - SLAM, Machine Learning & Sensor Calibration

Join Motional as a passionate Research Software Intern focused on cutting-edge research and development in the fields of Localization, Mapping, and Calibration. This internship offers a unique chance to contribute to the evolution of autonomous vehicle technology while collaborating with industry leaders in innovation. The internship will be held in our Sing…

Job Summary:Become an integral part of our pioneering Calibration team as a Senior Software Engineer and contribute significantly to the realization of autonomous vehicles. Collaborate with top-tier engineers and industry experts to calibrate various sensors including Lidar, cameras, IMUs, and radars, forming the bedrock of our autonomous driving technology.Key Responsibilities:Design and execute sophisticated calibration applications for autonomous vehicle systems, maximizing performance and safety in both indoor and outdoor environments.Work in synergy with cross-functional teams to embed calibration solutions into our self-driving vehicles, ensuring unparalleled quality and dependability.Leverage extensive internal datasets to validate and showcase your research and development findings effectively.

Intrinsic Robotics, a pioneering venture of Alphabet, is dedicated to transforming the landscape of industrial robotics. Our team harnesses advancements in AI, perception, and simulation to push the boundaries of what industrial robotics can achieve, with software and data as the driving force.Our mission is to make industrial robotics intelligent, accessible, and user-friendly for millions of businesses, entrepreneurs, and developers across the globe. We are a vibrant team of engineers, roboticists, designers, and technologists, united by a passion for unlocking the creative and economic potential of industrial robotics.Role OverviewAs a Robotics Software Engineer specializing in Sensor-Based Control and Robot Learning, you will be at the forefront of developing and integrating cutting-edge control strategies and Machine Learning (ML) policies within Intrinsic's Realtime Robot Control framework. Your work will involve deploying visual servoing and force-control skills in real-world manufacturing environments, specifically focusing on dexterous, contact-rich assembly tasks. You will manage the complete development lifecycle, including designing controllers, ensuring seamless hardware integration, conducting extensive experiments, and optimizing performance metrics to adhere to stringent industrial standards.Contributions to Our MissionDevelop visual servoing and interaction control loops for complex insertion and assembly tasks.Implement advanced sensor fusion and time-synchronization algorithms for multi-modal robot control.Own and execute the full experimentation cycle, routinely conducting trials on industrial hardware to assess algorithmic adjustments and gather high-quality training data.Design and construct modular components for our kinematics, state estimation, and control systems to enhance robustness in contact-rich scenarios.Analyze logs and telemetry from various sensor inputs to pinpoint failure modes and guide the technical roadmap.Optimize real-time execution frameworks for learned manipulation models within the Intrinsic platform.

As the Vice President of Research in Machine Learning, you will lead innovative projects that push the boundaries of artificial intelligence and machine learning technologies. You will be responsible for spearheading research initiatives, fostering collaboration across departments, and guiding a team of talented researchers to develop cutting-edge solutions. Your contributions will directly impact our strategic direction and drive advancements in our product offerings.

Join our dynamic mapping team at Motional, where you will collaborate with leading experts in the fields of mapping, software engineering, and machine learning to develop revolutionary mapping systems for autonomous vehicles. We are at the forefront of innovation in mapping technology, and we are looking for passionate engineers who are eager to take on intellectual challenges and contribute to the future of transportation.Your Responsibilities:Address complex challenges in large-scale mapping by utilizing cutting-edge methods and technologies.Design and implement high-quality, scalable software using Python, C++, and other advanced tools.Handle diverse datasets from various sources, including vehicle sensors and geospatial data.Mentor junior software engineers and domain experts, aiding in their professional development.Collaborate closely with cross-functional teams, including both technical and non-technical stakeholders, on impactful projects.

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 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.

Become a vital part of an innovative adtech leader, connecting business strategy with technical execution. As a Research and Analytics Intern, you will utilize advanced LLMs and 'vibe coding' to develop rapid prototypes and convert complex data into actionable insights that yield tangible ROI.Your Responsibilities:Develop rapid internal tools, data scrapers, and automation scripts using LLMs such as ChatGPT, Claude, and Cursor to deliver proof of concepts (POCs) within days.Transform vague marketing and business inquiries into structured analytical frameworks and cleanse large datasets for insightful outcomes.Investigate and evaluate new AI agents and prompt engineering methodologies to automate content workflows, conduct sentiment analysis, and perform lead scoring.Effectively communicate intricate insights through data storytelling and create dynamic dashboards using platforms like Looker Studio, Tableau, or Streamlit.Your Profile:A student who can commit to a full-time internship for 6 months, with relevant coursework in AI and data analytics.Proficient in utilizing LLMs, AI agents, and 'vibe coding' tools (Claude, Cursor) for developing swift POCs using Python and SQL.Possess an agile mindset with a strong problem-solving attitude and a deep curiosity to self-learn new technologies rapidly.Preferred Skills:Ability to transform disorganized datasets into coherent narratives and visual dashboards using BI platforms like Looker Studio or Streamlit.A solid understanding of marketing funnels, KPIs, and business logic to effectively bridge the gap between strategy and data.

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.

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.

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 SGS, a global leader in inspection, verification, testing, and certification services, as a Calibration Officer. In this dynamic role, you will be responsible for ensuring the accuracy and reliability of measurement instruments used in various industries.Your work will involve calibrating equipment, maintaining calibration records, and supporting the laboratory in delivering precise testing results. You will collaborate with a talented team in a state-of-the-art laboratory environment.

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.

Join Our TeamBe part of the Fulfilment Tech family at Grab, a key player in enhancing our services for consumers and partners across Southeast Asia. We are dedicated to developing high-throughput, real-time distributed systems that utilize machine learning techniques to address millions of requests daily. Our mission is to deliver exceptional products and experiences to our driver partners, fostering greater adoption and engagement with our services. We aim to equip our driver partners with opportunities and efficiency to fulfill consumer orders seamlessly, regardless of the weather. Additionally, we strive to create efficient marketplaces by establishing sustainable pricing that resonates with our partners and consumers.Grab stands as Southeast Asia's foremost super-app, offering essential services such as deliveries, mobility, financial services, and enterprise solutions to millions of users throughout the region. Our fulfilment machine engineering team is tackling complex challenges in the marketplace, focusing on dynamic pricing and supply-demand management. We are in search of senior machine learning engineers to help realize our vision by developing and enhancing innovative reinforcement learning models and simulation platforms. About the RoleReporting directly to the Senior Engineering Manager and based at Grab's One North office in Singapore, this hands-on position involves the creation of large-scale simulation platforms. You will construct a digital twin of Grab's marketplace, encompassing thousands of consumers, drivers, and merchants. You will also develop reinforcement learning, optimization, and control models to address business challenges within Grab's marketplace and deploy solutions at scale.Your Key ResponsibilitiesDesign and develop our simulation platform to replicate marketplace responses for the diverse services that Grab provides.Collaborate with data scientists and engineers to create simulation flows that support their platform policies and optimizations.Partner with data scientists and engineers to develop simulation SDKs aimed at enhancing the user experience of the simulation platform.Work alongside data scientists to integrate and establish feedback loops for policy search using the simulation platform.Design and scale the simulation platform to execute hundreds to thousands of simulations daily.Contribute to service capacity and demand planning, software performance analysis, cost evaluation, tuning, and optimization.Participate in code and design reviews to uphold our high development standards.

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 Bosch Group as a Learning & Development Intern and embark on a journey to enhance your professional skills while contributing to our innovative projects. As an intern, you will assist in the development and implementation of training programs that foster employee growth and engagement.

Jump Trading Group is at the forefront of world-class research, dedicated to empowering exceptional talents in Mathematics, Physics, and Computer Science. We encourage our team to explore scientific boundaries, innovate continuously, and apply advanced research to the global financial markets. Our unique culture fosters fearlessness, creativity, intellectual integrity, and a relentless competitive spirit. We believe in collective success and the power of collaboration, which allows us to unlock individual talents. At Jump, our research initiatives yield not only superior risk-adjusted returns but also drive the design, development, and deployment of transformative technologies that impact various industries. We actively fund start-ups and collaborate with leading global research organizations and universities to tackle pressing challenges.Our trading teams consist of dynamic traders, quantitative researchers, and engineers who collaborate closely to analyze global markets, aiming to understand the complexities of diverse traded products and exchanges. They utilize their exceptional statistical analysis and data mining capabilities to generate forecasts and create profitable predictive trading models.

At Exa, we are on a mission to revolutionize the search engine landscape for AI applications. Our team is dedicated to building a cutting-edge search engine from the ground up, integrating massive-scale infrastructure that efficiently crawls the web, trains advanced embedding models for indexing, and develops high-performance vector databases in Rust. We proudly operate a $5 million H200 GPU cluster that powers tens of thousands of machines, enabling us to push the boundaries of what’s possible in search technology.As a Generalist Research Engineer, you will play a pivotal role in enhancing our search and retrieval systems, including crawling, parsing, machine learning performance, and retrieval algorithms. Our focus is on delivering top-notch search quality for our customers, and your contributions will be integral to this goal.