…Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience 5+ years experience in Machine Learning and Computer…

…Drive Multimodal Sensor Integration: Collaborate closely with computer vision, perception, and motion planning teams to build systems capable of reasoning over diverse modalities, including…

…ABOUT THE JOB We are looking for a founding Staff AI Infrastructure Engineer to architect, build, and scale the end-to-end machine learning…

…machine learning, or perception - Hands-on experience with sensor fusion techniques including multi-modal calibration, temporal alignment, and uncertainty quantification across sensor modalities - Familiarity…

…PhD in Computer Science, Machine Learning, or Robotics, with a research focus on Reinforcement Learning, Foundation Models, or Multi-Modal learning. Substantial involvement in…

…production constraints to ensure multimodal capabilities function within hard real-time latency budgets - 5+ years of building machine learning models for business application experience…

…Act as the strategic bridge between machine learning research scientists, simulation developers, robotics engineers, and hardware teams to deliver data-ready platform features that…

…a multi-modality foundation model to drive the next generation of autonomous system intelligence. As a Machine Learning and System Optimization Engineer, you will…

…multi-modal foundation models (such as recent LLMs, VLMs). A track record of applying human behavior models to machine learning applications, or applying machine…

…Our team is a diverse, and collaborative group of software engineers, machine learning (ML) engineers, and data scientists. We develop industry-leading simulation solutions…

…We are building the next generation of smart delivery vehicles, both traditional and electric, combining IoT technologies, real-time data streams, and machine learning…

…from machine learning applications. As we build our presence in Autonomous Vehicles (L4-5), we are seeking a Staff Specialist Field Engineer to establish…

…scientists and engineers passionate about building intelligent machines. We value curiosity, rigor, and a bias for action. We believe in learning from failure and…

…models, vision language models, large multi-modal models, automated video surveillance and related fields Experience deploying deep learning models in an embedded production context…

…PhD in Computer Science, Machine Learning, or Robotics, with a research focus on Reinforcement Learning, Foundation Models, or Multi-Modal learning. Extensive experience designing…

…areas such as perception, manipulation, science understanding, locomotion, manipulation, sim2real transfer, multi-modal foundation models and multi-task robot learning, designing novel frameworks that…

…You'll drive independent research initiatives in areas such as locomotion, manipulation, motor control, actuator design, sim2real transfer, and multi-modal robot learning, designing…

…engineers. Strong interest towards team leadership, cross functional collaboration and mentoring/guiding new team members. Strong understanding of Machine Learning fundamentals with multiple external…

…across diverse tasks - Integrate multi-modal learning capabilities (visual, tactile, linguistic) - Accelerate skill acquisition through demonstration learning - Enhance robotic perception and environmental understanding - Streamline…

…multi-modal foundation models (such as recent LLMs, VLMs). A track record of applying human behavior models to machine learning applications, or applying machine…

…The ideal candidate should possess: - Strong background in machine learning, deep learning, and/or robotics - Publication record at science conferences such as NeurIPS, CVPR…

…The ideal candidate should possess: - Strong background in machine learning, deep learning, and/or robotics - Publication record at science conferences such as NeurIPS, CVPR…

…modern microservice architecture; machine learning, multithreading; x86 architecture; and software performance tuning and optimization, robotics software frameworks, different compute modalities (CPU, GPU, FPGA) etc…

…multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios. Hybrid Autonomy Integration – Work at the intersection of classical autonomy and machine learning…

…As a Senior Staff ML Engineer, you will lead the development of machine learning algorithms that can range in influence from onboard autonomy to…