ML, Perception, or Robotics Intern working on 3D perception, multimodal ML, sensor fusion, mapping, localization, navigation, or autonomy for outdoor robots
Responsibilities
Own projects from research and design through deployment and iteration on real robots
Build and evaluate ML, perception, mapping, and autonomy systems
Train models on custom outdoor datasets collected by our robots
Develop sensor fusion across LiDAR, cameras, GPS/IMU, and other sensors
Build localization, navigation, controls, and robot behaviors
We are seeking a Staff Robotics Engineer to drive the development of advanced robotic systems that combine hardware and software to solve complex manufacturing and operational challenges.
Compensation
Base Salary: $150k - $200k
Responsibilities
Design, develop, and deploy robotic systems integrating hardware components with sophisticated software control algorithms, both deep learning-based and classical
Own the sim-to-real pipeline of our robotics algorithms
Develop and implement control systems, inverse kinematics algorithms, and safety algorithms
Prototype and test robotic systems in real-world environments, iterating based on performance data
Seeking a highly skilled Vision System Data Science Engineer (Level 4) to much the design, development, and deployment of advanced computer vision and machine learning solutions for complex industrial and manufacturing applications.
Responsibilities
Design, develop, and deploy computer vision algorithms for detection, classification, segmentation, anomaly detection, and predictive analytics.
Build scalable machine learning and deep learning models using image, video, and multimodal sensor data.
Lead the complete data science lifecycle, including data collection, labeling, feature engineering, model training, validation, deployment, and monitoring.
Develop robust image-processing pipelines utilizing modern computer vision frameworks and cloud technologies.
Define data quality standards and establish model performance metrics to ensure production readiness.
Conduct engineering in core AI and machine learning fields to enable Embodied AI for related business domains of ADAS/AD, industrial automation, robotics etc.
Compensation
We offer a competitive base salary for this position with a range in US-California of --$160,000 - $180,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time.
Responsibilities
Conduct engineering in core AI and machine learning fields to enable Embodied AI (including computer vision, autonomous planning, open-world learning, and so on) for related business domains of ADAS/AD, industrial automation, robotics etc.
Push the boundaries in AI based Robotics, incorporating advancements in large vision-language-(action) models to aid reasoning capabilities and explainability.
Collaborate cross-functionally with global research and engineering teams to ensure seamless technology transfer and system integration.
Implement research results to solve real-world challenges, ensuring high-quality system integration within Bosch's existing platforms.
Stay at the forefront of innovation by actively engaging with academic and industry communities through conferences, workshops, and technical events.
Requirements
Ph.D. in Computer Science, Robotics or a related discipline
Research Engineer to join the ACT Character team, working at the intersection of research and engineering to bring cutting-edge AI and algorithmic capabilities into our character pipeline.
Responsibilities
Contribute to the ACT Character R&D team's work advancing the quality of real-time characters in Unreal Engine
Collaborate with researchers, artists, and engineers across the full character creation process (from scanning and performance capture to animation and rendering)
Identify points of friction in existing processes and develop techniques to automate and improve the art team's efficiency
Research and develop prototypes that solve hard problems in the space of digital characters
Stay current on the latest research in digital characters and adjacent fields to inform the team's direction
Requirements
MSc/Ph.D. in computer science, electrical engineering, or a related field
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