AI Research Engineer

Company Overview: Dyna Robotics is at the forefront of revolutionizing robotic manipulation with cutting-edge foundation models. Our mission is to empower businesses by automating repetitive, stationary tasks with affordable, intelligent robotic arms. Leveraging the latest advancements in foundation models, we're driving the future of general-purpose robotics—one manipulation skill at a time. Dyna Robotics was founded by industry leaders who previously achieved a $350 million exit in grocery deep tech as well as top robotics researchers from DeepMind and Nvidia. Our team blends world-class research, engineering, and product innovation to drive the future of robotic manipulation. With sizable funding already in place, we're positioned to redefine the landscape of robotic automation. Join us to shape the next frontier of AI-driven robotics Position Dyna Robotics is seeking an innovative AI Research Engineer to spearhead the design and development of cutting-edge AI models for dexterous robotic manipulation—a critical pillar in driving our go-to-market applications and advancing our vision of adaptable, multi-functional robots. In this role, you’ll own the entire AI model lifecycle, from data acquisition and preprocessing through to deployment and real-world performance optimization. Your expertise will play a pivotal role in shaping Dyna Robotics' immediate product milestones and establishing a distinct competitive edge in the robotics industry. Key Responsibilities Conduct research and develop novel AI models focused on robotic manipulation Design and implement scalable data infrastructure to accelerate model and algorithm iteration Collaborate with cross-functional teams to enhance the capabilities of robotic manipulation systems Develop and deploy reliable, high-quality robotic software solutions Establish and monitor metrics to evaluate and improve model performance Qualifications Master’s degree or higher in Computer Science, Robotics, or a related field, or equivalent practical experience At least 3 years of experience in AI and robotics engineering Proven experience in building end-to-end robotic learning solutions, from data collection to model deployment Deep understanding of robot learning methods, such as reinforcement learning, imitation learning, variational autoencoders (VAEs), and diffusion models Proficiency in large-scale data processing and pipeline creation Knowledge of data integrity challenges and solutions Strong foundation in Computer Science fundamentals (e.g., operating systems, databases, networking) Experience with infrastructure tools such as Docker, Kubernetes, Ansible, or Terraform. Expertise in Python and proficiency in at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX) Passion for robotics and advancing robotic products Excellent analytical and problem-solving skills Adaptability to perform tasks necessary to ensure model or algorithm success in real-world applications Preferred Qualifications Experience with multi-modal foundation models High levels of creativity, productivity, and autonomy in research Familiarity with robotic simulation platforms such as MuJoCo, NVIDIA Isaac, or Drake