Job Description
We are not just building software; we are architecting the future. 2026 Labs is seeking a visionary Senior AI & Robotics Engineer to lead the development of next-generation autonomous systems designed for the year 2026 and beyond. In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and real-world robotic applications, ensuring our solutions are scalable, ethical, and revolutionary. Join us in defining the operational standards for the next decade of human-machine collaboration.
Responsibilities
Design and deploy advanced neural architectures for autonomous decision-making and real-time processing.
Collaborate with hardware teams to integrate AI models into next-gen robotic platforms.
Mentor junior engineers and foster a culture of innovation, technical excellence, and rapid prototyping.
Optimize algorithms for low-latency, high-performance environments in dynamic settings.
Conduct cutting-edge research in Generative AI, Computer Vision, and Reinforcement Learning.
Ensure system robustness, safety compliance, and ethical AI standards in all deployments.
Collaborate with hardware teams to integrate AI models into next-gen robotic platforms.
Mentor junior engineers and foster a culture of innovation, technical excellence, and rapid prototyping.
Optimize algorithms for low-latency, high-performance environments in dynamic settings.
Conduct cutting-edge research in Generative AI, Computer Vision, and Reinforcement Learning.
Ensure system robustness, safety compliance, and ethical AI standards in all deployments.
Qualifications
Ph.D. or Master’s degree in Computer Science, Robotics, or a related technical field.
Proven experience (5+ years) in machine learning, deep learning, or reinforcement learning.
Proficiency in Python, C++, and frameworks like TensorFlow or PyTorch.
Strong understanding of operating systems, embedded systems, and sensor fusion.
Excellent problem-solving skills with a track record of delivering complex, large-scale technical projects.
Ability to thrive in a fast-paced, high-stakes R&D environment with a focus on future-tech solutions.
Proven experience (5+ years) in machine learning, deep learning, or reinforcement learning.
Proficiency in Python, C++, and frameworks like TensorFlow or PyTorch.
Strong understanding of operating systems, embedded systems, and sensor fusion.
Excellent problem-solving skills with a track record of delivering complex, large-scale technical projects.
Ability to thrive in a fast-paced, high-stakes R&D environment with a focus on future-tech solutions.