Swiss-Mile Robotics AG is a deep-tech startup dedicated to delivering cutting-edge solutions for monitoring, security and logistics. We stand at the forefront of revolutionizing labor-intensive processes by connecting artificial intelligence with the physical world through autonomous robots. We are seeking highly motivated, self-driven individuals with expertise in semantic scene understanding, robot navigation, as well as deep learning, including supervised and self-supervised learning. Become a valuable member of our innovative team, recognized for its innovation in deploying neural networks on actual robotic machines to enhance environmental understanding and decision-making. With a rich research history at ETH Zurich, marked by state-of-the-art publications, we are pushing the boundaries of artificial intelligence in the real world. We are seeking a Senior AI Engineer to spearhead the expansion of our engineering team. As we tackle real-world challenges, your leadership will be crucial in harnessing the power of both simulated and real-world data. If you're passionate about advancing the field of AI and ready to contribute to groundbreaking solutions, join us in shaping the future of intelligent robotics.
Responsibilities
Lead and mentor a team of engineers in developing and implementing AI and (self-)supervised learning solutions for real-world robotics applications.
Investigate and implement foundational models for scalable scene understanding and high-level decision making.
Contribute to the design, optimization, and deployment of neural networks on physical robotics platforms to enhance their environmental understanding, decision-making and autonomy.
Collaborate with cross-functional teams to integrate AI solutions into robotics systems, ensuring seamless functionality and performance.
Tailor and refine algorithms to align with the specific needs and requirements of clients, ensuring the successful integration of AI solutions into real-world use cases.
Stay up-to-date of the latest advancements in foundational AI models and deep learning, incorporating cutting-edge techniques into the development process.
Utilize a combination of simulated and real-world data to train neural networks for semantic scene understanding, actively engaging in the continuous improvement of our platform
Provide technical expertise to guide strategic decision-making and project planning.
Contribute to the development of documentation, guidelines, and best practices to ensure effective knowledge transfer within the engineering team.
Actively participate in code reviews and contribute to the continuous improvement of coding standards and development processes.
Qualifications
Bachelor's degree or higher in a relevant field, including but not limited to engineering, robotics, or machine learning.
A minimum of 5+ years of industry or research experience (PhD counts), demonstrating a strong foundation in practical applications, demonstrating a track record of successful AI developments.
Deep technical expertise in semantic scene understanding, neural network architectures, robot decision-making, supervised learning, self-supervised learning, etc.
Strong understanding of foundational AI models, with the ability to quickly grasp and apply new techniques to real-world problems.
Strong leadership and team management skills, with the ability to motivate and inspire engineering teams.
Excellent analytical capabilities.
Strong communication skills, encompassing written and verbal, and visual mediums, to articulate ideas clearly.
Bonus
Experience in the robotics industry.
Master's degree and PhD.
Experience in managing a software team.
Interested candidates should submit their resume and cover letter. Share your previous successes in machine learning and your strategy for growing a team of AI engineers. We are looking forward to receive your application.
