Senior AI Engineer - Perception & Autonomy
Zurich
Software /
Full-Time /
On-site
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.
