Senior AI Engineer – Reinforcement Learning

Overview

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 deep reinforcement learning (deep RL) and 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 locomotion, navigation, and manipulation skills. 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 with extensive experience in reinforcement learning and (self-)supervised learning 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 reinforcement learning and (self-)supervised learning solutions for real-world robotics applications.
• Contribute to the design, optimization, and deployment of neural networks on physical robotics platforms to enhance locomotion, navigation, and manipulation capabilities.
• 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 reinforcement learning and deep learning, incorporating cutting-edge techniques into the development process.
• Utilize a combination of simulated and real-world data to train neural networks, actively engaging in the iterative refinement of algorithms to achieve higher performance and reliability.
• 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 3+ years of industry or research experience, demonstrating a strong foundation in practical applications, demonstrating a track record of successful AI developments.
• Deep technical expertise in reinforcement learning (RL), encompassing Markov Decision Processes (MDPs), neural network architectures, policy optimization algorithms, model-based vs. model-free RL, exploration-exploitation strategies, value function methods, transfer learning, domain adaptation, sim-to-real transfer, etc.
• Proficiency in both supervised and self-supervised learning techniques, showcasing a comprehensive understanding of diverse learning paradigms.
• 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.

In your application, please share your previous successes in reinforcement learning and your strategy for growing a team of AI engineers.

We are looking forward to receive your application

Company:

Swiss-Mile

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Industry, Machine Learning, Neural Networks, NLP, Supervised Learning, Switzerland