Robot Perception and Machine Learning Engineer for Autonomous Mobile Robots

Role Overview

Join our team to develop and refine perception models that empower autonomous mobile robots. Your focus will encompass object detection, obstacle classification, and free-space estimation to enhance robotic navigation.

Key Responsibilities

• Create and enhance perception algorithms for autonomous vehicles to detect and classify objects and estimate free space.
• Champion a data-centric machine learning workflow by automating labeling, utilizing fleet data, and bridging the sim-to-real gap using synthetic datasets and simulation-based assessments.
• Take full ownership of evaluating model performance by defining benchmarks, monitoring key metrics, and iteratively improving outcomes on real-world and standardized tests.
• Integrate and test perception models within a ROS-based software stack to ensure dependable operation on physical robotic platforms.
• Collaborate closely with cross-disciplinary teams including navigation, control, and fleet software to deliver robust perception capabilities enabling autonomous functionality.

Candidate Requirements

• Between 2 and 5 years of practical experience in robotics perception, computer vision, or machine learning domains.
• Proficiency in Python programming, with additional C++ experience viewed as beneficial.
• Hands-on experience training and evaluating neural networks, preferably with PyTorch or similar frameworks, emphasizing model enhancement through data-centric strategies.
• Experience managing synthetic data, simulations for machine learning, automated labeling, active learning methods, or domain adaptation approaches.
• A systematic and thorough approach to model evaluation with a solid grasp on measuring performance in real-world applications.
• Familiarity working in ROS and Linux-based development environments.
• A practical engineering mindset oriented around deploying, measuring, and iterating on solutions.

What We Offer

• Access to pioneering robotics technology that enables navigation and manipulation in unstructured environments without guides or rails.
• A diverse, international team comprised of professionals from over 25 nationalities, fostering collaboration, humility, and hard work.
• A culture encouraging individuality and innovation, welcoming failures as learning opportunities.
• A modern loft-style office located near Hirschgarten S-Bahn station featuring well-equipped workspaces, a dedicated workshop, and a robot testing area.
• Complimentary freshly cooked lunches prepared daily by a French chef, alongside a stocked fridge with beverages, fresh fruits, and coffee.
• A flexible hybrid work model supporting a balanced lifestyle when physical presence is not mandatory.
• Comprehensive benefits including generous holiday allowances, Wellpass health perks, healthcare coverage, and competitive compensation packages.

Additional Information

At Jungheinrich Robotics, we prioritize inclusivity and equal opportunity for all applicants regardless of gender, ethnicity, age, nationality, sexual orientation, culture, or education. We are committed to providing reasonable accommodations during the recruitment process; please reach out to discuss any needs you may have.