Applied Scientist (Robotics)

TL;DR

Applied Scientist (Robotics): Researching and implementing computer vision and decision-making algorithms for robotic systems with an accent on ML model training and real-time deployment. Focus on bridging the gap between academic research and production-level robotic applications.

Location: Berlin, Germany

Company

hirify.global Robotics is a division of hirify.global focused on designing and delivering end-to-end robotic systems and core infrastructure for large-scale deployment.

What you will do

• Research, design, and evaluate complex computer vision and decision-making algorithms leveraging machine learning.
• Develop prototypes and experiments for new learning algorithms and prediction techniques.
• Collaborate with software engineering teams to drive scalable, real-time implementations.
• Work with hardware engineering on system development from prototyping to production level.
• Represent the company in the academic community through publications and scientific presentations.
• Iterate on system design and implementation with stakeholders across science and operations teams.

Requirements

• PhD in Computer Science, Machine Learning, Robotics, Statistics, Mathematics, or a related quantitative field.
• Proven experience publishing at major robotics and AI conferences (e.g., CVPR, NIPS, ICRA, RSS) or journals.
• Proficiency in Python, C++, Java, or related programming languages.
• Experience delivering customer-facing results with computer vision models and ML training pipelines.
• Must be based in or have the right to work in Berlin, Germany.

Nice to have

• PhD research experience specifically in robotic computer vision or motion planning/control.
• Knowledge of sensors, real-time systems, embedded systems, or distributed systems.
• Experience with interdisciplinary hardware, software, and algorithm co-design.
• Demonstrated ability to productionize new technology from idea generation to implementation.

Culture & Benefits

• Inclusive culture that empowers employees to deliver best results for customers.
• Commitment to diversity and equal opportunity employment.
• Focus on invention, simplification, and building.
• Strong emphasis on data privacy and security for all candidates and employees.