Machine Learning Engineer

Role Description
 

We are looking for a full-time on-site Machine Learning Engineer at AQL Robotics’ labs in Tampere. You will work closely with cross-functional teams of roboticists, mechanical designers, and software engineers to develop next-generation, AI driven robotic systems. This role involves building and refining ML models that enhance perception, control, and decision-making in robots. You will leverage simulation environments, synthetic data generation, and reinforcement learning techniques to improve performance, reliability, and adaptability of our robotics platforms.

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Key Responsibilities
 

• Design and implement machine learning algorithms for robotics applications, including but not limited to reinforcement learning, sensor fusion, and computer vision

• Develop simulation and synthetic data generation pipelines to accelerate AI model training and validation

• Collaborate with mechanical engineering teams to integrate AI models with robotic control systems

• Deploy and optimize models on embedded hardware for real-time performance

• Assist in building robust testing and validation frameworks for both software-in-the-loop and hardware-in-the-loop simulations

• Contribute to research and development efforts to keep AQL Robotics at the cutting edge of autonomous systems
   

Qualifications
 

• Strong understanding of fundamental machine learning concepts and algorithms

• Hands-on experience with reinforcement learning, simulation environments, and synthetic data generation

• Solid background in robotics, control theory, or related fields

• Proficiency in programming (e.g., Python, C++) and ML frameworks (e.g., TensorFlow, PyTorch)

• Experience with CAD tools or mechanical engineering principles is a strong plus

• Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field

• Ability to work in a fast-paced environment and take ownership of projects

• Excellent problem-solving, collaboration, and communication skills
   

Why Join Us

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• Opportunity to shape the future of accessible, AI-driven robotics

• Work in a collaborative environment with a team of passionate engineers and researchers

• Competitive compensation and benefits