Mentee Robotics is redefining humanoid automation with an AI-first approach, integrating cutting-edge perception, reasoning, and dexterous manipulation into a fully autonomous humanoid robot that continuously adapts and learns. Our flagship product, Menteebot v3, is designed to seamlessly integrate into industrial, logistics, and retail environments, performing complex tasks with human-like adaptability.

We are looking for an experienced Deep Learning Engineer to build the foundational infrastructure for training, simulation integration, deployment, and optimization of deep learning models that power Menteebot's intelligence.

Requirements:

• B.Sc. in Computer Science, Engineering, or a related field.
• 5+ years of hands-on experience in software engineering or machine learning infrastructure.
• Proven experience building and scaling deep learning pipelines — beyond just using existing ones.
• Comfortable working in cloud and distributed environments (e.g., AWS, SLURM).
• Proficient with PyTorch and widely-used ML tools and frameworks.
• Demonstrated systems thinking and a strong builder mindset.