Machine Learning Engineer (Robotics & Computer Vision)

Location: Remote / PL

Stage: Early-stage startup

Product: Robotics automation solutions

We are looking for a Senior Machine Learning Engineer (Robotics & Computer Vision) to join the technical team of a startup building cutting-edge automation solutions. Working closely with the CTO & Co-founder, you will own the product's ML core and shape its technical direction as the company scales.

To be clear: This is a highly hands-on role, not a corporate, LLM-wrapper, or prompt-engineering position.

We are looking for an ML/Deep Learning/Vision practitioner with a strong mathematical background who writes custom training loops, designs architectures (PyTorch/TensorFlow), and optimizes models for edge inference. As a primary builder from day one, your mission is to train deep learning models from scratch, develop robust computer vision pipelines, and integrate these capabilities into a commercially viable, physical robotics product within a high-performing engineering culture.

• Owning the AI/ML/Vision core of the product, working closely with the CTO & Co-founder to align it with the overall technical strategy,
• Writing custom training loops, designing and implementing neural network architectures (e.g., in PyTorch), and managing the end-to-end lifecycle from raw data processing to edge deployment,
• Building the AI/ML/Vision components of the MVP (managing the end-to-end AI/ML model lifecycle, from architecture design to training and fine-tuning and - where relevant - hardware control interfaces),
• Proposing and helping define the AI/ML stack and model architecture,
• Monitoring AI, computer vision, and robotics trends to maintain a competitive technological edge,
• Working closely with the CTO and, as the team grows, mentoring engineers joining the AI/ML function,
• Translating customer feedback and market needs into robust AI/ML technical requirements,
• Contributing to an internal culture focused on code quality, ownership, rapid iteration, and high execution standards.

• Experience with hardware control/integration of AI models with physical systems (robotics, embedded systems, IoT),
• Experience with robotics technologies (ROS/ROS2, simulation environments, control systems),
• Experience in robotics automation platforms, cloud-edge architecture, or industrial automation,
• Background in deep-tech, robotics, or engineering-driven startups,
• Prior leadership experience (Lead Engineer, Tech Lead) is a plus, though not required.

Red Sky is conducting this recruitment process. The cooperation concerns a newly established start-up.

Recruitment process