LEAD MACHINE LEARNING ENGINEER (ROBOTICS & COMPUTER VISION)

Location: Remote / EU Stage: Early-stage startup Product: Robotics automation platform About the role We are looking for a Lead Machine Learning Engineer (Robotics & Computer Vision) to join the founding technical team of a startup building a cutting-edge automation platform. 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 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. Your responsibilities • Owning the AI/ML 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 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. Who we are looking for (must-have) • 3+ years of end-to-end Deep Learning experience: From data processing and architecture design to training models from scratch and deep fine-tuning (no API prompting). • Advanced framework proficiency: Deep understanding of modern DL tools (PyTorch preferred), including writing custom data loaders and loss functions. • Computer Vision expertise: Hands-on background with CNNs, ViTs, object detection, and segmentation. • Solid software engineering foundation: Proven track record of building and shipping ML components in real, production-ready products. • Startup mindset: Pragmatic, analytical, and comfortable in fast-paced, high-uncertainty environments where rapid execution beats over-engineered code. • Language skills: Fluent Polish and English (spoken and written). Nice to have • 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, • Hands-on experience in computer vision, • Prior leadership experience (Lead Engineer, Tech Lead) is a plus, though not required. What we offer • Key technical role in the founding team of a robotics startup, with real influence over the AI/ML direction of the product, • Opportunity to build the AI/ML core of a robotics startup from scratch, • Remuneration: at least PLN 18 000 net B2B + VAT, • Equity/incentive package as the company and role grow, • Support from an experienced startup studio and capital group, • Access to industry experts and startup-building know-how, • Fast decision-making and a high-impact environment. Red Sky is conducting this recruitment process. The cooperation concerns a newly established start-up. Recruitment process • Interview with HR (~45 min) • Tech Interview (~ 60 min.) • Interview with the CEO (~30 min) • Interview with the Investor (~45 min) • Workshops (technical & product alignment) • Agreeing on the terms of cooperation (remuneration )