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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI/ML and Computer Vision, with a strong focus on building and deploying deep learning models in robotics automation. Proficient in translating market needs into technical requirements while mentoring engineering teams in a fast-paced environment.
Highest-signal resume keywords
Deep Learning ExperienceComputer Vision Systems EngineeringPyTorch ProficiencyCustom Data Loaders and Loss FunctionsRobotics Automation Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Deep LearningComputer VisionNeural Network ArchitectureCustom Training LoopsCNNsViTsObject DetectionSegmentationAI/ML Model DeploymentData Processing
Soft Skills
Analytical ThinkingMentoringAdaptability
Tools & Technologies
PyTorchROSROS2Simulation EnvironmentsControl Systems
Industry Keywords
Robotics AutomationIndustrial AutomationCloud-Edge ArchitectureEmbedded SystemsIoT
Tech Stack
Tools & technologiesCloudIoTPyTorch
About the role
Key responsibilities & impact- Own the AI/ML/Vision core of the robotics automation product
- Work closely with the CTO and Co-founder to align ML capabilities with the technical strategy
- Write custom training loops and design and implement neural network architectures
- Manage the end-to-end lifecycle from raw data processing through training, fine-tuning, and edge deployment
- Build AI/ML/Vision components of the MVP
- Define the AI/ML stack and model architecture
- Monitor AI, computer vision, and robotics trends
- Mentor engineers joining the AI/ML function as the team grows
- Translate customer feedback and market needs into robust AI/ML technical requirements
- Contribute to code quality, ownership, rapid iteration, and high execution standards
- Integrate AI capabilities into a commercially viable physical robotics product
Requirements
What you’ll need- 3+ years of end-to-end Deep Learning experience
- Proven track record of engineering advanced Computer Vision systems within the industrial automation sector
- Deep understanding of modern deep learning tools, with PyTorch preferred
- Experience writing custom data loaders and loss functions
- Hands-on experience with CNNs, ViTs, object detection, and segmentation
- Proven track record of building and shipping ML components in real, production-ready products
- Pragmatic, analytical, and comfortable in fast-paced, high-uncertainty startup environments
- Fluent Polish and English, spoken and written
- Experience with hardware control/integration of AI models with physical systems, robotics, embedded systems, or IoT is nice to have
- Experience with ROS/ROS2, simulation environments, and control systems is nice to have
- Experience in robotics automation platforms, cloud-edge architecture, or industrial automation is nice to have
- Background in deep-tech, robotics, or engineering-driven startups is nice to have
- Prior leadership experience is a plus, though not required
- Legal permission to work in the EU
Benefits
Comp & perks- 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
- Key technical role with real influence over the AI/ML direction of the product
- Opportunity to build the AI/ML core of a robotics startup from scratch