Applied AI Engineer
✨ AI Summary
mimic, an early-stage deep tech robotics and AI startup in Zurich backed by leading VCs, is hiring an Applied AI Engineer to bridge AI research and real-world customer applications for dexterous robotic hands. You will own model training, evaluation, and deployment, and build scalable tooling and workflows. Tech stack: Python, PyTorch, modern ML frameworks. Requires a Bachelor's or Master's in CS/AI/Engineering, hands-on AI/ML experience, and strong software engineering skills; nice-to-have includes deploying AI on robotic hardware and industrial customer experience. Compensation includes a competitive base salary and strong stock options, with flat hierarchies and direct work with founders.
- Apply existing AI methods and training recipes to new customer tasks and robotic applications
- Own model training runs, evaluation, and iteration to improve performance
- Monitor training data quality, coverage, and collection progress
- Develop tooling and workflows around existing AI models to make training, deployment, monitoring, and continuous improvement more scalable
- Translate learnings from customer projects into requirements and improvements for our AI capabilities and product workflows
- Understand the capabilities and limitations of our robotic systems and help assess the technical feasibility of new customer tasks
- Collaborate with AI, robotics, product, and commercial teams to take new applications from initial concept to reliable operation
- Bachelor's or Master's degree in Computer Science, AI, Engineering, or a related technical field
- Strong software engineering skills and proficiency in Python
- Hands-on experience working with AI/ML systems, including model training, evaluation, data pipelines, or deployment
- Experience with modern ML frameworks such as PyTorch
- Ability to understand existing AI methods and codebases and apply them effectively to new problems
- Strong understanding of the relationship between training data, model performance, evaluation, and iteration
- Ability to build practical tooling and workflows around AI models rather than only developing models in isolation
- Strong ownership and ability to independently drive technical work from problem definition through implementation
- Comfortable working in a fast-moving environment where problems span AI, software, robotics, and real-world operations
- Strong communication skills in English
- Familiarity deploying AI models on real robotic hardware
- Experience working directly with industrial customers (e.g. automotive, logistics, manufacturing) and operating in production environments
About the Company
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