• Bring content of scientific papers into promising, scalable ML algorithms; and translate these into high-performing and robust scientific code • Lead the ideation, benchmarking, and execution of complex datasets and ML models, ensuring seamless integration into our large-scale simulation frameworks. • Implement advanced software and hardware optimizations to maximize the efficiency of ML pipelines across distributed cloud GPU environments. • Drive software through the entire product lifecycle—from foundational research and implementation to launch and long-term support—ensuring technical excellence at every stage.

• Explore biometric products and research focus areas, including palm-based use cases, face morphing detection, and revocable biometrics • Propose approaches to ambiguous problems and validate them through research and experimentation • Build proof of concepts that help teams and leaders make informed technical and product decisions • Collaborate with Software Engineers who package prototypes into demos, while owning the ML core, evaluation logic, and research outcomes • Own end-to-end exploration streams, from idea framing to demo delivery • Influence which research directions become strategic bets for Innovatrics • Take on technical leadership on selected initiatives, including mentoring and setting standards for ML experimentation and quality

🚀 Why This Job Is Exciting At Innovatrics, we equip you with the tools, context, and trust to thrive. Our opportunity-driven roadmap highlights how you can grow, contribute, and make a meaningful impact throughout your journey with us. We’re hiring for our Innovation team, which explores new biometric ideas and turns validated concepts into production-ready algorithms. In your first months, you’ll explore... - Our biometric products and research focus areas, including palm-based use cases, face morphing detection, and revocable biometrics - How the Innovation team operates, what defines a valuable proof of concept, and how ideas move from exploration to internal adoption - Existing prototypes, datasets, evaluation approaches, and the constraints that shape applied research work, including limited or imperfect data As you settle into the role, you’ll start contributing by... - Proposing approaches to ambiguous problems and validating them through research and experimentation - Building proof of concepts that help teams and leaders make informed technical and product decisions - Collaborating with Software Engineers who package prototypes into demos, while you own the ML core, evaluation logic, and research outcomes Within your first year, you’ll have the opportunity to... - Own end-to-end exploration streams, from idea framing to demo delivery - Influence which research directions become strategic bets for Innovatrics - Take on technical leadership on selected initiatives, including mentoring and setting standards for ML experimentation and quality 🧠 What You’ll Help Build At Innovatrics, we build biometric technologies for elections, border control, digital ID, and secure onboarding in 80+ countries. Our algorithms have reached over a billion people. Your work here won’t get lost in a backlog. It will shape real-world systems that matter. We’re a small team, so ideas move fast-from concept to demo in short cycles. Join us if you’re motivated by applied research, practical experimentation, and solving problems where the solution isn’t obvious from the start. 🌍 Working Hours & Location We prefer candidates based in Bratislava or Brno, where our core R&D teams are located. We are also open to Europe-based candidates, with the expectation of regular travel to HQ. What this means in practice: roughly 15–20% onsite, typically clustered around demos or close collaboration phases.

🚀 Why This Job Is Exciting At Innovatrics, we equip you with the tools, context, and trust to thrive. Our opportunity-driven roadmap highlights how you can grow, contribute, and make a meaningful impact throughout your journey with us. We’re hiring for our Innovation team, which explores new biometric ideas and turns validated concepts into production-ready algorithms. In your first months, you’ll explore... - Our biometric products and research focus areas, including palm-based use cases, face morphing detection, and revocable biometrics - How the Innovation team operates, what defines a valuable proof of concept, and how ideas move from exploration to internal adoption - Existing prototypes, datasets, evaluation approaches, and the constraints that shape applied research work, including limited or imperfect data As you settle into the role, you’ll start contributing by... - Proposing approaches to ambiguous problems and validating them through research and experimentation - Building proof of concepts that help teams and leaders make informed technical and product decisions - Collaborating with Software Engineers who package prototypes into demos, while you own the ML core, evaluation logic, and research outcomes Within your first year, you’ll have the opportunity to... - Own end-to-end exploration streams, from idea framing to demo delivery - Influence which research directions become strategic bets for Innovatrics - Take on technical leadership on selected initiatives, including mentoring and setting standards for ML experimentation and quality 🧠 What You’ll Help Build At Innovatrics, we build biometric technologies for elections, border control, digital ID, and secure onboarding in 80+ countries. Our algorithms have reached over a billion people. Your work here won’t get lost in a backlog. It will shape real-world systems that matter. We’re a small team, so ideas move fast-from concept to demo in short cycles. Join us if you’re motivated by applied research, practical experimentation, and solving problems where the solution isn’t obvious from the start. 🌍 Working Hours & Location We prefer candidates based in Bratislava or Brno, where our core R&D teams are located. We are also open to Europe-based candidates, with the expectation of regular travel to HQ. What this means in practice: roughly 15–20% onsite, typically clustered around demos or close collaboration phases.