Machine learning állás, munka

• Contribute to building and maintaining robust Java microservices that power creative tools
• Explore cloud technologies and dive into AWS infrastructure alongside experienced developers
• Help ensure quality and reliability through testing and providing fresh perspectives on our solutions

Shape engineering strategy with broad organizational impact, influencing long-term architectural direction across multiple teams and products. Drive platform evolution, identifying common pain points and leading scalable, reusable solutions across systems. Engage in deep architectural discussions,...

• An opportunity to build the foundation for next-generation products
• The possibility to conceptualize and implement interaction design and to prototype with new hardware and sensors
• Mentorship by experienced PhD-level experts
• The option to write a Master's thesis following your internship

• Develop and adapt bioinformatics approaches for the analysis of human genomic and epigenomic data sets
• Design and implement analysis workflows for the analysis of long-read whole-genome sequencing and targeted short-read sequencing (hybridization capture, MeDIP-seq) data

BUILD SOFTWARE THAT MATTERS You'll develop industrial software that powers daily operations at Aurubis, our parent company. Your work will have real impact beyond a backlog item. Working fullstack with Kotlin/Spring Boot and TypeScript/React, you'll build features end-to-end while keeping systems...

Take ownership of technical challenges, bringing curiosity and resourcefulness to ambiguous problems. Define and drive the development of complex features ensuring scalability, reliability, and security. Strong product partnership: translating business requirements into clear technical plans,...

Directly impact your team's tech scope: work hand in hand with PM and EM to manage product technical roadmaps and dependencies to minimise technical debt....

• Collaborate with cross-functional teams to define data requirements and ensure data quality
• Participate in monitoring, troubleshooting, and resolving data processing issues

• Build the backbone of Circonomit's technology and develop end-to-end features that deliver immediate value for our customers to map their reality into a semantic and computable model
• Build and refine high-quality, performant user interfaces with TypeScript and Solid.js

Create robust, scalable, and secure microservices that power our SaaS platform for governance Leverage AWS (serverless or migrations) with TypeScript Own services end-to-end (code, deployment, monitoring) Drive architecture discussions Regularly demo to the department Shape AI strategy by leading...

Engineering Leadership: You will be a key part of our Engineering Leadership team, directly contributing to and communicating our Technical Strategy, with a focus on leveraging cutting-edge AI technology....

• Build the backbone of Circonomit's technology and develop end-to-end features that deliver immediate value for our customers to map their reality into a semantic and computable model
• Build and refine high-quality, performant user interfaces with TypeScript and Solid.js

Design, prototype, and refine LLM based features over large document sets Orchestrate multi step, agentic workflows and tool calling (including MCP servers and other integrations) so LLMs can take meaningful actions, not just generate text Define evaluation frameworks, experiments, and metrics to...

• Work closely with Product Management to understand the business needs and find appropriate technical solutions
• Design, own and operate scalable, secure payment systems that handle financial transactions efficiently in a multi‑tenant Cloud/SaaS environment

Design, implement, and operate scalable web applications and services based on Java and Spring – from idea and implementation to deployment, monitoring, and optimisation in production....

• Design, implement and operate scalable .NET backend services from idea and implementation to deployment, monitoring, optimization and production follow-up.
• Break down work into small, shippable pieces, estimate effort and update estimates as scope evolves.