Machine learning állás, munka

As a research engineer, you will be at the forefront of pioneering system design, with the responsibility to architect, develop, and deploy sophisticated AI systems that seamlessly integrate reinforcement learning with agentic AI systems and multi-modal foundation models....

As a Research Engineer, you will develop cutting-edge Vision-Language-Action (VLA) architectures that empower AI agents to interpret human instructions and act autonomously in complex environments....

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every...

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploringthe benef world models for solving business problems.
• Execute scientific experiments on internal as well as public data.

• Experience engineering management firsthand: from team rituals to strategic planning
• Build and evaluate AI tools that support leadership and operational tasks
• Improve data-driven approaches to organizational decisions
• Contribute your ideas in team meetings where they'll have a real impact

• Build Fullstack Features: Implement user-facing features using modern frameworks and connect them to backend APIs.
• Backend Development: Contribute to Python-based backend services (Django REST or FastAPI), including API endpoints and business logic.

• Use your in-depth networking knowledge to shape, build and maintain the networking underneath for thousands of managed Kubernetes clusters on various cloud providers.
• Design and develop solutions for networking problems within Kubernetes clusters and around them.

Own the SDK architecture. Technical direction for a library built on numerical algorithms and solver logic. Module boundaries, interface contracts, versioning. Drive key decisions through our RFC process....

• Develop and operate Java microservices that power Adobe's cloud platform, supporting a large global audience
• Improve the performance, reliability, and security of services your team owns end-to-end

You build and maintain end-to-end ML pipelines using workflow orchestration tools: from data ingestion to distributed training, evaluation, model compilation, and deployment-ready artefacts....

Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, solving complex distributed systems challenges at scale: multi-region networking, container orchestration, storage systems, and the APIs that...

Set up and integration of complex robotic systems for mobile manipulation tasks...

Use your Kubernetes and Go expertise to contribute to Gardener's core components – the foundational building blocks that enable Gardener to manage thousands of Kubernetes clusters across various cloud providers....

• 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

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...

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

Deliver end-to-end Hardware/Software solutions bridging the gap between the world and our accelerators. Build and operate real-time, distributed compute frameworks and runtimes to deliver planet-scale inference for LLMs and advanced AI applications at ultra-low latency, optimized for heterogeneous...