In this role, you'll have the opportunity to directly impact the industry's evolution, working on the core of our platform: the agent's operating system. As a senior member of the broker productivity squad on our engineering team, you’ll work to ensure our technical platform continues to meet the needs of our rapidly growing customer base. This will involve maintenance of our industry-leading web based broker platform.

This individual will have a passion for cloud computing, open-source technologies, and enjoys working in an environment where every project requires a best-of-breed solution. Our engineers work on implementing cloud solutions that solve real-world problems and deliver value to our long-term clients and are encouraged to leverage the most cutting-edge cloud platforms and automation tools available.

We are seeking an Applied Machine Learning Engineer with a strong focus on practical solutions and software development. In this role, you'll leverage off-the-shelf tools and custom-built ML models to solve challenges in music product development and improve manual music processes. This position is ideal for engineers with demonstrable experience building functional, production-ready models and who are passionate about user experience and Product.

We are seeking a seasoned Full stack Software Engineer to join our growing AI team, focused on enabling powerful, intuitive AI interactions with language models. This role is an exciting opportunity to work on cutting-edge internal tools that empower our engineers and accelerate innovation across the company. You’ll play a key role in building AI-driven features, developing connectors for AI agents to interact with dbt models, and creating AI-compatible software systems that automate and enhance workflows.

Help train generative artificial intelligence models by crafting and answering questions related to computer science to help train AI models. Evaluate and rank code generated by AI models working with one or more of the following languages: Java, Python, JavaScript/TypeScript, C++, Swift, and Verilog. Articulate complex concepts fluently in Norwegian with excellent attention to detail.

Join Quilter as a Senior Full Stack Engineer and help build the core software behind the future of circuit board design. You will work across the stack, crafting intuitive frontends in React and building performant services in Python and Docker. This role is ideal for someone who thrives in high-ownership environments and loves solving complex technical problems.

As a Machine Learning Engineer within the Data Acquisition Team, you will play a critical role in bringing your ML expertise to Zus. You will be responsible for using your prior experience with large language models (LLMs) and MLOps to develop, deploy, and optimize solutions in collaboration with DA software engineering. You will conduct research to explore new methodologies and techniques, and integrating them into our product offerings.

As a Software Engineering Specialist on the Human Data team, you will be responsible for creating cutting-edge data to facilitate the training of large language models. Collaborating closely with technical staff, you will contribute to datasets for model training, benchmarking, and overall advancement. The Software Engineering Specialist - Human Data role is a full-time remote position.

We are looking for an exceptional Software Engineer to work with our cross-functional team and join our world-class community of talented developers in the exciting field of information technology. The Core Networks & First Line Maintenance (T-CNF) unit is responsible for the core network. You will develop solutions to automatically extract information from floor and building plans using Machine Learning and rule-based image recognition approaches. You will collaborate closely with Data Scientists, Software and DevOps engineers.

Seeking a Senior Engineer to lead the development of AI-driven lab workflow solutions, enhancing efficiency, automation, and user experience in high-throughput lab environments. Focusing on AI-powered task list generation, intuitive workflow guidance, and intelligent decision support systems to improve lab operations. As part of our Engineering Team, you will work closely with Product Managers, Designers, and Lab Stakeholders to design and implement AI-driven applications.