Join Daedalean, a Zürich-based startup revolutionizing air travel. Experience a dynamic and innovative work environment with great benefits.

Tasks

• Design and maintain tools for ML development and infrastructure.
• Collaborate with teams to optimize neural network processes and pipelines.
• Manage large datasets for video/image processing and storage solutions., As a ML company we produce and utilize large amounts of aerial video data that we need to store, process and make useful for our teams globally.

You will be a part of the ML team designing, implementing and maintaining tools and infrastructure to support our ML development environment. These have to be efficient, scalable, reliable and adhere to very specific requirements dictated by our certification efforts whilst maintaining the necessary flexibility for the ML development. At Daedalean, we support both on-premise as well as cloud-based compute clusters.

The work spans building web APIs, Kubernetes workflows, databases, storage and in-house tools written in Rust, C++, Python or Golang, as well as deploying and maintaining 3rd party software tools. You will collaborate with our ML Development, Data Management and Data Annotation teams, making sure they have everything they need to work smoothly.

With the support of these teams you will take ownership of capabilities such as flight test recording processing, annotation tooling pipelines, neural network optimization algorithms, inference platforms and configuration management and inventory. \n

• Proven coding experience in C++ or Rust; Python is a plus.
• Familiarity with cloud platforms like AWS, Azure, or GCP.
• Knowledge of containerization tools such as Kubernetes and Docker., * You get things done and have:
• Proven track record of coding in C++ and/or Rust (Python experience is a plus)
• Strong affinity to working with large amounts data, preferably video/images
• A good understanding of neural network experimentation, life cycle management and familiarity with associated tooling, such as Weights & Biases, ClearML, DeterminedAI, Ray, or similar.
• Experience with cloud platforms such as AWS, Azure or GCP and the ML tools and the services they provide
• Familiarity with containerization and orchestration tools such as Argo, Kubernetes, Docker, etc.
• Familiarity and/or interest with web technologies such as web APIs, databases, storage systems, etc.

• A team of experienced engineers and researchers, who joined us from most recognized companies and institutions.
• Difficult and interesting problems to solve.
• Hybrid work setting.
• Gym membership.

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