Autonomy ML Infra Engineer: Scalable DL Pipelines

Skydio Inc.; Zürich; On-site; CHF 90,000 - 130,000; Full time

Job summary

Skydio Inc. in Zürich seeks a Deep Learning Infrastructure Engineer to support AI training efforts and build scalable data pipelines. Your role will involve optimizing deep learning workflows and collaborating with autonomy and cloud teams to drive innovation.

The ideal candidate has experience with data engineering, cloud-based ML platforms, and model training. Strong communication skills will enhance collaboration across technical teams.

Qualifications

• Demonstrated experience with data engineering and building efficient data processing pipelines.
• Hands-on experience with cloud-based ML platforms and containerization technologies.
• Understanding of security and compliance requirements in ML infrastructure.

Responsibilities

• Design and implement scalable, extensible data pipelines and annotation workflows.
• Build tools for data exploration and curation across Skydio drones.
• Optimize and scale deep learning training workflows.

Skills

Data engineering

Building large-scale data processing pipelines

Cloud-based ML platforms

Containerization technologies

ML Ops platforms

Security and compliance requirements

Model training and deployment

Strong communication skills

Job description

Skydio Inc. in Zürich seeks a Deep Learning Infrastructure Engineer to support AI training efforts and build scalable data pipelines. Your role will involve optimizing deep learning workflows and collaborating with autonomy and cloud teams to drive innovation.

The ideal candidate has experience with data engineering, cloud-based ML platforms, and model training. Strong communication skills will enhance collaboration across technical teams.