Autonomy ML Infra Engineer — Scalable DL Pipelines & Equity

Skydio Inc.; San Mateo (CA); On-site; USD 170,000 - 277,500; Full time

Benefits offered by this job

Equity in the form of stock options

Comprehensive benefits package

Relocation assistance may be provided

Job summary

Skydio Inc. in San Mateo, California is looking for a Deep Learning Infrastructure Engineer to build and scale their AI training infrastructure. The role involves designing data pipelines, building tools for ML systems, and optimizing deep learning workflows. Candidates should have experience with data engineering, cloud-based platforms, and ML management, alongside strong communication skills. Competitive salary from $170,000 to $277,500, equity benefits, and a comprehensive benefits package available.

Qualifications

• Hands-on experience with data engineering and building large-scale data processing pipelines.
• Experience managing ML pipelines including data preparation, model training, deployment, and monitoring.
• Strong communication skills and the ability to collaborate effectively.

Responsibilities

• Design and implement scalable data pipelines and annotation workflows.
• Build tools leveraging state-of-the-art ML systems for data exploration.
• Optimize and scale deep learning training workflows.

Skills

Data engineering

Cloud-based ML platforms

Containerization technologies

ML Ops platforms

Communication skills

Security and compliance in ML

Job description

Skydio Inc. in San Mateo, California is looking for a Deep Learning Infrastructure Engineer to build and scale their AI training infrastructure. The role involves designing data pipelines, building tools for ML systems, and optimizing deep learning workflows. Candidates should have experience with data engineering, cloud-based platforms, and ML management, alongside strong communication skills. Competitive salary from $170,000 to $277,500, equity benefits, and a comprehensive benefits package available.