Autonomy ML/DL Infra Engineer - Equity & Pipelines

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

Benefits offered by this job

Stock options

Group health insurance

Paid vacation time

401(k) savings plan

Job summary

Skydio in San Mateo, CA is seeking a Deep Learning Infrastructure Engineer to build and scale the infrastructure supporting AI training efforts. Responsibilities include designing data pipelines, optimizing ML workflows, and collaborating with cross-functional teams. The ideal candidate has extensive experience in data engineering, cloud-based ML platforms, and excellent communication skills. Compensation ranges from $170k to $277.5k annually, with equity options and comprehensive benefits.

Qualifications

• Hands-on experience building large-scale data processing pipelines.
• Experience with cloud-based ML platforms and containerization technologies.
• Ability to manage ML pipelines including data preparation and model deployment.

Responsibilities

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

Skills

Data engineering

Cloud-based ML platforms

Containerization technologies

ML Ops platforms

Data processing pipelines

Communication

Job description

Skydio in San Mateo, CA is seeking a Deep Learning Infrastructure Engineer to build and scale the infrastructure supporting AI training efforts. Responsibilities include designing data pipelines, optimizing ML workflows, and collaborating with cross-functional teams. The ideal candidate has extensive experience in data engineering, cloud-based ML platforms, and excellent communication skills. Compensation ranges from $170k to $277.5k annually, with equity options and comprehensive benefits.