Autonomy DL Infra Engineer - Scale Vision AI

Skydio; San Mateo (CA); On-site; USD 170,000 - 236,500; Full time

Benefits offered by this job

Stock options

Comprehensive health insurance

Paid vacation and sick leave

401K savings plan

Job summary

A leading drone technology company in California seeks a Deep Learning Infrastructure Engineer to build and scale infrastructure for their AI initiatives. The role requires hands-on experience with MLOps and optimization techniques to enhance model performance. You will work cross-functionally to develop end-to-end solutions for high-performance deep learning and contribute to advancing the company's autonomous systems. Competitive compensation ranging from $170,000 to $236,500, with comprehensive benefits are offered.

Qualifications

• Hands-on experience with MLOps and edge deployment.
• Strong knowledge of deep learning fundamentals and models.
• Experience building ML pipelines for vision tasks.

Responsibilities

• Develop solutions for high-performance deep learning inference.
• Profile models to analyze performance and optimize efficiency.
• Design and implement MLOps workflows for model handling.

Skills

MLOps

Deep Learning Inference Optimization

Computer Vision

Machine Learning Pipelines

Tools

TensorFlow

PyTorch

scikit-learn

Job description

A leading drone technology company in California seeks a Deep Learning Infrastructure Engineer to build and scale infrastructure for their AI initiatives. The role requires hands-on experience with MLOps and optimization techniques to enhance model performance. You will work cross-functionally to develop end-to-end solutions for high-performance deep learning and contribute to advancing the company's autonomous systems. Competitive compensation ranging from $170,000 to $236,500, with comprehensive benefits are offered.