Autonomy Deep Learning Engineer — Real-Time Vision & Mapping

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

Benefits offered by this job

Competitive base salary

Equity in the form of stock options

Comprehensive benefits packages

Paid vacation time

Sick leave

Holiday pay

401K savings plan

Relocation assistance

Job summary

A leading drone technology company is seeking a Deep Learning Engineer to design and deploy advanced models for computer vision applications. The ideal candidate will have a Master's or Ph.D. in computer science or a related field, alongside hands-on experience in deep learning. This role includes working with large datasets and optimizing models for performance on embedded systems. We offer a competitive salary range of $170,000 - $277,500, along with comprehensive benefits and a commitment to diversity and inclusion.

Qualifications

• Demonstrated hands-on experience designing, training and deploying deep learning models.
• Ability to deliver high quality, well-architected code.
• Strong communication skills and ability to thrive in a technical team environment.

Responsibilities

• Design, implement, and deploy computer vision and multimodal deep learning models.
• Leverage sensor data for data mining, curation, labeling, training and evaluation.
• Refine and optimize models for low-latency on embedded hardware.

Skills

Python

PyTorch

C++

Deep learning models

Computer vision

Communication skills

Education

M.S. or Ph.D. in computer science, electrical engineering or related discipline

Job description

A leading drone technology company is seeking a Deep Learning Engineer to design and deploy advanced models for computer vision applications. The ideal candidate will have a Master's or Ph.D. in computer science or a related field, alongside hands-on experience in deep learning. This role includes working with large datasets and optimizing models for performance on embedded systems. We offer a competitive salary range of $170,000 - $277,500, along with comprehensive benefits and a commitment to diversity and inclusion.