Autonomy Engineer - Deep Learning

Skydio
·
Posted: 
April 14, 2023
·
Other
Job Commitment
Full-time
Job Commitment
Mid Level
Job Function
Dev & Engineering
Salary
N/A
Job Commitment
Full-time
Experience Level
Mid Level
Workplace Type
Other
Job Function

This job is closed

We regret to inform you that the job you were interested in has now been closed. Although this specific position is no longer available, we encourage you to continue exploring other opportunities on our job board.

About the position

About the role: The job overview for this position at Skydio is focused on the development and implementation of deep learning solutions for computer vision problems in real-time on Skydio drones. The role involves working with large datasets, refining and optimizing models for low-latency on embedded hardware, and researching and prototyping new approaches. The ideal candidate should have hands-on experience with deep learning models, data engineering, and ML operations, as well as a strong software engineering foundation. The ability to thrive in a fast-paced, collaborative, small team environment is also important.

Responsibilities

- Design and implement deep learning solutions for computer vision problems on Skydio drones - Curate and engineer datasets for deep learning algorithms - Refine and optimize models for low-latency on embedded hardware - Characterize and quantify the performance of deep learning systems - Research and prototype new approaches - Assist with all aspects of software development when needed - Train and deploy deep learning models - Experience with data engineering and ML Operations for reliable deployment of DL models - Solid software engineering foundation and commitment to writing clean, well-architected code - Prototype, train, optimize, and deploy deep neural networks - Read and contextualize scientific papers and literature in computer vision - Thrive in a fast-paced, collaborative, small team environment

Requirements

- Demonstrated hands-on experience training and deploying deep learning models - Experience with data engineering and ML Operations for reliable deployment of DL models - Solid software engineering foundation and commitment to writing clean, well-architected code (in Python or C++, preferably both) - Real experience prototyping, training, optimizing, and deploying deep neural networks - Ability to read and contextualize scientific papers and literature in computer vision - Ability to thrive in a fast paced, collaborative, small team environment - Master's Degree with a minimum of 2 years of industry experience or a Ph.D. in Electrical Engineering, Computer Science or related discipline

Benefits

- Annual base salary range of $150,000 - $215,000 - Eligibility to enroll in benefit plans - Variety of incentives and stipends available - Commitment to diversity and inclusion - Multidisciplinary environment that embraces diverse perspectives - No discrimination based on race, color, ethnicity, national origin, citizenship, gender, age, religion, disability status, sexual orientation, marital status, medical condition, genetic information, veteran, military or family status - Use of E-Verify to confirm employment eligibility (for positions in the United States)

Job Application Resources

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Skydio

Skydio uses artificial intelligence to create flying drones that are used by consumer, enterprise, and government customers.
Location
Redwood City, CA
Company Size
501-1,000
Workplace Type
Industries
Artificial Intelligence
Drones
Machine Learning
Robotics
Consumer Electronics
Data and Analytics
Hardware
Science and Engineering
Software
Open Roles
11
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Skydio

Skydio uses artificial intelligence to create flying drones that are used by consumer, enterprise, and government customers.
Company Overview

Skydio uses artificial intelligence to create flying drones that are used by consumer, enterprise, and government customers.

Benefits
  • Competitive annual base salary ranges
  • Eligibility to enroll in Skydio's benefit plans
  • Variety of incentives and stipends
  • Commitment to diversity and inclusion
  • E-Verify for employment eligibility verification in the United States
Less details

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