Autonomy Engineer, Skydio
Deep Learning
$170-277.5k
+ A variety of incentives and stipends
Office located in San Mateo, CA
Drone manufacturer
Be an early applicant
Drone manufacturer
501-1000 employees
Be an early applicant
$170-277.5k
+ A variety of incentives and stipends
Office located in San Mateo, CA
501-1000 employees
Company mission
To make the world more productive, creative, and safe with autonomous flight.
Role
Who you are
- If you are excited about real world applications of deep learning and solving difficult problems in computer vision and autonomy, we would love to hear from you
- M.S. or Ph.D. in computer science, electrical engineering or related discipline
- Demonstrated hands-on experience designing, training and deploying deep learning models
- Ability to deliver high quality, well-architected code (Python/PyTorch and preferably, C++)
- Leverage state-of-the-art academic papers and literature for fast iteration
- Ability to thrive in a fast paced, collaborative and highly technical team environment
- Comfortable navigating and delivering within a complex codebase
- Strong communication skills
What the job involves
- We leverage breakthrough AI to create the world's most intelligent flying machines for use by our enterprise, public safety, defense and other customers
- Learning a semantic and geometric understanding of the world from visual data is the core of our autonomy system
- We are pushing the boundaries of what is possible with real-time deep networks to accelerate progress in intelligent aerial robots that can autonomously navigate in unknown environments and deliver operational value to users
- As a Deep Learning Engineer, you will be responsible for training and deploying optimized models to our products for solving challenging problems such as optical flow estimation, stereo depth estimation, object detection, segmentation and tracking, visual place recognition, localization and mapping, few-shot learning, occupancy networks, automated path planning etc
- Design, implement, and deploy computer vision and multimodal deep learning models for Skydio’s autonomy system
- Leverage massive amounts of real world video and other sensor data for data mining, curation, labeling, training and evaluation
- Leverage large scale and diverse synthetic data to power deep learning algorithms
- Leverage state-of-the-art foundation models for knowledge distillation and label efficient learning
- Refine and optimize models for low-latency on embedded hardware
- Develop evaluation benchmarks and metrics to quantify the performance of autonomous systems
- Be a generalist helping out on all aspects of the software when needed
Our take
A leader in autonomous flight, Skydio builds drones that can track and film targets while avoiding obstacles. Its products have a wide range of applications, most notably for businesses that need to undertake inspections in unsafe places. The drones are also valuable to search and rescue efforts, police forces, and the US army.
Backed by a range of top investors and strategic partners (including Andreesen Horowitz, Levitate Capital, and Next 47) Skydio sets itself apart from its competitors by marketing its products predominantly to businesses. With technology such as 3D scanning and a 360-degree superzoom mode, its drones have a wide range of applications and functionality.
The company raised funding in 2023, which has boosted its valuation to over $2 billion. It has since focussed on R&D, developing and launching the X10 model which is designed for first responders and the military, as well as enhancing its remote control and thermal imaging capabilities. As the largest American drone company, there is no reason Skydio shouldn't remain a key industry actor for years to come.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Feb 2023
$230m
SERIES E
Feb 2021
$171m
SERIES D
Total funding: $571m
Company benefits
- Work from home opportunities
Company values
- We consider the holistic impact our products have on communities and countries
- We use our role as a leader in autonomous flight technology to promote the responsible development and use of Artificial Intelligence (AI)
- We proactively promote best practices on the responsible use of our products with our customers
- We engage in policy and regulatory efforts to support laws, policies, and standards aligned with our values
- We engage in a responsible way with public sector customers in the United States and other free societies
- We will not sell our products to repressive regimes
- We will not put weapons on our drones and will oppose fully autonomous lethal weapons systems
- We seek to create connections between our employees and the customers we serve beyond simply providing products and services
- We seek to provide flexibility and freedom for people to choose what they work on
Company HQ
Western Hills, San Mateo, CA
Articles
Leadership
Adam Bry
(CEO)Having studied at MIT, they spent a year and a half at Google as a Software Engineer. They left this position in February 2014 to co-found Skydio.
Abraham Bachrach
(CTO)Earned a PhD in Electrical Engineering and Computer Science from MIT, and was a Software Engineer for Google's Project Wing.
Matt Donahoe
(CXO)Previously a Research Assistant at MIT Media Lab and a Mobile Engineer at Pocket Gems.
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