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Salaried Deep Learning Jobs in California (NOW HIRING)

Skydio, Inc

Autonomy Engineer - Deep Learning

San Mateo, CA · On-site

$170K - $277K/yr

As a Deep Learning Engineer, you will be responsible for training and deploying optimized models to ... The annual base salary range for this position is $170,000 - 277,500*. Fundamentally, we believe ...

Nvidia

Deep Learning Compiler Engineer

Santa Clara, CA · On-site

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered ... Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location ...

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What is the difference between Salaried Deep Learning vs Salaried Machine Learning Engineer?

AspectSalaried Deep LearningSalaried Machine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, AI, or related fields; experience with neural networksMaster's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural network modelsTech companies, data-driven firms, AI product development teams
Employer & Industry UsagePrimarily in AI research, academia, and companies developing deep learning modelsAcross industries like finance, healthcare, and e-commerce implementing ML solutions

While both roles involve machine learning, Salaried Deep Learning specialists focus on neural network architectures and AI research, whereas Salaried Machine Learning Engineers work on broader ML applications and deployment across various industries.

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The most popular types of Deep Learning jobs in California are:

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For Salaried Deep Learning jobs in California, the most frequently searched job titles are:

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Salaried Deep Learning jobs near you
Infographic showing various Salaried Deep Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Autonomy Engineer - Deep Learning

San Mateo, CA • On-site

Skydio, Inc
Aerospace Product and Parts Manufacturing • 51 - 200 employees
Learn more about Skydio, Incexternal

$170K - $277K/yr

Full-time

Medical, Retirement, PTO

Re-posted 15 days ago

Job description

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios, and beyond.
About the role:
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. 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.
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.
How you'll make an impact:
  • 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

What makes you a good fit:
  • 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

Compensation: At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $170,000 - 277,500*. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company's group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company's policies and eligibility criteria.
*For some positions the pay may be dependent upon the individual's regional location.
#LI-PG
At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws.
For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/

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