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Deep Learning Developer Jobs (NOW HIRING)

Skydio

Autonomy Engineer - Deep Learning

San Mateo, CA

$170K - $277.50K/yr

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 ...

PlusAI

Deep Learning Intern

Santa Clara, CA · On-site

$19 - $65/hr

Required Skills: * Pursuing MS or PhD in Computer Science, Electrical Engineering, Robotics ... Past experiences in deep learning projects involving object detection, motion tracking or semantic ...

PlusAI

Deep Learning Intern

Santa Clara, CA

$19 - $65/hr

Required Skills: * Pursuing MS or PhD in Computer Science, Electrical Engineering, Robotics ... Past experiences in deep learning projects involving object detection, motion tracking or semantic ...

Seven Research

Deep Learning Researcher

Manhattan, NY

$200K - $300K/yr

Your Role Our Deep Learning Researchers expand the boundaries of quantitative finance through the ... Strong programming skills, including mastery of Python * Strong problem-solving skills and research ...

Seven Research

Deep Learning Researcher

New York, NY · On-site

$200K - $300K/yr

Your Role Our Deep Learning Researchers expand the boundaries of quantitative finance through the ... Strong programming skills, including mastery of Python * Strong problem-solving skills and research ...

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How much do deep learning developer jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for deep learning developer in the United States is $38.44, according to ZipRecruiter salary data. Most workers in this role earn between $32.69 and $42.79 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Deep Learning Developer, and why are they important?

To thrive as a Deep Learning Developer, you need a strong background in computer science, mathematics, and proficiency in programming languages like Python, often supported by a degree in a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, and experience with cloud platforms or GPU acceleration, are commonly required technical skills. Analytical thinking, problem-solving abilities, and effective teamwork distinguish top performers in this role. These competencies are crucial for designing, training, and deploying advanced neural network models that address complex real-world problems.

What are some common challenges Deep Learning Developers face when deploying models to production environments?

Deep Learning Developers often encounter challenges such as optimizing model performance for real-time inference, managing resource constraints (like GPU/CPU availability), and ensuring model reproducibility across different environments. Additionally, integrating deep learning models into existing software systems and maintaining them over time can be complex, especially as data and requirements evolve. Collaborating closely with DevOps, data engineers, and QA teams is essential to address these challenges and ensure smooth deployment and ongoing reliability.

What are Deep Learning Developers?

Deep Learning Developers are specialized software engineers or data scientists who design, build, and implement artificial intelligence systems using deep learning techniques. They work with neural networks, large datasets, and various frameworks like TensorFlow or PyTorch to develop models for tasks such as image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, optimization, and deployment to solve complex problems that require advanced pattern recognition. Deep Learning Developers often collaborate with AI researchers, data engineers, and product teams to integrate intelligent features into applications.

Which 3 jobs will survive AI?

Deep Learning Developers are likely to continue to be in demand as AI advances because they design and improve AI models, requiring specialized skills in programming, mathematics, and data analysis. Other resilient roles include AI ethicists, who address ethical considerations, and AI system trainers, who curate and annotate data to improve AI performance. These jobs involve complex problem-solving and human oversight that are less easily automated.

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

AspectDeep Learning DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with neural networksBachelor's or Master's in CS, Data Science, or related; knowledge of algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural networksData-driven companies, software firms, industries applying machine learning
Industry UsagePrimarily in AI research, neural network development, deep learning projectsBroader application including predictive modeling, data analysis, and ML systems

Deep Learning Developers specialize in neural networks and deep learning models, often working on AI research and complex algorithms. Machine Learning Engineers have a broader focus on developing, deploying, and maintaining machine learning models across various applications. While both roles require similar educational backgrounds, their focus areas and industry applications differ.

What cities are hiring for Deep Learning Developer jobs? Cities with the most Deep Learning Developer job openings:
What states have the most Deep Learning Developer jobs? States with the most job openings for Deep Learning Developer jobs include:
Deep Learning Developer jobs near you
Infographic showing various Deep Learning Developer job openings in the United States as of May 2026, with employment types broken down into 31% Full Time, 63% Part Time, 5% Contract, and 1% Nights. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $79,957 per year, or $38.4 per hour.
Autonomy Engineer - Deep Learning

Autonomy Engineer - Deep Learning

Skydio, Inc

San Mateo, CA • On-site

$170K - $277.50K/yr

Full-time

Medical, Retirement, PTO

Posted 19 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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