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Junior Deep Learning Engineer Jobs (NOW HIRING)

Skydio

Autonomy Engineer - Deep Learning

San Mateo, CA

$170K - $277K/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 ...

Merican

Data Science & Machine Learning Engineer

$117K - $140K/yr

Hands-on experience with Deep Learning frameworks such as TensorFlow and PyTorch. * Build robust ... Ability to mentor junior engineers and contribute to technical design decisions. Preferred ...

New

Nvidia

Senior Deep Learning Compiler Engineer

Austin, TX

$103K - $142K/yr

A track record of success in mentoring junior engineers and interns is a bonus. With highly ... Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location ...

Nvidia

OR · On-site

$104K - $143K/yr

A track record of success in mentoring junior engineers and interns is a bonus. With highly ... Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location ...

ENSCO, Inc.

Junior Machine Learning Engineer

Melbourne, FL · On-site

$64K - $106K/yr

Position Description ENSCO, Inc. is seeking a Junior Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks ...

Nvidia

Senior Deep Learning Compiler Engineer

Redmond, WA

$117K - $160K/yr

A track record of success in mentoring junior engineers and interns is a bonus. With highly ... Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location ...

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All JobsJunior Deep Learning Engineer Jobs

Junior Deep Learning Engineer information

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$33.5K

$71.8K

$109.5K

How much do junior deep learning engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for junior deep learning engineer in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Junior Deep Learning Engineer, you need a solid foundation in mathematics (especially linear algebra and statistics), proficiency in Python programming, and a degree in computer science or a related field. Experience with deep learning frameworks such as TensorFlow or PyTorch and familiarity with version control systems like Git are typically essential. Curiosity, problem-solving ability, and strong collaboration skills help you learn quickly and contribute effectively to team projects. These skills are crucial for building accurate models, adapting to rapid advances in AI, and working efficiently within development teams.

What is the difference between Junior Deep Learning Engineer vs Data Scientist?

AspectJunior Deep Learning EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping models, coding in Python, working with ML frameworksData analysis, statistical modeling, data visualization
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, tech firms, consulting

While both roles involve working with data and machine learning, a Junior Deep Learning Engineer primarily focuses on developing and implementing deep learning models using frameworks like TensorFlow or PyTorch. A Data Scientist, on the other hand, emphasizes data analysis, statistical modeling, and deriving insights from data. The roles often overlap, but the Deep Learning Engineer role is more specialized in neural networks and AI model deployment.

What are some typical challenges faced by Junior Deep Learning Engineers when transitioning from academic projects to real-world applications?

Junior Deep Learning Engineers often find that moving from academic projects to industry settings introduces challenges such as handling messy, unstructured data, working with limited computational resources, and optimizing models for production environments. In real-world teams, engineers must also collaborate closely with data scientists, software engineers, and product managers to align model development with business goals. Additionally, understanding and implementing best practices for version control, code documentation, and model deployment is crucial for successful integration and teamwork.

What does a Junior Deep Learning Engineer do?

A Junior Deep Learning Engineer assists in designing, developing, and deploying machine learning models, particularly those involving neural networks and large datasets. They often work under the guidance of senior engineers or researchers, helping with data preprocessing, model training, and evaluation. Their responsibilities may also include implementing algorithms, optimizing model performance, and collaborating with other team members to integrate models into applications. Junior Deep Learning Engineers typically use programming languages like Python and libraries such as TensorFlow or PyTorch. This role is ideal for those with a foundational knowledge of machine learning and a strong interest in AI advancements.
What are the most commonly searched types of Deep Learning Engineer jobs? The most popular types of Deep Learning Engineer jobs are:
Infographic showing various Junior Deep Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 3% Internship, 91% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $71,799 per year, or $34.5 per hour.
Autonomy Engineer - Deep Learning

Autonomy Engineer - Deep Learning

Skydio

San Mateo, CA

$170K - $277K/yr

Other

Medical, Retirement, PTO

Posted 2 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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