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Junior Deep Learning Engineer Jobs (NOW HIRING)

Carbon Robotics

Deep Learning Engineer

Seattle, WA

Deep Learning Engineer As a Deep Learning Engineer at Carbon Robotics, you will contribute to ... Mentor and provide technical guidance to mid-level and junior engineers * Communicate model ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

As a Deep Learning Engineer, you will design, develop, and deploy deep learning systems for ... and junior engineers • Communicate model architecture decisions, tradeoffs, and performance ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

As a Deep Learning Engineer, you will design, develop, and deploy deep learning systems for ... and junior engineers • Communicate model architecture decisions, tradeoffs, and performance ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

Mentor and provide technical guidance to mid-level and junior engineers * Communicate model ... Deep understanding of foundational deep learning mathematics and the ability to apply first ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

As a Deep Learning Engineer, you will design, develop, and deploy deep learning systems for ... and junior engineers • Communicate model architecture decisions, tradeoffs, and performance ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

$14/hr

Mentor and provide technical guidance to mid-level and junior engineers * Communicate model ... Deep understanding of foundational deep learning mathematics and the ability to apply first ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA

$14/hr

Mentor and provide technical guidance to mid-level and junior engineers * Communicate model ... Deep understanding of foundational deep learning mathematics and the ability to apply first ...

Hayden AI

Deep Learning Engineer II

San Francisco, CA · On-site

$161K - $175K/yr

Deep Learning Engineer II POSITION DUTIES: Lead the research, development, and deployment of state-of- the-art deep learning models for perception of urban scenes in production environments.

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the forefront of computer vision and deep learning applied to challenging, real-world use-cases. You will ...

Matroid

Deep Learning Engineer

Palo Alto, CA

We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the forefront of computer vision and deep learning applied to challenging, real-world use-cases. You will ...

Targeted Talent

Senior Deep Learning Engineer

Austin, TX · On-site +1

$130K - $180K/yr

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model ...

NBCUniversal

Deep Learning Engineer

Manhattan, NY

We are seeking a Deep Learning Engineer with experience manipulating large 2D and 3D media datasets. In this role, you will implement core algorithms that sit at the intersection of computer vision ...

femtoAI

Audio Deep Learning Engineer

San Bruno, CA · Hybrid

About the Role As a Deep Learning Engineer, you will: * Design, develop, and deploy deep-learning-based and classical DSP audio algorithms for our SPU platform. * Leverage innovative model ...

NBCUniversal

Deep Learning Engineer

Manhattan, NY · On-site

$160K - $175K/yr

We are seeking a Deep Learning Engineer with experience manipulating large 2D and 3D media datasets. In this role, you will implement core algorithms that sit at the intersection of computer vision ...

NBCUniversal

Deep Learning Engineer

Manhattan, NY

We are seeking a Deep Learning Engineer with experience manipulating large 2D and 3D media datasets. In this role, you will implement core algorithms that sit at the intersection of computer vision ...

femtoAI

Audio Deep Learning Engineer

San Bruno, CA · On-site

About the Role As a Deep Learning Engineer, you will: * Design, develop, and deploy deep-learning-based and classical DSP audio algorithms for our SPU platform. * Leverage innovative model ...

Imagry

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123K - $169K/yr

Senior Deep Learning Engineer, Computer Vision imagry.E4.E30@comeetapply.com Location: San Jose, CA , On Site We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D ...

Nvidia Corporation

Senior Deep Learning Engineer

Redmond, WA · On-site

$62 - $79.75/hr

We are now looking for a Senior Deep Learning Engineer! At NVIDIA, we are at the forefront of advancing the capabilities of artificial intelligence. We are seeking an ambitious and forward-thinking ...

Rebar

Senior Deep Learning Engineer

New York, NY · On-site

$114K - $157K/yr

We're looking for a Senior Deep Learning Engineer with extensive experience in modern neural network techniques and PyTorch to help us push the boundaries of computer vision in real-world ...

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All JobsJunior Deep Learning Engineer Jobs

Junior Deep Learning Engineer information

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$109.5K

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

As of Jun 15, 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.
Deep Learning Engineer

Deep Learning Engineer

Carbon Robotics

Seattle, WA

Other

Posted 29 days ago

Job description

Deep Learning Engineer 

As a Deep Learning Engineer at Carbon Robotics, you will contribute to designing, developing, and deploying novel deep learning systems that power our autonomous laser weeding robots in the field. 

What You'll Do

  • Lead the design and execution of experiments to develop and validate novel deep learning architectures for computer vision in agricultural environments
  • Own model optimization and deployment pipelines - ensuring high performance, reliability, and scalability across operational field deployments
  • Drive end-to-end ML workflows from data strategy and pipeline design through evaluation and production deployment
  • Define best practices for experimentation, documentation, and model evaluation within the team
  • Partner with Engineering and Product Management to scope, prioritize, and deliver high-impact features
  • Mentor and provide technical guidance to mid-level and junior engineers
  • Communicate model architecture decisions, tradeoffs, and performance results to both technical and non-technical audiences

Knowledge, Skills & Abilities

  • 2-4 years of professional experience designing and implementing novel deep learning architectures for production computer vision systems
  • Deep understanding of foundational deep learning mathematics and the ability to apply first-principles thinking to architecture decisions
  • Hands-on experience working across the software stack, including sensor integration and web services, ideally within a robotics or autonomous field equipment platform
  • Experience with deep learning frameworks, particularly PyTorch, and proficiency in C++ for performance-critical model development and deployment
  • Proven track record taking ML projects from inception through business impact - including data strategy, pipeline development, experimentation, and deployment at scale
  • Strong expertise in modern object detection techniques (vision transformers, anchor-free detectors, embeddings, and beyond)
  • Experience in autonomous driving or ADAS is a plus - background in perception pipelines, sensor fusion, or real-time inference in outdoor or unstructured environments is highly valued
  • Comfort navigating ambiguity and making principled technical decisions in rapidly evolving technical landscapes
  • Strong verbal and written communication skills - able to explain complex model behavior and tradeoffs to non-technical staff and customers
  • Experience mentoring engineers and contributing to team technical culture

Requirements

  • 2-7 years of experience in deep learning model optimization and deployment
  • BS+ in Computer Science, Machine Learning, or a related field (or equivalent experience)


In Office Requirements

  • We're a collaborative, in-person team - this role is based in our Seattle office with at least 4 days per week on-site

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