Deep Learning Engineer
Seattle, WA · On-site
As a Deep Learning Engineer, you will design, develop, and deploy deep learning systems for autonomous laser weeding robots, ensuring high performance and scalability in agricultural environments.
Deep Learning Engineer
Seattle, WA · On-site
As a Deep Learning Engineer, you will design, develop, and deploy deep learning systems for autonomous laser weeding robots, ensuring high performance and scalability in agricultural environments.
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 ...
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 ...
Deep Learning Scientist
Los Angeles, CA · On-site
They are seeking a Deep Learning Scientist to develop models, supervise engineers, publish research, and draft proposals in the fields of medical imaging or computer vision. Responsibilities : • ...
Deep Learning Scientist
Los Angeles, CA · On-site
They are seeking a Deep Learning Scientist to develop models, supervise engineers, publish research, and draft proposals in the fields of medical imaging or computer vision. Responsibilities : • ...
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 development of advanced deep learning models. You will conduct rigorous, systematic research to ...
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 development of advanced deep learning models. You will conduct rigorous, systematic research to ...
Deep Learning Engineer
Seattle, WA · On-site
As a Deep Learning Engineer, you will design, develop, and deploy deep learning systems for autonomous laser weeding robots, ensuring high performance and reliability in agricultural environments.
Deep Learning Engineer
Seattle, WA · On-site
As a Deep Learning Engineer, you will design, develop, and deploy deep learning systems for autonomous laser weeding robots, ensuring high performance and reliability in agricultural environments.
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 development of advanced deep learning models. You will conduct rigorous, systematic research to ...
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 development of advanced deep learning models. You will conduct rigorous, systematic research to ...
They are seeking a Deep Learning Engineer to build and deploy cutting-edge deep learning models that transform market intelligence and drive data-driven decision making across the industry.
They are seeking a Deep Learning Engineer to build and deploy cutting-edge deep learning models that transform market intelligence and drive data-driven decision making across the industry.
Deep Learning Engineer
Seattle, WA · On-site
$140K - $220K/yr
YouTube | X | Instagram | LinkedIn | News Deep Learning Engineer As a Deep Learning Engineer at Carbon Robotics, you will contribute to designing, developing, and deploying novel deep learning ...
Quick apply
Deep Learning Engineer
Seattle, WA · On-site
$140K - $220K/yr
YouTube | X | Instagram | LinkedIn | News Deep Learning Engineer As a Deep Learning Engineer at Carbon Robotics, you will contribute to designing, developing, and deploying novel deep learning ...
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 ...
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 ...
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 ...
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 ...
Deep Learning Engineer
Seattle, WA · On-site
$140K - $220K/yr
YouTube | X | Instagram | LinkedIn | News Deep Learning Engineer As a Deep Learning Engineer at Carbon Robotics, you will contribute to designing, developing, and deploying novel deep learning ...
Deep Learning Engineer
Seattle, WA · On-site
$140K - $220K/yr
YouTube | X | Instagram | LinkedIn | News Deep Learning Engineer As a Deep Learning Engineer at Carbon Robotics, you will contribute to designing, developing, and deploying novel deep learning ...
Deep Learning Engineer
Palo Alto, CA · On-site
$150 - $190/hr
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 ...
Deep Learning Engineer
Palo Alto, CA · On-site
$150 - $190/hr
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 ...
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 ...
Quick apply
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 ...
DEEP LEARNING ENGINEER
Windham, ME · On-site
$90 - $130/hr
We are seeking a talented and driven Deep Learning Engineer to join our team and play a critical role in developing and deploying sophisticated AI solutions for our clients. LOCATION New England ...
DEEP LEARNING ENGINEER
Windham, ME · On-site
$90 - $130/hr
We are seeking a talented and driven Deep Learning Engineer to join our team and play a critical role in developing and deploying sophisticated AI solutions for our clients. LOCATION New England ...
Deep Learning Engineer
San Francisco, CA · On-site
$100 - $130/hr
About the Deep Learning Team The Deep learning team's work is at the crux of Hayden AI's solutions to its customers. The team is responsible for building and maintaining advanced models that are able ...
Deep Learning Engineer
San Francisco, CA · On-site
$100 - $130/hr
About the Deep Learning Team The Deep learning team's work is at the crux of Hayden AI's solutions to its customers. The team is responsible for building and maintaining advanced models that are able ...
Deep Learning Engineer
San Francisco, CA · On-site
$161K - $175K/yr
About the Deep Learning Team The Deep learning team's work is at the crux of Hayden AI's solutions to its customers. The team is responsible for building and maintaining advanced models that are able ...
Deep Learning Engineer
San Francisco, CA · On-site
$161K - $175K/yr
About the Deep Learning Team The Deep learning team's work is at the crux of Hayden AI's solutions to its customers. The team is responsible for building and maintaining advanced models that are able ...
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 ...
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 ...
Intern, Deep Learning Engineer
Houston, TX · On-site
$14.25 - $19/hr
Train, tune, and optimize deep learning models using our large-scale compute clusters and truck datasets. Qualifications Required: * Education: Current Master's or Ph.D. candidate in CS, Robotics, or ...
Intern, Deep Learning Engineer
Houston, TX · On-site
$14.25 - $19/hr
Train, tune, and optimize deep learning models using our large-scale compute clusters and truck datasets. Qualifications Required: * Education: Current Master's or Ph.D. candidate in CS, Robotics, or ...
Research Intern - Deep Learning
Fremont, CA · On-site
$7.0K - $10K/mo
Develop and deploy deep learning models, including vision language models (VLMs) and Large Language Models (LLMs) * Design and implement multi-modality and multi-task perception models focusing on 3D ...
Research Intern - Deep Learning
Fremont, CA · On-site
$7.0K - $10K/mo
Develop and deploy deep learning models, including vision language models (VLMs) and Large Language Models (LLMs) * Design and implement multi-modality and multi-task perception models focusing on 3D ...
Design deep learning and GenAI models to meet modeling requirements. * Implement modeling prototypes and perform analysis. * Perform model training and/or tuning on domain datasets. * Evaluate and ...
Design deep learning and GenAI models to meet modeling requirements. * Implement modeling prototypes and perform analysis. * Perform model training and/or tuning on domain datasets. * Evaluate and ...
Deep Learning information
See salary details
$21.8K is the 25th percentile. Wages below this are outliers.
$11K - $22.7K
27% of jobs
$22.7K - $34.5K
0% of jobs
$34.5K - $46.2K
0% of jobs
$46.2K - $57.9K
0% of jobs
$57.9K - $69.6K
0% of jobs
The median wage is $80.4K / yr.
$69.6K - $81.4K
25% of jobs
$81.4K - $93.1K
18% of jobs
$101.5K is the 75th percentile. Wages above this are outliers.
$93.1K - $104.8K
7% of jobs
$104.8K - $116.5K
2% of jobs
$116.5K - $128.3K
0% of jobs
$128.3K - $140K
21% of jobs
$11K
$83.9K
$140K
How much do deep learning jobs pay per year?
As of Sep 5, 2026, the average yearly pay for deep learning in the United States is $83,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $139,000.00 per year, depending on experience, location, and employer.
What is a deep learning job?
A Deep Learning job involves designing, developing, and optimizing neural networks to solve complex problems such as image recognition, natural language processing, and autonomous systems. Professionals in this field work with large datasets, neural network architectures, and frameworks like TensorFlow or PyTorch. They collaborate with data scientists, engineers, and researchers to improve model accuracy and efficiency. Deep Learning roles typically require strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration.
What are the typical daily responsibilities of a deep learning professional?
As a Deep Learning professional, your day-to-day tasks often include designing and training neural network models, preprocessing and analyzing large datasets, and evaluating model performance using various metrics. You may also participate in research activities, document your results, and collaborate with data scientists, engineers, or product teams to deploy machine learning solutions. Regular meetings for project updates, code reviews, and brainstorming sessions are common, as is staying updated on advances in the field. This dynamic environment offers both individual and team-based work, providing continuous learning and the opportunity to solve complex, real-world problems.
What are the key skills and qualifications needed to thrive in a deep learning position?
To thrive in Deep Learning, you need a solid understanding of machine learning theory, neural networks, mathematics (especially linear algebra and probability), and programming skills, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data preprocessing, and optionally industry-recognized certifications are advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate findings clearly are crucial soft skills. These abilities enable the design, implementation, and optimization of effective deep learning solutions in real-world applications.
What jobs use deep learning?
Jobs that use deep learning include roles such as machine learning engineer, data scientist, AI researcher, and computer vision engineer. These positions typically require skills in programming languages like Python, experience with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures. They are common in industries like technology, healthcare, automotive, and finance, often involving tasks like image recognition, natural language processing, and predictive modeling.
More about Deep Learning jobs
What cities are hiring for Deep Learning jobs?
Cities with the most Deep Learning job openings:
What are the most commonly searched types of Deep Learning jobs?
The most popular types of Deep Learning jobs are:
What states have the most Deep Learning jobs?
States with the most job openings for Deep Learning jobs include:
What job categories do people searching Deep Learning jobs look for?
The top searched job categories for Deep Learning jobs are:
Job description
Job Summary:
Carbon Robotics is an innovative company focused on revolutionizing agriculture through advanced robotics and AI technology. As a Deep Learning Engineer, you will design, develop, and deploy deep learning systems for autonomous laser weeding robots, ensuring high performance and scalability in agricultural environments.
Responsibilities:
• 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
Qualifications:
Required:
• 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
• 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)
• We're a collaborative, in-person team — this role is based in our Seattle office with at least 4 days per week on-site
Preferred:
• 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
Company:
Carbon Robotics is revolutionizing agriculture with AI and robotics to reduce costs and increase yields Founded in 2018, the company is headquartered in Seattle, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Carbon Robotics is an innovative company focused on revolutionizing agriculture through advanced robotics and AI technology. As a Deep Learning Engineer, you will design, develop, and deploy deep learning systems for autonomous laser weeding robots, ensuring high performance and scalability in agricultural environments.
Responsibilities:
• 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
Qualifications:
Required:
• 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
• 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)
• We're a collaborative, in-person team — this role is based in our Seattle office with at least 4 days per week on-site
Preferred:
• 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
Company:
Carbon Robotics is revolutionizing agriculture with AI and robotics to reduce costs and increase yields Founded in 2018, the company is headquartered in Seattle, USA, with a team of 51-200 employees. The company is currently Growth Stage.