We are looking for a Deep Learning and Computer Vision engineer for our Autonomous Vehicles team. The role involves applying state-of-the-art techniques to build ground truth for autonomous vehicles ...
We are looking for a Deep Learning and Computer Vision engineer for our Autonomous Vehicles team. The role involves applying state-of-the-art techniques to build ground truth for autonomous vehicles ...
Senior Applied Deep Learning Research Scientist, Efficiency
Seattle, WA · On-site
$112K - $142K/yr
Job Summary : NVIDIA is seeking an Applied Deep Learning Research Scientist to join their ADLR ... Required : • PhD degree in AI, computer science, computer engineering, math or a related field or ...
Senior Applied Deep Learning Research Scientist, Efficiency
Seattle, WA · On-site
$112K - $142K/yr
Job Summary : NVIDIA is seeking an Applied Deep Learning Research Scientist to join their ADLR ... Required : • PhD degree in AI, computer science, computer engineering, math or a related field or ...
ABOUT THE ROLE Applied Scientists at TTD work closely with engineering throughout the lifecycle of ... Develop ML/deep learning based models end-to-end to support various forecasting need throughout ...
ABOUT THE ROLE Applied Scientists at TTD work closely with engineering throughout the lifecycle of ... Develop ML/deep learning based models end-to-end to support various forecasting need throughout ...
We are now looking for an Applied Deep Learning Research Scientist, Efficiency! Join our ADLR ... PhD degree in AI, computer science, computer engineering, math or a related field or equivalent ...
We are now looking for an Applied Deep Learning Research Scientist, Efficiency! Join our ADLR ... PhD degree in AI, computer science, computer engineering, math or a related field or equivalent ...
Machine Learning Engineer
$93K - $125K/yr
Develop, evaluate, and deploy ML models using classical, deep learning, and GenAI approaches ... Mentor junior engineers and help grow the team's technical depth. What You Need to Succeed Required ...
Machine Learning Engineer
$93K - $125K/yr
Develop, evaluate, and deploy ML models using classical, deep learning, and GenAI approaches ... Mentor junior engineers and help grow the team's technical depth. What You Need to Succeed Required ...
Senior Machine Learning Engineer/Machine Learning Engineer III
Seattle, WA · On-site
$118K - $163K/yr
Engineering, but brighter. About the Role As a Machine Learning Engineer in Agent Factory, you'll ... deep learning frameworks & toolkits such as Pytorch, TensorFlow • 4+ years of professional ...
Senior Machine Learning Engineer/Machine Learning Engineer III
Seattle, WA · On-site
$118K - $163K/yr
Engineering, but brighter. About the Role As a Machine Learning Engineer in Agent Factory, you'll ... deep learning frameworks & toolkits such as Pytorch, TensorFlow • 4+ years of professional ...
Senior Machine Learning Engineer/Machine Learning Engineer III
Seattle, WA · On-site
$118K - $163K/yr
Engineering, but brighter. About the Role As a Machine Learning Engineer in Agent Factory, you'll ... learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow 4+ years of ...
Senior Machine Learning Engineer/Machine Learning Engineer III
Seattle, WA · On-site
$118K - $163K/yr
Engineering, but brighter. About the Role As a Machine Learning Engineer in Agent Factory, you'll ... learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow 4+ years of ...
Deep knowledge of math, probability, statistics, and algorithms * Ability to write robust code in Python, Java, and R * Familiarity with machine learning frameworks (like Keras or PyTorch) and ...
Quick apply
Deep knowledge of math, probability, statistics, and algorithms * Ability to write robust code in Python, Java, and R * Familiarity with machine learning frameworks (like Keras or PyTorch) and ...
Deep knowledge of math, probability, statistics, and algorithms * Ability to write robust code in Python, Java, and R * Familiarity with machine learning frameworks (like Keras or PyTorch) and ...
Deep knowledge of math, probability, statistics, and algorithms * Ability to write robust code in Python, Java, and R * Familiarity with machine learning frameworks (like Keras or PyTorch) and ...
Required : • 3-5 years of proven experience as a Machine Learning Engineer or a similar role • Strong experience with Deep Learning • Understanding of data structures, data modeling, and ...
Required : • 3-5 years of proven experience as a Machine Learning Engineer or a similar role • Strong experience with Deep Learning • Understanding of data structures, data modeling, and ...
Sr. Machine Learning Engineer 4
$118K - $163K/yr
Develop, evaluate, and deploy ML models using classical, deep learning, and GenAI approaches ... Mentor junior engineers and help grow the team's technical depth. What You Need to Succeed Required ...
Sr. Machine Learning Engineer 4
$118K - $163K/yr
Develop, evaluate, and deploy ML models using classical, deep learning, and GenAI approaches ... Mentor junior engineers and help grow the team's technical depth. What You Need to Succeed Required ...
2026 Fall Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) - Un
Seattle, WA · On-site
Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep ...
2026 Fall Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) - Un
Seattle, WA · On-site
Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep ...
As a Staff Machine Learning Engineer, you play a critical role in developing world-class Search and ... As part of our team, you will be leveraging and improving upon the latest deep learning techniques ...
As a Staff Machine Learning Engineer, you play a critical role in developing world-class Search and ... As part of our team, you will be leveraging and improving upon the latest deep learning techniques ...
They are seeking a Manager of Machine Learning Engineering to lead a team focused on building next ... deep learning frameworks (e.g., PyTorch, TensorFlow) • Proven track record of building and ...
They are seeking a Manager of Machine Learning Engineering to lead a team focused on building next ... deep learning frameworks (e.g., PyTorch, TensorFlow) • Proven track record of building and ...
AIML - Machine Learning Engineer, MIND
$142K - $263K/yr
As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have ... Familiar with recent advances in deep learning. Bachelor's, Master's, or PhD or equivalent ...
AIML - Machine Learning Engineer, MIND
$142K - $263K/yr
As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have ... Familiar with recent advances in deep learning. Bachelor's, Master's, or PhD or equivalent ...
CV and ML Engineer
$175K - $308K/yr
We are looking for engineers with expertise in deep learning for 3D computer vision and on-device model optimization. In this role, you will help design, build, and ship core 3D perception ...
CV and ML Engineer
$175K - $308K/yr
We are looking for engineers with expertise in deep learning for 3D computer vision and on-device model optimization. In this role, you will help design, build, and ship core 3D perception ...
CV and ML Engineer
$175K - $308K/yr
We are looking for engineers with expertise in deep learning for 3D computer vision and on-device model optimization. In this role, you will help design, build, and ship core 3D perception ...
CV and ML Engineer
$175K - $308K/yr
We are looking for engineers with expertise in deep learning for 3D computer vision and on-device model optimization. In this role, you will help design, build, and ship core 3D perception ...
Machine Learning Engineer
Seattle, WA · On-site
$120K - $180K/yr
We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We ...
Machine Learning Engineer
Seattle, WA · On-site
$120K - $180K/yr
We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We ...
Machine Learning Engineer
$120K - $180K/yr
We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We ...
Machine Learning Engineer
$120K - $180K/yr
We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We ...
Machine Learning Manager
Seattle, WA · On-site
$180K - $250K/yr
Undergraduate or graduate degree in computer science or similar technical field * 4+ years experience as a machine learning engineer, with experience in training large deep learning models and ...
Machine Learning Manager
Seattle, WA · On-site
$180K - $250K/yr
Undergraduate or graduate degree in computer science or similar technical field * 4+ years experience as a machine learning engineer, with experience in training large deep learning models and ...
Deep Learning Developer information
See Seattle, WA salary details
$20.52 - $23.92
2% of jobs
$23.92 - $27.33
0% of jobs
$27.33 - $30.74
0% of jobs
$30.74 - $34.15
12% of jobs
$34.15 - $37.55
11% of jobs
$37.74 is the 25th percentile. Wages below this are outliers.
$37.55 - $40.96
10% of jobs
The median wage is $43.97 / hr.
$40.96 - $44.37
18% of jobs
$44.37 - $47.77
16% of jobs
$49.16 is the 75th percentile. Wages above this are outliers.
$47.77 - $51.18
17% of jobs
$51.18 - $54.59
2% of jobs
$54.59 - $58
13% of jobs
$20
$43
$57
How much do deep learning developer jobs pay per hour?
As of Jul 17, 2026, the average hourly pay for deep learning developer in Seattle, WA is $43.75, according to ZipRecruiter salary data. Most workers in this role earn between $37.21 and $48.70 per hour, depending on experience, location, and employer.
What is a $900000 AI job?
A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior Deep Learning Developer or AI research lead, often involving advanced skills in machine learning frameworks, data modeling, and programming. Such roles usually require extensive experience, specialized knowledge, and may include responsibilities like developing innovative AI solutions or leading AI teams in tech companies or research institutions.
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 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 roles expected to persist include AI ethics specialists and AI system trainers, as human oversight and ethical considerations remain essential. These jobs involve complex problem-solving and domain expertise that are difficult to fully automate.
What is the difference between Deep Learning Developer vs Machine Learning Engineer?
| Aspect | Deep Learning Developer | Machine Learning Engineer |
|---|---|---|
| Required Credentials | Bachelor's or Master's in CS, AI, or related; experience with neural networks | Bachelor's or Master's in CS, Data Science, or related; knowledge of algorithms |
| Work Environment | Research labs, AI startups, tech companies focusing on neural networks | Data-driven companies, software firms, industries applying machine learning |
| Industry Usage | Primarily in AI research, neural network development, deep learning projects | Broader 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 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 engineer makes $500,000 a year?
Highly experienced deep learning developers or AI engineers with specialized skills in neural networks, large-scale data processing, and advanced machine learning frameworks can earn $500,000 or more annually, especially in senior or leadership roles at major tech companies or startups. Such roles often require advanced degrees, extensive experience, and a strong track record of deploying impactful AI solutions.
What engineers make $300,000 a year?
Deep learning developers and AI engineers with extensive experience, advanced skills in machine learning frameworks, and strong domain expertise can earn $300,000 or more annually, especially in high-demand industries or senior roles. Compensation often includes base salary, bonuses, and stock options, particularly at leading tech companies or startups with significant funding.
Full-time
Re-posted 17 days ago
Nvidia rating
9.3
Based on 5 frontline employees who took The Breakroom Quiz
15th of 209 rated software companies
Job description
We are looking for a Deep Learning and Computer Vision engineer for our Autonomous Vehicles team. The role involves applying state-of-the-art techniques to build ground truth for autonomous vehicles, a critical aspect of our next-generation products. You will have the opportunity to work with top researchers and engineers in the field of deep learning and computer vision to deliver impact to our customers around the world. Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer a science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. The era of AI has begun. NVIDIA's GPUs run Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and AI come together in our architecture. This may explain why.
NVIDIA GPUs are used broadly for Deep Learning, and NVIDIA is increasingly known as "the AI company". Make your choice to join us today. We are training Deep Neural Networks for NVIDIA's Autonomous Vehicles effort, with the goal to enable autonomous driving. We are seeking Deep Learning/Machine Learning interns who are passionate about solving problems in perception, prediction, planning and control for self-driving cars to achieve full autonomy. Are you interested in inventing human level AI for navigation in the unconstrained world under any conditions? If so, join us!
What you'll be doing:
Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas.
Foster collaborative partnerships with our researchers and engineers, transforming innovative research into robust, industrial-strength machine learning models.
Taking approaches from initial evaluation and experimentation all the way to shipping.
Defining and collecting training datasets.
Building training pipelines and real-time inference run-times (PyTorch, TensorFlow, TensorRT, Python, C++).
What we need to see:
PhD with 1+ year, or MS (or equivalent experience) with 5+ years, of relevant experiencein Computer Science, ComputerEngineering, or a related technical field.
Proven experience building robust software.
Passionate about Artificial Intelligence for robotics and autonomous navigation
Strive to learn new things and like solving hard problems
Math knowledge
Experience in Deep Learning / Machine Learning. You have a background in Computer vision and/or Planning/Control.
Programming and debugging skills in C++ and/or Python.
Good communication and analytical skills. Ability to work with multiple teams in a dynamic environment.
Ways to stand out from the crowd:
Background in applying latest AI methods to solve Computer Vision and Autonomous Vehicles problems
Experience with Unsupervised or Self-supervised Learning
Involvement with architecture optimization, pruning, curriculum & multi-task training
Experience fusing data from different sensor modalities (e.g. Images and LIDAR data) to enable information conflation, label propagation, cross training.
We believe that realizing self-driving cars will be a defining contribution of our generation. We have the funding and scale, but we need your help. NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
About Nvidia
Sourced by ZipRecruiter
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US
Year founded
1993