... with deep learning toolkits such as Tensorflow or PyTorch Strong mathematical skills in linear algebra and statistics Preferred Qualifications Ability to formulate a research problem, design ...
... with deep learning toolkits such as Tensorflow or PyTorch Strong mathematical skills in linear algebra and statistics Preferred Qualifications Ability to formulate a research problem, design ...
Machine Learning Researcher
New York, NY · On-site
Successful candidates will also have deep interest in learning about trading and the financial ... Researchers and developers there are passionate about their work, model building, data and ...
Machine Learning Researcher
New York, NY · On-site
Successful candidates will also have deep interest in learning about trading and the financial ... Researchers and developers there are passionate about their work, model building, data and ...
On our Machine Learning team, you'll build the deep learning models that power our trading ... At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and ...
On our Machine Learning team, you'll build the deep learning models that power our trading ... At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and ...
Senior Performance Engineer - Deep Learning
$122K - $168K/yr
Collaborate on systems research that improves Deep Learning model performance, such as training using extremely low precision, parallelism methods, etc. * Implement, benchmark, and optimize new Deep ...
Senior Performance Engineer - Deep Learning
$122K - $168K/yr
Collaborate on systems research that improves Deep Learning model performance, such as training using extremely low precision, parallelism methods, etc. * Implement, benchmark, and optimize new Deep ...
Machine Learning Researcher
San Diego, CA · On-site
Engineering Group, Engineering Group > Machine Learning Researcher General Summary: Qualcomm AI ... Deep expertise in Generative AI, Multi-Modal Foundation models, Vision Language Models, Reasoning ...
Machine Learning Researcher
San Diego, CA · On-site
Engineering Group, Engineering Group > Machine Learning Researcher General Summary: Qualcomm AI ... Deep expertise in Generative AI, Multi-Modal Foundation models, Vision Language Models, Reasoning ...
Deep Learning Engineer - Perception Algorithms
$147K - $272K/yr
Join our team of committed deep learning engineers in the Video Computer Vision group ... We are a centralized applied research and engineering organization responsible for developing real ...
Deep Learning Engineer - Perception Algorithms
$147K - $272K/yr
Join our team of committed deep learning engineers in the Video Computer Vision group ... We are a centralized applied research and engineering organization responsible for developing real ...
Keep on top of the latest developments and research in academic CV/DL and decide how we should ... Passion for computer vision and deep learning; you are excited to adapt the latest multimodal LLMs ...
Keep on top of the latest developments and research in academic CV/DL and decide how we should ... Passion for computer vision and deep learning; you are excited to adapt the latest multimodal LLMs ...
Research Intern - Deep Learning Group
Redmond, WA · On-site
$8.7K - $14K/mo
The Deep Learning group at the Microsoft Research Redmond lab is seeking applicants for 2026 summer Research Internships in the areas of deep learning, artificial intelligence, and other related ...
Research Intern - Deep Learning Group
Redmond, WA · On-site
$8.7K - $14K/mo
The Deep Learning group at the Microsoft Research Redmond lab is seeking applicants for 2026 summer Research Internships in the areas of deep learning, artificial intelligence, and other related ...
... and deep learning toolkits such as PyTorch. Strong mathematical skills in linear algebra and ... to formulate a research problem and design, experiment, implement, and communicate solutions.
... and deep learning toolkits such as PyTorch. Strong mathematical skills in linear algebra and ... to formulate a research problem and design, experiment, implement, and communicate solutions.
Machine Learning Researcher
New York, NY · On-site
Successful candidates will also have deep interest in learning about trading and the financial ... Researchers and developers there are passionate about their work, model building, data and ...
Machine Learning Researcher
New York, NY · On-site
Successful candidates will also have deep interest in learning about trading and the financial ... Researchers and developers there are passionate about their work, model building, data and ...
Machine Learning Researcher
New York, NY · On-site
On our Machine Learning team, you'll build the deep learning models that power our trading ... At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and ...
Machine Learning Researcher
New York, NY · On-site
On our Machine Learning team, you'll build the deep learning models that power our trading ... At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and ...
If you're drawn to hard problems where the research and the product are inseparable, this is the team Description We believe that the most interesting problems in deep learning research arise when we ...
If you're drawn to hard problems where the research and the product are inseparable, this is the team Description We believe that the most interesting problems in deep learning research arise when we ...
If you're drawn to hard problems where the research and the product are inseparable, this is the team Description We believe that the most interesting problems in deep learning research arise when we ...
If you're drawn to hard problems where the research and the product are inseparable, this is the team Description We believe that the most interesting problems in deep learning research arise when we ...
Deep Learning Algorithm Developer
Goleta, CA · On-site
$120K - $200K/yr
Toyon has openings for researchers and developers to solve challenging real-world problems using ... Requirements Candidates for the Deep Learning Algorithm Developer position should have a strong ...
Deep Learning Algorithm Developer
Goleta, CA · On-site
$120K - $200K/yr
Toyon has openings for researchers and developers to solve challenging real-world problems using ... Requirements Candidates for the Deep Learning Algorithm Developer position should have a strong ...
Machine Learning Researcher
Chicago, IL · On-site
$250K - $300K/yr
... learning to solve challenging trading problems. This role is part of a central ML research team ... This is an opportunity to dive deep into feature engineering and alpha research, and focus on ...
Machine Learning Researcher
Chicago, IL · On-site
$250K - $300K/yr
... learning to solve challenging trading problems. This role is part of a central ML research team ... This is an opportunity to dive deep into feature engineering and alpha research, and focus on ...
Machine Learning Researcher
New York, NY · On-site
On our Machine Learning team, you'll build the deep learning models that power our trading ... At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and ...
Machine Learning Researcher
New York, NY · On-site
On our Machine Learning team, you'll build the deep learning models that power our trading ... At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and ...
On our Machine Learning team, you'll build the deep learning models that power our trading ... At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and ...
On our Machine Learning team, you'll build the deep learning models that power our trading ... At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and ...
If you're drawn to hard problems where the research and the product are inseparable, this is the team Description We believe that the most interesting problems in deep learning research arise when we ...
If you're drawn to hard problems where the research and the product are inseparable, this is the team Description We believe that the most interesting problems in deep learning research arise when we ...
Machine Learning Researcher
Manhattan, NY · On-site
Successful candidates will also have deep interest in learning about trading and the financial ... Researchers and developers here are passionate about their work, model building, data and ...
Machine Learning Researcher
Manhattan, NY · On-site
Successful candidates will also have deep interest in learning about trading and the financial ... Researchers and developers here are passionate about their work, model building, data and ...
Machine Learning Researcher
$144K - $187K/yr
Conduct research using machine learning methodologies that integrate financial theory with deep learning and reinforcement learning * Design and develop models that convert AI-extracted signals from ...
Machine Learning Researcher
$144K - $187K/yr
Conduct research using machine learning methodologies that integrate financial theory with deep learning and reinforcement learning * Design and develop models that convert AI-extracted signals from ...
Deep Learning Researcher information
See salary details
$30K - $42.2K
4% of jobs
$42.2K - $54.5K
3% of jobs
$54.5K - $66.7K
18% of jobs
$67K is the 25th percentile. Wages below this are outliers.
$66.7K - $78.9K
9% of jobs
$78.9K - $91.1K
8% of jobs
$91.1K - $103.4K
3% of jobs
$103.4K - $115.6K
3% of jobs
The median wage is $120.2K / yr.
$115.6K - $127.8K
4% of jobs
$127.8K - $140K
3% of jobs
$140K - $152.3K
3% of jobs
$157.1K is the 75th percentile. Wages above this are outliers.
$152.3K - $164.5K
41% of jobs
$30K
$113.1K
$164.5K
How much do deep learning researcher jobs pay per year?
As of Jun 26, 2026, the average yearly pay for deep learning researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.
What are some common challenges faced by Deep Learning Researchers when transitioning models from research to production environments?
Deep Learning Researchers often encounter challenges such as ensuring model robustness, addressing scalability issues, and optimizing computational efficiency when moving models from research to production. Real-world data can be noisier or more variable than research datasets, requiring additional data preprocessing and validation. Collaboration with engineering teams is crucial to integrate models effectively, and researchers may need to adapt their algorithms to meet latency and resource constraints of production environments.
What is a Deep Learning Researcher?
A Deep Learning Researcher is a specialist who develops and investigates advanced algorithms and models that allow computers to learn from large amounts of data, particularly using artificial neural networks. They focus on designing, training, and evaluating deep learning models to solve complex problems in areas like computer vision, natural language processing, and speech recognition. Their work often involves staying up to date with the latest advancements in machine learning and contributing to research publications. Deep Learning Researchers may work in academia, industry, or research labs, collaborating with other scientists and engineers to push the field forward.
What are the key skills and qualifications needed to thrive as a Deep Learning Researcher, and why are they important?
To thrive as a Deep Learning Researcher, you need a strong background in computer science, mathematics, and machine learning principles, typically supported by an advanced degree (Master’s or PhD) in a related field. Proficiency with frameworks like TensorFlow or PyTorch, experience with high-performance computing, and familiarity with relevant programming languages such as Python are essential. Strong problem-solving, collaboration, and communication skills help you innovate and effectively share research findings. These skills and qualities are crucial for advancing state-of-the-art models and driving impactful AI solutions.
What is the difference between Deep Learning Researcher vs Machine Learning Engineer?
| Aspect | Deep Learning Researcher | Machine Learning Engineer |
|---|---|---|
| Credentials | Advanced degrees in AI, CS, or related fields; research publications | Degree in CS, Data Science, or related; practical experience |
| Work Environment | Research labs, academia, R&D departments | Industry, product teams, deployment environments |
| Employer & Industry Usage | Universities, research institutes, tech companies | Tech companies, startups, enterprise firms |
| Primary Focus | Developing new algorithms, theoretical advancements | Implementing models, deploying solutions, optimizing systems |
While both roles involve working with machine learning models, Deep Learning Researchers focus on advancing the theoretical foundations and developing new algorithms, often in research settings. Machine Learning Engineers apply these models in real-world applications, focusing on deployment and system optimization.
More about Deep Learning Researcher jobs
What job categories do people searching Deep Learning Researcher jobs look for? The top searched job categories for Deep Learning Researcher jobs are:
Apple rating
8.1
Based on 662 frontline employees who took The Breakroom Quiz
6th of 30 rated technology retailers
Job description
Play a part in building the next revolution of machine learning technology. We're looking for passionate mid-level and senior researchers to work on ambitious curiosity driven long-term research projects that will impact the future of Apple, and our products. In this role, you'll have the opportunity to work on innovative foundational research in machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues.
Description
You have a strong research background in machine learning or related fields, and regularly publish your results in the main relevant conference and journal venues, and make sure that your research results are of high quality and reproducible. You will propose your own research plan to advance our understanding of machine learning and execute it through implementation and experimentation, in collaboration with your colleagues. You will provide technical mentorship and guidance, and prepare technical reports for publication and conference talks. You will have the opportunity to collaborate with broader teams across Apple.
Minimum Qualifications
Demonstrated expertise in machine learning research
Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc)
Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch
Strong mathematical skills in linear algebra and statistics
Preferred Qualifications
Ability to formulate a research problem, design, experiment, implement and communicate solutions
Ability to work in a diverse collaborative environment
PhD, or equivalent practical experience, in Computer Science, or related technical field
Description
You have a strong research background in machine learning or related fields, and regularly publish your results in the main relevant conference and journal venues, and make sure that your research results are of high quality and reproducible. You will propose your own research plan to advance our understanding of machine learning and execute it through implementation and experimentation, in collaboration with your colleagues. You will provide technical mentorship and guidance, and prepare technical reports for publication and conference talks. You will have the opportunity to collaborate with broader teams across Apple.
Minimum Qualifications
Demonstrated expertise in machine learning research
Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc)
Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch
Strong mathematical skills in linear algebra and statistics
Preferred Qualifications
Ability to formulate a research problem, design, experiment, implement and communicate solutions
Ability to work in a diverse collaborative environment
PhD, or equivalent practical experience, in Computer Science, or related technical field
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976