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Deep Learning Researcher Jobs (NOW HIRING)

Seven Research

Deep Learning Researcher

Manhattan, NY

$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 ...

Seven Research

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 ...

Seven Research

Deep Learning Researcher

New York, NY

$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 ...

E Ink

Deep Learning Researcher

Billerica, MA · Hybrid

$130K - $160K/yr

This position is also eligible for our bonus program . (see E Ink Our Company) The Deep Learning Center at E Ink is seeking a Deep Learning Researcher to develop and improve product development and ...

E Ink

Deep Learning Researcher 1900S-2

Billerica, MA · Hybrid

$130K - $160K/yr

This position is also eligible for our bonus program . (see E Ink Our Company) The Deep Learning Center at E Ink is seeking a Deep Learning Researcher to develop and improve product development and ...

E Ink

Deep Learning Researcher 1900S-2

Billerica, MA · On-site

$130K - $160K/yr

This position is also eligible for our bonus program . (see E Ink / Our Company) The Deep Learning Center at E Ink is seeking a Deep Learning Researcher to develop and improve product development and ...

Virtu Financial

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

Results oriented mindset with a focus on developing deep learning models that directly impact P&L ... Conduct empirical ML research across multiple problem domains, rapidly prototyping and iterating ...

Virtu Financial

Machine Learning Researcher

New York, NY

$200K - $300K/yr

Results oriented mindset with a focus on developing deep learning models that directly impact P&L ... Conduct empirical ML research across multiple problem domains, rapidly prototyping and iterating ...

pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7K - $10K/mo

Experience with deep learning research and tools. * Proficiency in software design and development using Python and C++. * Experience working with large-scale datasets, data preprocessing, and ...

Citadel

Deep Learning ML Researcher

Miami, FL

Researchers build and deploy models across equities, options, fixed income, and derivatives domains, often working with petabyte-scale data. Models incorporate advanced techniques: deep learning ...

pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7K - $10K/mo

Experience with deep learning research and tools. * Proficiency in software design and development using Python and C++. * Experience working with large-scale datasets, data preprocessing, and ...

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Deep Learning Researcher information

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$30K

$113.1K

$164.5K

How much do deep learning researcher jobs pay per year?

As of Jun 3, 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 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 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 is the difference between Deep Learning Researcher vs Machine Learning Engineer?

AspectDeep Learning ResearcherMachine Learning Engineer
CredentialsAdvanced degrees in AI, CS, or related fields; research publicationsDegree in CS, Data Science, or related; practical experience
Work EnvironmentResearch labs, academia, R&D departmentsIndustry, product teams, deployment environments
Employer & Industry UsageUniversities, research institutes, tech companiesTech companies, startups, enterprise firms
Primary FocusDeveloping new algorithms, theoretical advancementsImplementing 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:
Deep Learning Researcher jobs near you
Infographic showing various Deep Learning Researcher job openings in the United States as of May 2026, with employment types broken down into 5% Internship, 70% Full Time, 10% Part Time, and 15% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Deep Learning Researcher

Seven Research

Manhattan, NY

$200K - $300K/yr

Other

Posted 20 days ago

Job description

Why Work with Us
Solve unsolved problems. At Seven Research, our close-knit team unites brilliant minds passionate about pushing technological and scientific boundaries in the global markets. We provide state-of-the-art resources and cultivate intellectual freedom, enabling our people to develop groundbreaking solutions to the most complex challenges of our field. Our collaborative approach celebrates excellence from everyone, regardless of tenure.
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 pioneer advanced methodologies, uncover sophisticated insights, and implement innovative approaches within our teams.
What We're Looking For
We seek talented and knowledgeable problem-solvers with strong backgrounds in deep learning to come build with us. No financial knowledge is expected. Deep Learning Researcher candidates should have demonstrated strong applied research and critical analysis skills. We value team members who communicate clearly and can exercise ownership over projects. If working on challenging quantitative problems in a close-knit, research-driven environment excites you, we'd love to get to know you.
The ideal candidate will possess most of the following:
  • PhD degree in computer science or a related field
  • Mastery of deep learning techniques and proven track record of building sophisticated predictive models using deep learning
  • Publications in relevant journals and/or conference presentations
  • Strong programming skills, including mastery of Python
  • Strong problem-solving skills and research acumen
  • Strong communication skills to articulate complex technical concepts
  • Experience working with large data sets and computationally intensive projects
  • Experience with high-performance computing

Job Compensation Range
The base salary range for this role is $200,000 - $300,000. This does not include other forms of compensation and benefits that are part of Seven Research's comprehensive package. We will provide additional detail about compensation and benefits during our hiring process.
We are an equal opportunity employer and prohibit discrimination and harassment without regard to race, religion, age, sex, or any other characteristic protected by law.
If you have any questions, please contact us at careers@sevenresearch.com.

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