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Machine Learning Researcher Jobs (NOW HIRING)

About the Position Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Researcher while also providing a truly unparalleled educational experience.

About the Position Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Researcher while also providing a truly unparalleled educational experience.

Machine Learning Researchers help solve the unsolved. They use their knowledge in mathematics, optimization, and computer science to create new algorithms to solve previously unsolved problems. What ...

Machine Learning Researchers help solve the unsolved. They use their knowledge in mathematics, optimization, and computer science to create new algorithms to solve previously unsolved problems. What ...

GREENFIELD AI LAB - Machine Learning Research Engineer NYC/Chicago · Quantitative Trading · Full-time Greenfield AI initiative at a globally-respected trading firm. You'll work directly on systems ...

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within a results-oriented, agile organization. This role offers the rare combination of intellectual ...

Machine Learning Researchers help solve the unsolved. They use their knowledge in mathematics, optimization, and computer science to create new algorithms to solve previously unsolved problems. What ...

About the Role We're seeking a talented Machine Learning Researcher to join our core R&D team. This role involves designing and implementing advanced machine learning models for EEG-based neural ...

IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a ...

IMC Trading is a global trading firm seeking quantitative researchers to apply state-of-the-art machine learning and deep learning to solve challenging trading problems. The role involves designing ...

OpenReq is focused on innovative AI chip technology, and they are seeking a Machine Learning Researcher to lead research efforts on compute trade-offs for enhanced understanding and speed. The role ...

Engineering Group, Engineering Group > Machine Learning Researcher General Summary: Qualcomm AI Research is looking for world-class researchers in artificial intelligence to join our team. Members of ...

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 ...

MSCI is establishing a Machine Learning Center of Excellence within the Research & Development team to develop machine learning models that power investment tools for institutional clients. We are ...

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Machine Learning Researcher information

See salary details

$30K

$113.1K

$164.5K

How much do machine learning researcher jobs pay per year?

As of Jul 9, 2026, the average yearly pay for machine 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 Machine Learning Researchers face when transitioning from academic research to industry roles?

Machine Learning Researchers often find that transitioning to industry involves adapting to faster project timelines, collaborative workflows, and a focus on scalable, real-world solutions rather than theoretical advances alone. In industry, you'll likely work closely with cross-functional teams, such as software engineers and product managers, to ensure models are both practical and maintainable. Balancing innovation with business objectives, handling production constraints, and communicating complex findings to non-technical stakeholders are some of the key challenges you may encounter.

What are the key skills and qualifications needed to thrive as a Machine Learning Researcher, and why are they important?

To thrive as a Machine Learning Researcher, you need deep expertise in mathematics, statistics, programming (typically Python), and a strong academic background in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch and experience with tools for data analysis and model development are standard, often supported by advanced degrees or relevant certifications. Critical thinking, creativity, and effective communication are vital soft skills for developing novel solutions and collaborating across interdisciplinary teams. These skills enable researchers to design innovative algorithms, validate models rigorously, and contribute impactful advancements in the field.

What is the difference between Machine Learning Researcher vs Data Scientist?

AspectMachine Learning ResearcherData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceDegree in CS, statistics, or related; strong analytical skills
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, consulting
Employer & Industry UsageUniversities, research institutions, tech firmsCorporations, startups, finance, healthcare
Common Search & ComparisonFocus on theoretical ML advancementsFocus on data analysis & business insights

While both roles involve working with data and algorithms, Machine Learning Researchers primarily focus on developing new algorithms and advancing ML theory, often in research or academic settings. Data Scientists apply these techniques to analyze data, generate insights, and support business decisions in industry environments.

What does a Machine Learning Researcher do?

A Machine Learning Researcher designs, develops, and tests algorithms and models that allow computers to learn from and make decisions based on data. They often work on advancing the field by exploring new methods, improving existing algorithms, and publishing their findings. These researchers collaborate with engineers and data scientists to apply their research to practical problems in areas like computer vision, natural language processing, and robotics. Their work typically involves a combination of mathematics, statistics, programming, and experimentation.
What cities are hiring for Machine Learning Researcher jobs? Cities with the most Machine Learning Researcher job openings:
What are the most commonly searched types of Machine Learning Researcher jobs? The most popular types of Machine Learning Researcher jobs are:
What states have the most Machine Learning Researcher jobs? States with the most job openings for Machine Learning Researcher jobs include:
Infographic showing various Machine Learning Researcher job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.
Machine Learning Researcher

Machine Learning Researcher

Morgan Stanley

Manhattan, NY • On-site

Full-time

Posted 4 days ago


Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 151 frontline employees who took The Breakroom Quiz

40th of 146 rated financial services


Job description

Job Summary:
Morgan Stanley's Machine Learning Research Department is dedicated to solving mission-critical problems across various business units and technology teams. They are seeking a candidate who can tackle research problems with commercial applications, leveraging their academic expertise in real-world financial issues.
Responsibilities:
• Development experience in Python or R (C, C++, Java, etc is a plus)
• Deep understanding of statistical learning methods
• Strong communications and organizational skills
• 4+ years of applicable research experience
Qualifications:
Required:
• Development experience in Python or R (C, C++, Java, etc is a plus)
• Deep understanding of statistical learning methods
• Strong communications and organizational skills
• 4+ years of applicable research experience
• Bachelor's degree required, Ph.D. desired
Preferred:
• Track record of exceptionally creative, hands-on, high-impact machine learning research and applications, evidenced by publications in competitive venues
• Broad experience across multiple fields
Company:
Morgan Stanley is a financial services institution that delivers capital management, investment banking, and advisory solutions. Founded in 1935, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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