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Machine Learning Research Scientist information

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$55.2K

$142.4K

$190.4K

How much do machine learning research scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning research scientist in New York is $142,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,600.00 and $189,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine learning research scientist?

To thrive as a Machine Learning Research Scientist, you need a strong background in mathematics, statistics, programming (typically Python or similar), and experience with machine learning frameworks, usually supported by an advanced degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Scikit-learn, and proficiency in data handling and cloud platforms is highly valued, alongside certifications like Google Cloud ML Engineer as a plus. Innovative thinking, strong communication, and effective problem-solving skills help set exceptional researchers apart. Mastery of both technical and soft skills is essential for developing impactful models, collaborating across multidisciplinary teams, and staying ahead in this fast-evolving field.

What does a machine learning research scientist do?

As a Machine Learning Research Scientist, your typical projects may include developing novel algorithms, conducting experiments on large datasets, implementing and tuning models, and publishing research findings. Your daily responsibilities often involve coding, data analysis, reading the latest literature, collaborating with engineers and product teams, and participating in internal discussions about research direction. You may also mentor junior researchers, contribute to open-source projects, and present results at conferences or internal meetings. This role offers a dynamic work environment where continuous learning and innovative problem-solving are highly encouraged.

What is a machine learning research scientist?

A Machine Learning Research Scientist develops new algorithms and models to advance the field of artificial intelligence. They conduct experiments, analyze data, and publish research to push the boundaries of machine learning theory and applications. Their work often involves designing novel architectures, optimizing existing models, and collaborating with engineers to bring research into production. This role typically requires a deep understanding of mathematics, statistics, and programming, along with experience in areas like deep learning, reinforcement learning, or probabilistic modeling.

What are the most commonly searched types of Machine Learning Research Scientist jobs in New York? The most popular types of Machine Learning Research Scientist jobs in New York are:
What are popular job titles related to Machine Learning Research Scientist jobs in New York? For Machine Learning Research Scientist jobs in New York, the most frequently searched job titles are:
What job categories do people searching Machine Learning Research Scientist jobs in New York look for? The top searched job categories for Machine Learning Research Scientist jobs in New York are:
What cities in New York are hiring for Machine Learning Research Scientist jobs? Cities in New York with the most Machine Learning Research Scientist job openings:
Machine Learning Research Scientist jobs near you
Infographic showing various Machine Learning Research Scientist job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $142,352 per year, or $68.4 per hour.

Machine Learning Research Scientist

Strivector

Manhattan, NY • On-site

Other

Posted 3 days ago

New

Job description

Machine Learning Research ScientistIntroduction:

We are seeking a Machine Learning Research Scientist capable of independently tackling research problems with commercial applications. The ideal candidate will apply technical expertise and research acumen to real-world financial and operating problems in our New York, NY office.

Responsibilities:
  • Conduct research on machine learning algorithms and their applications in finance
  • Develop models and tools for analyzing large datasets and extracting insights
  • Collaborate with cross-functional teams to implement machine learning solutions
  • Publish research findings in academic journals and present at conferences
  • Stay current on the latest advancements in machine learning and finance
Requirements:
  • Development experience in Python or R (C, C++, Java, etc is a plus)
  • Machine Learning experience
  • Deep understanding of statistical learning methods
  • Strong communications and organizational skills
  • 4+ years of applicable research experience
  • Bachelor''s degree required, Ph.D. desired

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