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Machine Learning Research Scientist Jobs in New York

Jane Street

Machine Learning Research Engineer

New York, NY · On-site

$224K/yr

We are looking for a Research Engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform.

Mercor

ML Research Scientist - PhD

New York, NY · Remote

$110 - $145/hr

Review complex machine learning research for alignment with domain principles and methodologies ... PhD in Machine Learning , Computer Science , AI , or a closely related field. * Published at least ...

Mercor

ML Research Scientist - PhD

New York, NY · Remote

$60 - $100/hr

Review complex machine learning research for alignment with domain principles and methodologies ... PhD in Machine Learning , Computer Science , AI , or a closely related field. * Published at least ...

Zencastr

Senior Machine Learning Engineer (Remote)

New York, NY · On-site +1

$114K - $157K/yr

We are looking for an outstanding machine learning engineer to join our team! The role will provide ... As an integral part of the squad, you will collaborate with research scientists, data scientists ...

Anysphere, Inc

Research Scientist

New York, NY · On-site

Research Scientist Cursor is building the future of coding. We train frontier coding agents and ... You have a deep background in RL and strong machine learning fundamentals * You're an excellent ...

Scaled Cognition

Research Scientist

New York, NY · Remote

As a Research Scientist at Scaled Cognition you will: * Develop and implement novel, next ... Work closely with machine learning and product engineers to direct research toward strategic ...

Anysphere

Research Scientist

Manhattan, NY · On-site

Anysphere is focused on automating coding and is seeking Research Scientists to drive effective RL ... Required : • You have a deep background in RL and strong machine learning fundamentals • You're ...

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All JobsMachine Learning Research Scientist JobsMachine Learning Research Scientist Jobs in New York

Machine Learning Research Scientist information

See New York salary details

$55.2K

$142.4K

$190.4K

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

As of Sep 1, 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 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 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 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 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:

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The top searched job categories for Machine Learning Research Scientist jobs in New York are:

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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, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $142,352 per year, or $68.4 per hour.

Research Scientist, Reinforcement Learning

Basis Research

New York, NY • On-site

$120K - $180K/yr

Full-time

Re-posted 12 days ago

Job description

About Basis
Basis is a nonprofit applied AI research organization with two mutually reinforcing goals.
The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles.
The second is to advance society's ability to solve intractable problems. This means expanding the scale, complexity, and breadth of problems that we can solve today, and even more importantly, accelerating our ability to solve problems in the future.
To achieve these goals, we're building both a new technological foundation that draws inspiration from how humans reason, and a new kind of collaborative organization that puts human values first.
About the Role
Research scientists lead Basis' efforts to develop a deeper understanding of the conceptual, mathematical, and computational principles of intelligence.
We are looking for people who are technically excellent, and who value probing concepts at their foundations. Our research scientists/engineers aspire to do rigorous, high-quality, robust science, but are not afraid to tinker, make mistakes, and explore radically different ideas in order to get there.
Basis is a collaborative effort, both internally and with our external partners; we are looking for people who enjoy working with others on problems larger than ones they can tackle alone.
Research Focus
Our research within the MARA project aims to develop new foundations and technologies for modeling, abstraction, and reasoning in AI systems. MARA's overarching goal is to uncover principled methods for how intelligence constructs, refines, and utilizes world models through interactive experimentation.
For this role, we are specifically looking for experts in Reinforcement Learning & Planning who can advance the state of the art in model-based RL, exploration strategies, optimal control, and Bayesian optimization. You will work on developing agents that can learn efficient policies in complex, partially observable environments by leveraging structured world models.
The immediate mission of MARA is to solve concrete challenges such as AutumnBench, physical and simulated robotics benchmarks, and the Abstract Reasoning Corpus (ARC), with the broader mission of building systems capable of learning in an open, growing portfolio of domains using human-comparable amounts of data and interaction.
Who we're looking for
  • Researchers holding a PhD in computer science, artificial intelligence, machine learning, cognitive science, or related fields.
  • Strong background in reinforcement learning, planning, MDPs, optimal control, and sequential decision making.
  • Experience in developing AI systems that combine neural and symbolic methods is highly valued.
  • Interest in foundational AI research and its applications to modeling, abstraction, and reasoning.
  • Individuals with a demonstrated track record in scientific research, evidenced through publications, technical reports, or impactful software projects.
  • Excited about solving real world problems and having positive societal impact.

Responsibilities
  • Conduct independent and collaborative research focused on the MARA project.
  • Develop new methods and algorithms for reinforcement learning, planning, and decision-making in AI systems.
  • Apply these methods to concrete challenges such as AutumnBench, physical and simulated robotics environments, and other domains.
  • Disseminate research findings through academic publications and presentations at leading conferences.
  • Provide mentorship to junior team members and contribute to the scientific discourse through seminars, workshops, and collaborative projects.
  • Develop and maintain open-source software
  • (Optionally) Publish and present findings in journals and conferences
  • Contribute to the culture and direction of Basis
Role Details
Exceptional candidates who may not meet all of the following criteria are still encouraged to apply.
  • FT/PT: This is a full-time position
  • In-person Policy: We are in the office four days a week. Be prepared to attend multi-day Basis-wide in-person events.
  • Location: This role is in-person in either New York City or Cambridge, MA.
  • Salary range: Competitive salary.
  • Start date: Immediate start possible.

Non-Discrimination Notice
Basis Research Institute provides equal employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or genetics and prohibits discrimination based on all protected characteristics.
Privacy Notice
By submitting your application, you grant Basis permission to use your materials for both hiring evaluation and recruitment-related research and development purposes. Your information may be processed in different countries, including the US. You retain copyright while providing Basis a license to use these materials for the stated purposes.
Read our full Global Data Privacy Notice here.

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