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Machine Learning Researcher Jobs in New York (NOW HIRING)

Is good at writing code, and is excited to spend a significant fraction of their time doing so as part of our machine learning research. The job requires developing an understanding of our technology ...

Is good at writing code, and is excited to spend a significant fraction of their time doing so as part of our machine learning research. The job requires developing an understanding of our technology ...

D. or equivalent experience in Computer Science, Machine Learning, Operations Research, or related fields. * Demonstrated experience working in cross-functional teams bridging ML research with ...

The core of our effort is rigorous research into a wide range of market anomalies, fueled by our ... Role/Responsibilities: We are seeking a Machine Learning Engineer to join the High Frequency ...

Research and implement appropriate ML algorithms and tools * Develop machine learning applications according to requirements * Select appropriate datasets and data representation methods * Run ...

The core of our effort is rigorous research into a wide range of market anomalies, fueled by our ... Role/Responsibilities: We are seeking a Machine Learning Engineer to join the High Frequency ...

Machine Learning Engineer

Manhattan, NY · On-site

$170.17 - $255.26/hr

S. or equivalent) in Engineering (any), Computer Science, Operations Research, Mathematics, Physics or a related field * At least 2 years of experience in Machine Learning or a related role * At ...

Goodfire is a research company focused on building safe and powerful AI systems through interpretability. They are seeking Machine Learning Engineers to develop their platform for training ...

Goodfire is a research company focused on understanding and designing AI systems. They are seeking Machine Learning Engineers to build a platform for training, evaluating, and deploying interpretable ...

Research and Innovation: Stay up-to-date with the latest developments in machine learning and AI, and explore new techniques and technologies that could benefit Hang. * Technical Leadership: Provide ...

Research, design, and implement novel machine learning solutions using modern architectures to tackle complex business problems. * Rapid Prototyping & Iteration: Build and manage efficient pipelines ...

With at least 2 years industry experience (post Masters or PhD) in a commercial, non-research ... This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists, Simulation ...

Bridge the gap between research and production by building scalable machine learning pipelines and optimizing model inference engines. Responsibilities * Optimize inference engines for sub ...

Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading ... Your work will also focus on enhancing research workflows to tighten our feedback cycles.

Showing results 41-60

Machine Learning Researcher information

See New York salary details

$32.8K

$123.7K

$180K

How much do machine learning researcher jobs pay per year?

As of Aug 14, 2026, the average yearly pay for machine learning researcher in New York is $123,737.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,300.00 and $168,500.00 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?

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 are the most commonly searched types of Machine Learning Researcher jobs in New York?

The most popular types of Machine Learning Researcher jobs in New York are:

Infographic showing various Machine Learning Researcher job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,737 per year, or $59.5 per hour.

Machine Learning Educator

Jane Street

New York, NY • On-site

Full-time

Re-posted 19 days ago


Job description

About the Position
We're looking for an experienced and skilled educator to help us teach people at Jane Street about machine learning.
Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. Our ML team is full of people with a shared love for the craft of software engineering, and for designing APIs and systems that are delightful to use.
Education is also a big focus for us. We believe that continued learning and exploration will play an essential role in supporting our growth. As Machine learning permeates through every part of our stack, we want to invest more.
The ML Educator will be instrumental in maintaining and growing our ML educational programs and classes, spanning topics such as an introduction to general ML, efficient use of AI assistants, our internal stack for training models, and how to reason about performance. We're looking for someone who:
  • Is a skilled, effective, and experienced teacher. Part of that means being an effective writer and presenter.
  • Is good at writing code, and is excited to spend a significant fraction of their time doing so as part of our machine learning research. The job requires developing an understanding of our technology stack, and the best way to build that understanding is by doing.
  • Is a great mentor to other budding teachers. Part of the job is going to be teaching and developing curricula. But an equally important part is going to be helping other people involved in teaching to grow their skills.

We're excited to talk to people who have experience teaching ML topics in a university or an industry setting.
If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.