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Remote Machine Learning Researcher Jobs in New York

Meta

Software Engineer, Machine Learning

San Francisco, CA · On-site +1

$183K/yr

If you're interested in joining a world-class team of engineers and researchers to work on exciting ... Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ...

Injective Labs

Quant Researcher

New York, NY · On-site +1

Apply statistical and machine-learning techniques to generate, validate, and improve trading ... Build and operate data pipelines and research platforms for high-quality, reproducible research.

Digitalturbine

Senior Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

As a Senior Machine Learning Engineer, you'll design and scale the ML systems behind ad ranking ... Stay current with applied ML research and bring innovative techniques to advertising, ranking, and ...

New

Alt

Senior Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

We're hiring a Senior Machine Learning Engineer who thrives on owning models end-to-end, from research through production. In this role, you'll own productization of Alt's pricing and underwriting ...

THOMSON REUTERS

Lead Research Engineer

New York, NY · On-site +1

$112K - $147K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Moody's Analytics

MLOps Engineer

New York, NY · On-site +1

... distributed machine learning systems. Our engineers and researchers are responsible for ... We have a flexible work environment and allow remote work depending on one's personal choice.

SeatGeek

Senior Machine Learning Engineer

New York, NY · On-site +1

$145K - $209K/yr

We are looking for Software Engineers with varying levels of experience to join SeatGeek's R&D team ... learning from others Our stack You do not need experience with all of these, but we thought you ...

Smarsh

Lead Data Scientist

New York, NY · On-site +1

On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to ...

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Remote Machine Learning Researcher information

What is a remote machine learning researcher?

Remote Machine Learning Researchers are professionals who study, design, and develop machine learning algorithms and models while working outside of a traditional office environment. They typically analyze data, conduct experiments, and collaborate with teams or organizations virtually to advance artificial intelligence technologies. Their work may involve tasks such as building predictive models, publishing research papers, or contributing to open-source machine learning projects. Being remote allows them flexibility in location and often the ability to work with international teams. Strong programming, mathematical, and communication skills are essential in this role.

What are the key skills and qualifications needed to thrive as a remote machine learning researcher?

To thrive as a Remote Machine Learning Researcher, you need a strong background in mathematics, statistics, programming (Python, R), and a relevant advanced degree such as a Master's or Ph.D. in computer science or a related field. Familiarity with machine learning frameworks (TensorFlow, PyTorch), cloud computing platforms, and version control systems (Git) is typically required, along with published research or contributions to academic conferences. Outstanding problem-solving ability, self-motivation, and excellent written communication are crucial soft skills for remote collaboration and knowledge sharing. These skills are essential for developing innovative models, contributing to cutting-edge research, and effectively collaborating in a distributed team environment.

What are the common challenges faced by remote machine learning researchers when collaborating with global teams?

Remote machine learning researchers often collaborate with team members across different time zones and cultural backgrounds, which can make synchronous meetings and real-time problem-solving challenging. Communication of complex ideas, such as model architectures or experimental results, may require extra effort through detailed documentation and regular virtual check-ins. However, most organizations use collaborative tools like version control systems, project management platforms, and video conferencing to bridge these gaps, ensuring that research progress stays on track and team members remain aligned.

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Remote Machine Learning Researcher jobs near you
Infographic showing various Remote Machine Learning Researcher job openings in New York as of June 2026, with employment types broken down into 68% Full Time, 16% Part Time, and 16% Contract. Highlights an 100% Remote job distribution.

Quantitative Researcher for Congestion Revenue Rights

Comity

New York, NY • On-site, Remote

$160K - $200K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Why we exist
We're on a mission to improve the reliability, transparency, and efficiency of our energy systems, fostering a future with sustainable and abundant energy. To accomplish our aims, we're leveraging state of the art statistical learning and convex optimization methods (AI) to build the financial rails of our future energy systems that will accelerate the deployment of clean energy resources.
We envision energy systems that are efficient, autonomous, resilient, and powered by 100% renewable energy.
Who we are
Our founders (ex-Apple, Bluevine; ex-Affirm, Square, Google) are Stanford alumni with experience in complex systems, machine learning and structured finance. Our world-class investors, Maverick Ventures and Caffeinated Capital, are aligned to our policy objectives and platform vision.
We have hubs in Chicago, New York City, and San Francisco.
The Role
Comity is looking for a Quantitative Researcher for Congestion Revenue Rights to help us design, deploy, and operate autonomous, systematic strategies that realize economic value from congestion auctions, using our future information (forecasts) and energy systems models, under real-world market constraints. You'll
  • Build a market-leading CRR book leveraging our proprietary technologies
  • Architect autonomous strategies end to end - model, forecasts, market actions
  • Work end-to-end from information development to production-ready code if resources are otherwise occupied

Comity has two core teams: Power Markets and Commercial. This role is part of our Power Markets team.
We're excited about you because:
  • You have 5+ years of experience applying quantitative methods to FTRs, PTP/UTC products, and/or congestion forecasting in ERCOT.
  • You have applied stochastic optimization to problems in financial or electrical engineering, operations research, or economics.
  • You have conceptual fluency with probability theory and good taste for shaping and managing distributions.
  • You have an advanced degree in quantitative finance, computer science, statistics, machine learning, operations research, or a related quantitative field.
  • You are experienced and comfortable developing and monitoring machine learning models.
  • You are a skilled programmer in Python.
    More importantly -
    • You are extraordinarily driven - you're relentless in getting research artifacts into production and willing and capable to work end-to-end (forecasts, models, optimization, production-quality code) when supporting resources are contended.
    • You love winning - while you prioritize well, there's no task too tedious if it drives performance.
    • You are predisposed to collaboration - we maintain a highly open and discursive environment which rewards the refinement of everyone's ideas and requires genuine curiosity.
Location
We have hubs in Chicago, New York City, and San Francisco.
At Comity, we seek to recruit, develop, and retain the most talented people from a diverse candidate pool. Our priority is to ensure that all applicants are provided with fair and equal access to employment opportunities. Recruiting and hiring decisions are made without regard to race, color, religion, sex, national origin, age, disability, or any other class protected by law.

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