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Machine Learning Intern Remote Jobs in Suffern, NY

Moody's Analytics

MLOps Engineer

New York, NY · On-site +1

We have a flexible work environment and allow remote work depending on one's personal choice. Responsibilities: As the Machine Learning Ops Engineer for the AI Team you will: * Work closely with the ...

IIRR

MEL Officer - Intern

New York, NY · On-site +1

$16.50 - $22/hr

... Learning (MEL) Officer intern. Interns in this role will help support the development of knowledge ... a remote working environment * Passionate about making a positive difference Application ...

New

IIRR

MEL Officer - Intern

New York, NY · Remote

$15.25 - $20.50/hr

... Learning (MEL) Officer intern. Interns in this role will help support the development of knowledge ... a remote working environment * Passionate about making a positive difference Application ...

C the Signs

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Mercor

ML Engineer - AI Coding Expert

New York, NY · Remote

$85/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks. * Review model-generated implementations involving model ...

Mercor

ML Engineer - AI Coding Expert

New York, NY · Remote

$85/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks. * Review model-generated implementations involving model ...

Mercor

ML Engineer - Coding Agent Expert

New York, NY · Remote

$85/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks. * Review model-generated implementations involving model ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Remote JobsMachine Learning Intern Remote Jobs in Suffern, NY

Machine Learning Intern Remote information

See Suffern, NY salary details

$26K

$43.5K

$89.9K

How much do machine learning intern remote jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning intern remote in Suffern, NY is $43,483.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,200.00 and $47,000.00 per year, depending on experience, location, and employer.

What does a machine learning intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.

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

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a machine learning intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What job categories do people searching Machine Learning Intern Remote jobs in Suffern, NY look for?

The top searched job categories for Machine Learning Intern Remote jobs in Suffern, NY are:

What cities near Suffern, NY are hiring for Machine Learning Intern Remote jobs?

Cities near Suffern, NY with the most Machine Learning Intern Remote job openings:

Machine Learning Intern Remote jobs near you

Machine Learning Research Engineer (MLRE) - GPUs

Achira

New York, NY • On-site, Remote

$164K - $259K/yr

Full-time

Re-posted 4 days ago

Job description

Why Achira
At Achira, we are building a team of world-class scientists, ML researchers, and engineers to work together to move beyond the beaten path in drug discovery. We are actively exploring the next frontier of model architectures for AI x Chemistry: developing world models for the physical microcosm. Our goal is to make biology at the molecular level something that can be learned, predicted, and designed.
At Achira, you'll operate at the frontier scale of massive compute, massive data, and massive ambition. You'll own impactful work end-to-end, from ideation to architecture to deployment on distributed infrastructure. We are a well-funded, talent-dense organization that values rigor, speed, execution, and an ownership mindset. We're looking for new members who share our sense of relentless urgency and are natural collaborators who value team success.
About the Role
We're looking for a rare individual who thrives at the intersection of cutting-edge deep learning architectures and high-performance computing. You will help shape the future of molecular machine learning by engineering high-efficiency implementations of advanced architectures for foundation simulation models, accelerating simulations to the limits of the hardware while maintaining fidelity to the underlying physics.
While we prefer candidates willing to relocate to San Francisco or New York City, we are willing to consider full-time remote candidates of exceptional talent who are willing to travel frequently to our two office sites. Travel is part of all roles at Achira, both to conferences and corporate on-site activities.
What You'll Do
  • Take existing PyTorch and JAX, profile and optimize it without compromising model accuracy, reproducibility, and robustness with respect to scientific objectives.
  • Develop with frameworks like CUDA, Triton, Warp, etc. to accelerate performance critical code sections.
  • Liaise with NVIDIA to represent our needs and implement their tooling in our environment.
  • Work day-to-day with scientists to identify areas of greatest impact, including travel to our SF and NY working groups to collaborate.

About You
  • Engineer with at least two years professional experience in GPU optimization.
  • Deep understanding of GPU programming fundamentals.
  • Solid track record of observable artifacts (e.g., GitHub) showing optimization work.
  • Experience collaborating on software projects across multi-person teams.

Nice to Have
Even if you hit none of these bonus features, we encourage you to apply!
  • Experience working with multi-cloud distributed compute systems.
  • Experience working with multi-site distributed company team.
  • Experience working with equivariant architectures that operate on 3-D point clouds.

Apply