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Machine Learning Research Intern Jobs in Warren, NJ

Virtu Financial

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within ... Conduct empirical ML research across multiple problem domains, rapidly prototyping and iterating ...

Virtu Financial

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within ... Conduct empirical ML research across multiple problem domains, rapidly prototyping and iterating ...

Crowe LLP

Machine Learning Intern

New York, NY

$27 - $42/hr

To that end, there are three major components with which an intern should expect to engage ... research and exploration, development, deployment, support Using correct model selection and ...

Crowe LLP

Machine Learning Intern

Livingston, NJ

$27 - $42/hr

To that end, there are three major components with which an intern should expect to engage ... research and exploration, development, deployment, support Using correct model selection and ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... The interview process follows the same structure as our Software Engineering Intern interviews ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... The interview process follows the same structure as our Software Engineering Intern interviews ...

New York University

Research Intern

New York, NY · On-site

$48K - $62K/mo

... paid Research Intern to work with Prof. Nasir Memon. New York University (NYU) is one of the top ... and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a ...

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All JobsMachine Learning Research Intern JobsMachine Learning Research Intern Jobs in Warren, NJ

Machine Learning Research Intern information

See Warren, NJ salary details

$26.5K

$44.2K

$91.4K

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

As of Sep 14, 2026, the average yearly pay for machine learning research intern in Warren, NJ is $44,223.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,800.00 and $47,800.00 per year, depending on experience, location, and employer.

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.

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

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What cities near Warren, NJ are hiring for Machine Learning Research Intern jobs?

Cities near Warren, NJ with the most Machine Learning Research Intern job openings:

Machine Learning Research Intern jobs near you
Infographic showing various Machine Learning Research Intern job openings in Warren, NJ as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $44,223 per year, or $21.3 per hour.

Machine Learning Research Engineer (MLRE) - Research

New York, NY • On-site

Achira
See more jobs at Achiraexternal

$164K - $259K/yr

Full-time

Re-posted 17 days ago

Key responsibilities

  • Design and run experiments to test hypotheses on foundation model development.

  • Engineer evaluation metrics and develop scalable libraries for training, experimentation, and simulation.

  • Implement model architectures from literature and in collaboration with researchers to advance molecular simulation.

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 applied machine learning research and rigorous software engineering. You will advance the state of the art in foundation simulation models by implementing and experimenting with internal and literature-sourced ideas, participating with research teams to scale our ML systems, train and evaluate models, and engineer scientific prototypes into production.
While we prefer candidates willing to work from our San Francisco office, highly skilled candidates may be considered for working from New York City with travel to San Francisco as needed. Both locations are offered as hybrid roles, spending at least some of your time working from the office in collaboration with coworkers. Travel is part of all roles at Achira, both to conferences and corporate on-site activities
What You'll Do
  • Design and run experiments to test out hypotheses on the path to foundation model development.
  • Engineer meaningful evals and metrics which enable rapid model iteration.
  • Design, build and maintain scalable, reproducible libraries for training, experimentation evaluation, and simulation, in service of large-scale research initiatives.
  • Implement model architectures both from the literature and developed in collaboration with our in-house researchers that push the boundaries of molecular simulation.
  • Enable agent-driven research and workflows and maintain guardrails on agentic tooling.
  • Help prepare manuscripts, software artifacts, and datasets for public release.

About You
  • Strong software engineering fundamentals, with experience not just building one-off scripts but reproducible pipelines for research, writing necessary documentation, and observing coding best-practices.
  • Track record of observable artifacts (e.g., GitHub, papers) showing work in ML or scientific computing libraries.
  • Solid working knowledge of PyTorch and JAX and the modern ML research stack.
  • Comfortable with HPC or large-scale compute environments, and used to thinking on the scale of hundreds or thousands (or even more!) fits running at once.
  • Sufficient scientific depth to engage with the research questions, whether developed through prior industry experience or during a PhD.

Nice to Have
Even if you hit none of these bonus features, we encourage you to apply!
  • Experience with equivariant architectures, geometric deep learning, or GNNs (NequIP, MACE, SchNet, PaiNN, or similar).
  • Familiarity with generative modeling: diffusion models, flow matching, score-based methods.
  • Regular involvement in open-source ML or scientific computing libraries.
  • Experience building agent-driven research, active learning, and data curation pipelines.

Apply