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Machine Learning Research Intern Jobs in Warren, NJ

Modal, Inc

ML Research Intern

New York, NY · On-site

We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our ...

Jane Street

Machine Learning Educator

New York, NY · On-site

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 ...

New York University

Research Associate

New York, NY · On-site

$2.8K - $3.8K/wk

Expectations Candidates will be responsible for developing a machine learning prototype model using C++. The successful candidate will have a demonstrated background in machine learning research as ...

Jane Street

Machine Learning Researcher

New York, NY · On-site

On our Machine Learning team, you'll build the deep learning models that power our trading ... Intellectual curiosity and excitement about state-of-the-art research across many ML problem ...

Jane Street

Machine Learning Educator

New York, NY

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 ...

Jane Street

Machine Learning Researcher

New York, NY · On-site

On our Machine Learning team, you'll build the deep learning models that power our trading ... Intellectual curiosity and excitement about state-of-the-art research across many ML problem ...

Jane Street

Machine Learning Researcher

New York, NY · On-site

On our Machine Learning team, you'll build the deep learning models that power our trading ... Intellectual curiosity and excitement about state-of-the-art research across many ML problem ...

Jane Street

Machine Learning Researcher

New York, NY · On-site

On our Machine Learning team, you'll build the deep learning models that power our trading ... Intellectual curiosity and excitement about state-of-the-art research across many ML problem ...

Spgi

Machine Learning Engineer

New York, NY · On-site +1

$209K - $250K/yr

Machine Learning Engineer Location: 55 Water Street, New York, NY 10041 (Telecommuting permitted ... Conduct original research and data analysis on large proprietary and open-source data sets to ...

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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 Aug 12, 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 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 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 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.

ML Research Intern

Modal, Inc

New York, NY • On-site

Full-time

Posted 13 days ago

Job description

About Us:
AI needs a new infrastructure layer. We're building it at Modal.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Lovable, Ramp, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September.
Our team includes creators of popular open-source projects (e.g.,Seaborn,Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
The Role:
We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. This internship is well suited to candidates interested in improving existing methods and developing new techniques for large-scale model training, optimization, and inference, extending models to long-context and long-horizon tasks, and improving inference-time efficiency, reliability, and robustness in high-stakes real-world deployments.
Preferred Qualifications:
  1. Currently pursuing a PhD in computer science, machine learning, or a related field.
  2. A demonstrated record of research in reinforcement learning, machine learning, foundation models, or related areas.
  3. Experience developing and evaluating large-scale models or machine learning systems.
  4. Familiarity with distributed training, large-scale inference, or multi-GPU environments.
  5. Publications at leading venues such as NeurIPS, ICML, ICLR, CVPR, CoRL, UAI, JMLR, or TMLR.
  6. Strong programming and engineering skills, with the ability to translate research ideas into working implementations.
  7. A collaborative, mission-driven mindset and the ability to work effectively across research and engineering teams.

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