ZipRecruiter

Log In

1

Machine Learning Research Intern Jobs in Williamstown, MA

ACS Consultancy Services

AI/ML Engineer

Albany, NY · Remote

Stay current with the latest research and trends in machine learning and artificial intelligence. Requirements * Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or ...

Basis Research

GTM Lead, UK/EU & US

Cambridge, NY · On-site

Possess sufficient technical depth to engage credibly with both AI researchers and enterprise customers. You should understand machine learning concepts, probabilistic programming, and AI ...

Accenture

Responsible AI Engineer

Albany, NY · On-site

We'll be engaging regulators to help shape the policy agenda, conducting pioneering research with ... Machine Learning Visualization Tools * Minimum of 3 years of experience in the following:

Labcorp

Customer Service Support Representative

Albany, NY · On-site

$17.75 - $22/hr

Work in multiple databases to research complex issues and questions * Notify clients of test ... Join us and discover a path filled with opportunities for growth, continuous learning, professional ...

next page

Showing results 1-20

All JobsMachine Learning Research Intern JobsMachine Learning Research Intern Jobs in Williamstown, MA

Machine Learning Research Intern information

See Williamstown, MA salary details

$25.3K

$42.3K

$87.3K

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

As of Sep 2, 2026, the average yearly pay for machine learning research intern in Williamstown, MA is $42,267.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 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 job categories do people searching Machine Learning Research Intern jobs in Williamstown, MA look for?

The top searched job categories for Machine Learning Research Intern jobs in Williamstown, MA are:

What cities near Williamstown, MA are hiring for Machine Learning Research Intern jobs?

Cities near Williamstown, MA with the most Machine Learning Research Intern job openings:

Machine Learning Research Intern jobs near you

Research Scientist, Foundation Model

Prior Labs

Berlin, NY • On-site

Full-time

Re-posted 13 days ago

Job description

Who we are
Foundation models transformed text and images. Structured data - the largest and most consequential data format in the world - stayed untouched, until now. What LLMs did for language, we're doing for tables.
We pioneered tabular foundation models: TabPFN v2 was a Nature cover story, has passed 3.5M+ downloads and 7,500+ GitHub stars, and runs in production from detecting lung disease with Oxford Cancer Analytics to preventing train failures with Hitachi. The hardest problems - millions of rows, real-time inference, entirely new modalities - are still open, and no one else is working on them at this level.
We're a small, highly selective team of 40+ with backgrounds from Google, DeepMind, Meta, Apple, Amazon, Jane Street, and CERN, led by Frank Hutter, Noah Hollmann, and Sauraj Gambhir, and advised by Bernhard Schölkopf and Turing Award winner Yann LeCun.
In July 2026, less than 18 months after our €9M pre-seed, we joined SAP as an independent frontier AI lab - same team, mission, and open-weights models, now backed by more than €1 billion over four years.
About the role
Tabular data breaks the assumptions that make scaling work for language and vision. There's no natural sequence, no spatial structure, no shared vocabulary across datasets. The architectures and scaling laws that power LLMs don't transfer. We've made the first breakthrough with TabPFN - the hardest problems are still ahead.
At Prior Labs, Research Scientists drive the core model agenda. You'll define research directions, design novel architectures, and publish work that advances the field, while ensuring your ideas translate into models that actually ship - the same people do the research and ship the models. You'll have significant technical ownership and room to grow as we scale.
The problems we're solving:
  • Scaling transformer architectures from 10K to 1M+ samples - without the structural assumptions that make language models scale
  • Building multimodal models that combine tabular, text, and numerical understanding
  • Making models efficient enough for real-world deployment, not just accurate enough for a paper
  • Designing architectures for time series, forecasting, anomaly detection, and multiple related tables
  • Researching causal understanding in foundation models

What we're looking for
  • PhD in Computer Science, Applied Mathematics, Statistics, Electrical Engineering, or a closely related field, or equivalent research experience with demonstrated impact
  • Publications at top-tier ML venues (NeurIPS, ICML, ICLR, etc.) or equivalent impact through widely used open-source, benchmarks, or deployed systems
  • Strong experience building and analyzing machine learning models, including transformer or other sequence-based architectures, using PyTorch
  • Solid understanding of training dynamics, generalization, scaling behavior, and common failure modes in deep learning systems
  • Excellent engineering fundamentals and strong Python skills, with a track record of writing high-quality research code

Nice to have
  • Experience at an early-stage startup or research lab with a shipping culture
  • Contributions to open-source ML libraries or tools
  • Experience with model distillation, inference optimization, or efficient architectures
  • Background in tabular data, time series, or other structured data - helpful but not required

Life at Prior Labs
You'll work alongside researchers and builders who hold themselves to a very high bar - in the quality of their work and in how they work with each other. We move fast and still take the time to do things right.
Our teams are based in Berlin, Freiburg, and New York - when you're working on something as hard as TabPFN, being in the same room matters. But great people come from everywhere, and in exceptional cases we're open to remote, which usually means frequent travel to one of our offices. Wherever you're based, the whole company comes together regularly for offsites to build and celebrate together.
Our Commitments
The best products and teams are built by people with a wide range of perspectives and backgrounds. We welcome applications from all identities and walks of life - especially if you've ever felt discouraged by "not checking every box" - and provide equal opportunities regardless of gender, sexual orientation, origin, disability, or any other trait that makes you who you are.
We care about how your data is handled - see our Recruiting Data Privacy page

Apply