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Join our team

Based in Toronto and connected across the globe, Reviewer.ly thrives because of our exceptional team. We’re driven by a passion for the power of AI research, fostering growth and sparking innovation together. With opportunities to advance your career and contribute meaningfully, we provide an environment where collaboration sparks new ideas and shapes the future of matching expertise with opportunities.

Open positions

Research Intern – Machine Learning, Information Retrieval, and Natural Language Processing (Spring 2025)

Toronto, ON (preferred) or Remote (in Canada)

Apply by December 1, 2024


As a Research Intern at Reviewer.ly, you will work with large-scale, scholarly, and text-based data, contributing to cutting-edge research in machine learning. Our projects span areas such as recommender systems, information retrieval, natural language processing, optimization, and operations research. This is an opportunity to make impactful contributions by developing, deploying, and refining machine learning solutions that align with the latest advancements in AI and NLP.

Responsibilities

  • Work with scholarly and large-scale text data to build and optimize machine learning models.
  • Conduct research on machine learning applications in information retrieval, NLP, and recommender systems.
  • Develop and refine machine learning models using frameworks such as PyTorch, and train models on GPUs.
  • Contribute to both applied research and production-ready deployments, with the goal of presenting research findings at top-tier conferences like SIGIR, CIKM, and *ACL.

Qualifications

We’re seeking individuals with most of the following:

  • Currently pursuing a Masters/Ph.D. in Machine Learning, Computer Science, or a related field at an accredited university in Canada.
  • Experience in machine learning as applied to information retrieval and recommender systems, particularly using Transformers or large language models (LLMs).
  • Proficiency in Natural Language Processing (NLP) tasks: fine-tuning LLMs, in-context learning, prompt engineering, alignment, evaluation, text generation, and embeddings.
  • Strong general machine learning engineering skills, with experience applying ML across domains.
  • Programming proficiency in Python.
  • Familiarity with NoSQL databases, such as MongoDB.
  • Experience with end-to-end ML pipelines, including model training and production deployment.
  • A proactive approach to problem-solving and the ability to tackle open-ended challenges independently.
  • Demonstrated curiosity, self-motivation, and a drive for innovation.
  • Strong oral and written communication skills, with an ability to convey complex technical concepts clearly.

Benefits

This internship is designed for individuals eager to make an impact by deploying ML models into production while advancing research in a collaborative and innovative environment. You’ll have the opportunity to co-author research publications and attend or present at prominent conferences.

About Reviewer.ly

Reviewer.ly’s AI-powered tools are designed to streamline the academic review process by analyzing scholarly papers and recommending relevant experts. Our mission is to help researchers and organizations find the perfect match faster and more effectively. Beyond academia, we’ve developed custom solutions for various sectors, including platforms for talent recruitment and funding proposal assessments, ensuring that expertise meets opportunity in meaningful ways.


Join Reviewer.ly and help us redefine expert discovery and academic review!