Applied Scientist Intern The dates for this internship are January 11, 2027-July 12, 2027. Are you ... We hire specialists in Information Retrieval, Natural Language Processing, and Machine Learning, as ...
Applied Scientist Intern The dates for this internship are January 11, 2027-July 12, 2027. Are you ... We hire specialists in Information Retrieval, Natural Language Processing, and Machine Learning, as ...
As an intern, you will be part of a diverse, interdisciplinary global team of experts ... We hire specialists in Information Retrieval, Natural Language Processing, and Machine Learning, as ...
As an intern, you will be part of a diverse, interdisciplinary global team of experts ... We hire specialists in Information Retrieval, Natural Language Processing, and Machine Learning, as ...
Machine Learning Engineer
Toronto, ON · Remote
Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction ...
Machine Learning Engineer
Toronto, ON · Remote
Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction ...
You can demonstrate 4-5 years of experience in machine learning, natural language processing (NLP), natural language understanding (NLU), and/or other AI techniques with TensorFlow, PyTorch, Scikit ...
You can demonstrate 4-5 years of experience in machine learning, natural language processing (NLP), natural language understanding (NLU), and/or other AI techniques with TensorFlow, PyTorch, Scikit ...
You can demonstrate 4-5 years of experience in machine learning, natural language processing (NLP), natural language understanding (NLU), and/or other AI techniques with TensorFlow, PyTorch, Scikit ...
You can demonstrate 4-5 years of experience in machine learning, natural language processing (NLP), natural language understanding (NLU), and/or other AI techniques with TensorFlow, PyTorch, Scikit ...
Develop and optimize algorithms for natural language processing, computer vision, and other AI domains.Apply transfer learning and reinforcement learning techniques to enhance model performance.
Develop and optimize algorithms for natural language processing, computer vision, and other AI domains.Apply transfer learning and reinforcement learning techniques to enhance model performance.
Expertise in a few of the following areas: deep learning, natural language processing, information retrieval; * Experience with deep learning packages such as PyTorch, JAX, or Tensorflow; * Knowledge ...
Expertise in a few of the following areas: deep learning, natural language processing, information retrieval; * Experience with deep learning packages such as PyTorch, JAX, or Tensorflow; * Knowledge ...
Research Engineer - Post-training (Co-op / Intern)
Mississauga, ON · Hybrid
CA$20 - CA$30/hr
Have completed coursework in machine learning, natural language processing, or AI systems. * Enjoy ... This is a 12-month duration COOP/ Intern hybrid role (four days in-office) reporting directly to ...
Quick apply
Research Engineer - Post-training (Co-op / Intern)
Mississauga, ON · Hybrid
CA$20 - CA$30/hr
Have completed coursework in machine learning, natural language processing, or AI systems. * Enjoy ... This is a 12-month duration COOP/ Intern hybrid role (four days in-office) reporting directly to ...
Familiarity with machine learning, natural-language processing, or generative AI. Experience with cloud platforms, databases, version control, and CI/CD. Understanding of software testing, security ...
Familiarity with machine learning, natural-language processing, or generative AI. Experience with cloud platforms, databases, version control, and CI/CD. Understanding of software testing, security ...
AI Engineer Intern
Toronto, ON · Hybrid
CA$20 - CA$30/hr
We are looking for an AI Engineer Intern interested in building production-ready AI agents and ... Good understanding of machine learning, natural language processing, and LLM fundamentals.
AI Engineer Intern
Toronto, ON · Hybrid
CA$20 - CA$30/hr
We are looking for an AI Engineer Intern interested in building production-ready AI agents and ... Good understanding of machine learning, natural language processing, and LLM fundamentals.
We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or ...
We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or ...
Applied Machine Learning Scientist II (ATH # 5215)
CA$125K - CA$154K/yr
Department Overview TD Model Validation (MV) group is responsible for the independent validation and approval of models used forAgentic AI,Generative AI, Natural Language Processing (NLP), credit ...
Applied Machine Learning Scientist II (ATH # 5215)
CA$125K - CA$154K/yr
Department Overview TD Model Validation (MV) group is responsible for the independent validation and approval of models used forAgentic AI,Generative AI, Natural Language Processing (NLP), credit ...
Lead Research Engineer
Toronto, ON · On-site +1
Previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. * Hands ...
Lead Research Engineer
Toronto, ON · On-site +1
Previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. * Hands ...
Senior Data Specialist, Enterprise Fraud Analytics
Toronto, ON · Hybrid
CA$73K - CA$123K/yr
Focus on Natural Language Processing (NLP), Generative AI, and Agentic workflows to extract actionable fraud indicators. Conduct rigorous model evaluation (precision, recall, FPR) and threshold ...
Senior Data Specialist, Enterprise Fraud Analytics
Toronto, ON · Hybrid
CA$73K - CA$123K/yr
Focus on Natural Language Processing (NLP), Generative AI, and Agentic workflows to extract actionable fraud indicators. Conduct rigorous model evaluation (precision, recall, FPR) and threshold ...
Research Engineer
Toronto, ON · Hybrid
Previousexposure to Natural Language Processing (NLP) problems andhavefamiliarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. * Ability ...
Research Engineer
Toronto, ON · Hybrid
Previousexposure to Natural Language Processing (NLP) problems andhavefamiliarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. * Ability ...
Machine Learning Researcher
Toronto, ON · On-site
... natural language processing, and time series analysis. We're looking for an enthusiastic Machine Learning Researcher who's excited by the opportunity of being at the forefront of applying machine ...
Machine Learning Researcher
Toronto, ON · On-site
... natural language processing, and time series analysis. We're looking for an enthusiastic Machine Learning Researcher who's excited by the opportunity of being at the forefront of applying machine ...
... natural language processing, reinforcement learning, and graph representation learning) * End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems ...
... natural language processing, reinforcement learning, and graph representation learning) * End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems ...
... natural language processing, reinforcement learning, and graph representation learning) * End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems ...
... natural language processing, reinforcement learning, and graph representation learning) * End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems ...
... Language Processing (NLP), Natural Language Programming (NLP), Predictive Analytics, Problem Solving, PySpark, Python (Programming Language) Additional Job Details Address: 16 YORK ST:TORONTO City:
... Language Processing (NLP), Natural Language Programming (NLP), Predictive Analytics, Problem Solving, PySpark, Python (Programming Language) Additional Job Details Address: 16 YORK ST:TORONTO City:
Practical experience applying generative AI, LLMs, Retrieval-Augmented Generation (RAG), prompt engineering, Natural Language Processing (NLP), or AI-enabled analytics to business, finance, reporting ...
Practical experience applying generative AI, LLMs, Retrieval-Augmented Generation (RAG), prompt engineering, Natural Language Processing (NLP), or AI-enabled analytics to business, finance, reporting ...
Natural Language Processing Intern information
See Toronto, ON salary details
$21.5K - $36.3K
12% of jobs
$36.3K - $51.1K
7% of jobs
$51.1K - $65.8K
4% of jobs
$78.8K is the 25th percentile. Wages below this are outliers.
$65.8K - $80.6K
2% of jobs
$80.6K - $95.4K
4% of jobs
$95.4K - $110.2K
16% of jobs
The median wage is $115.3K / yr.
$110.2K - $125K
14% of jobs
$125K - $139.8K
8% of jobs
$151.7K is the 75th percentile. Wages above this are outliers.
$139.8K - $154.6K
9% of jobs
$154.6K - $169.4K
14% of jobs
$169.4K - $184.2K
9% of jobs
$21.5K
$114.7K
$184.2K
How much do natural language processing intern jobs pay per year?
What is a natural language processing intern?
A Natural Language Processing (NLP) Intern works on projects related to computational linguistics, machine learning, and text analysis. Responsibilities may include preprocessing text data, training and fine-tuning language models, implementing NLP algorithms, and evaluating model performance. Interns typically collaborate with data scientists, engineers, and researchers to improve and deploy NLP solutions for tasks such as sentiment analysis, named entity recognition, or chatbot development. This role requires proficiency in programming languages like Python, familiarity with NLP libraries such as TensorFlow or spaCy, and a strong foundation in machine learning concepts.
What types of projects or tasks does a natural language processing intern typically work on during their internship?
As a Natural Language Processing Intern, you can expect to work on projects such as building or refining text classification models, cleaning and annotating datasets, assisting with the implementation of algorithms for tasks like sentiment analysis or language generation, and analyzing the performance of NLP systems. Interns often collaborate with experienced data scientists, machine learning engineers, and linguists to solve real-world language processing challenges. You may also help research new NLP techniques or work on the integration of models into existing products or services. This hands-on experience provides valuable exposure to practical NLP workflows and is a great stepping stone for a career in AI or machine learning.
What are the key skills and qualifications needed to thrive as a natural language processing intern, and why are they important?
To thrive as a Natural Language Processing Intern, you need a solid background in programming (especially Python), understanding of machine learning concepts, and coursework or experience in linguistics or NLP techniques. Familiarity with NLP libraries such as NLTK, spaCy, or Hugging Face, and experience using platforms like Jupyter Notebooks and version control systems are often required. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly will help you stand out. These skills and qualities enable you to effectively support research, analyze language data, and contribute to NLP projects within collaborative technical teams.
Is natural language processing in demand?
What job categories do people searching Natural Language Processing Intern jobs in Toronto, ON look for?
The top searched job categories for Natural Language Processing Intern jobs in Toronto, ON are:

Applied Scientist Intern
Toronto, ON
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 10 days ago
Thomson Reuters rating
8.9
Based on 22 frontline employees who took The Breakroom Quiz
Job description
Applied Scientist Intern
The dates for this internship are January 11, 2027-July 12, 2027.
Job Description
Are you a curious and open-minded individual with an interest in programming and machine learning? Thomson Reuters Labs is seeking a ML/NLP scientist intern with a passion for problem-solving using state-of-the-art Machine Learning and Natural Language Processing techniques.
What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today, while investing in long-term research for the future.
As an Applied Scientist Intern, you will be part of a diverse and interdisciplinary global team of experts. We hire specialists in Information Retrieval, Natural Language Processing, and Machine Learning, as well as Engineering and Design, to drive the company's digital and AI transformation. Thomson Reuters Labs is known for consistently delivering successful data-driven Artificial Intelligence solutions in support of high-growth products that serve Thomson Reuters customers in new and exciting ways.
Key Responsibilities
As an Applied Scientist Intern, you will:
Experiment and Develop: You can be involved in the entire model development lifecycle, building, testing, and delivering high-quality solutions.
Collaborate: Working on a collaborative cross-functional team, you will learn from and partner with colleagues across the globe.
Innovate: You will have the opportunity to try new approaches and learn new technologies. You will contribute ideas and work on solving real-world challenges.
Required Qualifications
You are a fit for theApplied ScientistIntern role if your background includes some of the following:
Be currently enrolled in a PhD program in a relevant discipline or a Master's program with research experience.
Have an understanding and experience with Natural Language Processing, and/or Machine Learning methods, including Large Language Models.
Have experience with model training, fine tuning, and evaluating experiments related to Machine Learning or Large Language Models.
Are experienced in one or more programming languages (preferably Python) and have experience working in the Cloud (preferably AWS)
Have experience with ML/NLP libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, LangChain, and HuggingFace.
Are comfortable working with unstructured datasets and are knowledgeable about tools and techniques for data cleaning and processing.
Have good communication skills and the ability to work collaboratively as part of a team.
Preferred Qualifications
This is our wish list. We understand that few people check every box. If you are excited about this opportunity, meet most of the following criteria, and are eager to learn, we want to hear from you!
Opportunities For Our Applied Science Interns:
Learning & Development: On-the-job coaching & learning, as well as the opportunity to work with cutting-edge methods and technologies
Data and High-Impact Problems: Our scientists and engineers get to play with large datasets and discover new capabilities and insights in support of our high-impact products and customers. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & Accounting professionals. We have over 60,000 TBsof legal, regulatory, news, and tax data.
Competitive Compensation: The opportunity to earn while learning new skills
#LI-LB1
This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.What's in it For You?
Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our commitment of empowering employees to achieve a better work-life balance.
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
Industry Competitive Benefits: We offer comprehensive benefit plans to include paid leave, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Making a Real-World Impact:We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department atHR.Leave-Expert@thomsonreuters.com. Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.
Learn more on how to protect yourself from fraudulent job postings here.
More information about Thomson Reuters can be found on thomsonreuters.com
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Pay
Benefits
Hours and flexibility
Workplace
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About Thomson Reuters
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Industry
Analytics and business intelligence systems, finance and insurance, business management consulting, professional, scientific, and technical services and software development
Company size
10,000+ Employees
Headquarters location
New York, NY, US