Talantix.io
Cohere•22.02.26
AI SCORE 8.5

Research Internship - AI Focus (Remote)

$30K–$40K/year
RemoteAI/Big Data
Python•C•C++•JAX•PyTorch•TensorFlow•Machine Learning•Natural Language Processing

About the Role

Join Cohere as a Research Intern for Winter 2026 and immerse yourself in the exciting world of AI research. This Research Internship - AI Focus (Remote) provides a unique opportunity to collaborate with leading researchers, focusing on innovative research ideas and deploying state-of-the-art models. As a remote intern, you will contribute to cutting-edge machine learning research, working on projects related to language modeling and multimodal models.

What You'll Do

  • Conduct advanced research in machine learning and natural language processing.
  • Design and implement innovative research ideas that push the boundaries of AI.
  • Collaborate with a team of experts to disseminate research results through publications and datasets.
  • Contribute to practical applications in product development, enhancing user experiences.
  • Utilize large-scale distributed training techniques to optimize model performance.
  • Analyze complex data sets and provide insights to drive research initiatives.
  • Participate in discussions and brainstorming sessions to foster a collaborative environment.
  • Demonstrate strong problem-solving skills using quantitative methods.

Requirements

  • Pursuing or obtaining a PhD in Machine Learning, NLP, or related fields.
  • Experience with large-scale distributed training is preferred.
  • Familiarity with autoregressive models like Transformers is a plus.
  • Strong communication and problem-solving skills are essential.
  • Proficiency in programming languages such as Python, C, or C++.
  • Knowledge of ML frameworks like JAX, PyTorch, and TensorFlow.
  • Previous experience in machine learning systems is preferred.
  • Passion for applied NLP models and products.

Nice to Have

  • Demonstrated expertise through publications in relevant fields.
  • Ability to analyze complex data effectively.
  • Experience with distributed training strategies and ML models.

What We Offer

  • Open and inclusive culture and work environment.
  • Collaboration with a cutting-edge AI research team.
  • Weekly lunch stipend and in-office lunches & snacks.
  • Full health and dental benefits.
  • Parental leave top-up for employees in Canada, the US, and the UK.
  • Personal enrichment benefits for various activities.
  • Remote-flexible work with offices in major cities.
  • 6 weeks of vacation.
Why This Job8.5 of 10

This Research Internship at Cohere offers a unique opportunity to work with leading AI researchers and contribute to innovative projects in machine learning.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Strong proficiency in Python and familiarity with machine learning frameworks like PyTorch and TensorFlow, enabling efficient experimentation and model implementation.

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Self-motivated and proactive in a remote work environment, demonstrating the ability to manage time effectively while collaborating virtually with researchers and team members.

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A foundational understanding of algorithms and data structures, with experience in C or C++ for performance optimization in machine learning applications, showcasing a problem-solving mindset.

Learning Resources

→Python for Everybodycourse
→Deep Learning with PyTorch: A 60 Minute Blitzguide
→Natural Language Processing with TensorFlowcourse

Career Path

Research Internship - AI Focus(Now)→Machine Learning Research Assistant(1-2 years)→AI Research Scientist(3-5 years)

Market Overview

Market Size 2024
$40B
Annual Growth
22.5%
AI Adoption in Enterprises
65%
Investment in AI Startups
+150%
Labour Demand for AI Roles
+30%
Avg Salary for AI Interns
$70K

Skills & Requirements

Required
PythonCC++
Growing in Demand
Deep LearningData EngineeringMLOps
Declining
R ProgrammingMatlab

Domain Trends

Increased Focus on Ethical AI
Organizations are prioritizing ethical AI practices, with 58% of companies implementing guidelines for responsible AI usage.
Rise of Federated Learning
Federated learning is gaining traction, with 40% of AI projects incorporating this technology to enhance data privacy.
Expansion of AI in Natural Language Processing
The NLP market is expected to grow by 25% annually, driven by advancements in conversational AI and chatbots.

Industry News

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