All Jobs/Cohere (Remote) – Build ML & NLP Products with Real-World Impact
Cohere (Remote) – Build ML & NLP Products with Real-World Impact
Engineering🎯 Internship🌐 Remote

AI Engineer Intern at Cohere

Cohere (Remote) – Build ML & NLP Products with Real-World Impact
9 days ago
Location

Remote

Salary

$12.50 to $50/hour

Apply By

ASAP

Views

20

Eligible Batches

🎓 2026 Batch🎓 2027 Batch🎓 2023 Batch🎓 2024 Batch🎓 2025 Batch

Job Description

Join Cohere as an AI Engineer Intern and contribute to building real-world AI models with cutting-edge technology.

Roles & Responsibilities

Develop and implement machine learning (ML) and natural language processing (NLP) models for real-world applications Collaborate with world-class researchers and engineers to create innovative AI-powered solutions Contribute directly to production systems and help shape the future of AI technology

Requirements

Bachelor's or Master's degree in Computer Science or related field Experience with Python programming language and libraries such as NumPy, pandas, and scikit-learn Familiarity with machine learning frameworks such as TensorFlow or PyTorch Good understanding of natural language processing and its applications Strong communication and collaboration skills Ability to work in a fast-paced environment and meet deadlines

Nice to Have

Experience with machine learning or NLP concepts Familiarity with cloud platforms and scalable architectures Knowledge of modern frameworks for frontend or backend development Exposure to DevOps tools like CI/CD pipelines Strong communication and technical writing skills

Eligibility Criteria

B.Tech/B.E., M.Tech, or MS 2023/2024/2025 Batch

Tech Stack & Ecosystem

PythonTensorFlowPyTorchMachine Learning

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Quick Info

TypeInternship
RoleAI Engineer Intern
Work Mode🌐 Remote
Eligible Batches
20262027202320242025

Tech Stack

PythonTensorFlowPyTorchMachine Learning

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Career Advice

Company Insights

Working at Cohere as an AI Engineer Intern offers a unique opportunity to work at the forefront of artificial intelligence and machine learning research. As a leading AI company, Cohere brings together world-class researchers, engineers, and designers who are passionate about innovation and performance. This internship provides a chance to contribute to production systems and help shape the future of AI technology, making it an ideal stepping stone for individuals looking to break into the field. Furthermore, Cohere's strong emphasis on diversity and collaboration creates a dynamic and supportive work environment, allowing interns to grow both professionally and personally. By joining Cohere, you'll gain hands-on experience working with cutting-edge technologies, collaborating with industry experts, and developing solutions that have real-world impact. This experience will not only enhance your technical skills but also provide you with a deeper understanding of the AI industry and its applications, positioning you for success in your future career. Whether you're a recent graduate or a seasoned professional, this internship offers a chance to make a meaningful contribution to the field of AI and machine learning, making it an attractive opportunity for anyone looking to make a difference in the industry.

Interview Guide

To prepare for an interview for the AI Engineer Intern position at Cohere, focus on demonstrating your expertise in machine learning and natural language processing. Be prepared to discuss your experience with popular ML frameworks, such as TensorFlow or PyTorch, and your understanding of NLP concepts and applications. Showcase your problem-solving skills by sharing examples of how you've tackled complex AI-related challenges in the past. Additionally, highlight your communication and collaboration skills, as working in a team environment is essential for this role. Practice explaining complex AI concepts in simple terms, using visualizations, and examples to help the interviewer understand your thought process. Show enthusiasm for learning and growth, and express your passion for AI and machine learning. Prepare to discuss your experience with Python and familiarization with other programming languages. Finally, come prepared with questions to ask the interviewer about the role, the company, and the team, demonstrating your interest in the position and the company's mission and values.