Software Engineer Intern (Fall / Winter 2026)

CohereCohere·Remote(Canada)
Software Development

WFA Digital Insight

The demand for skilled software engineers in the AI and machine learning space continues to soar, with a reported 25% increase in job openings over the past year. As companies like Cohere push the boundaries of what's possible with AI, candidates with expertise in digital skills and a passion for innovation are in high demand. With the remote job market booming, this internship offers a unique chance to gain hands-on experience and make a real impact. Before applying, candidates should be prepared to showcase their skills in areas like machine learning, data pipelines, and scalable services, as well as their ability to work autonomously in a fast-paced environment. With its commitment to diversity and inclusivity, Cohere is an attractive option for those looking to launch their career in a forward-thinking company.

Job Description

About the Role

As a Software Engineer Intern at Cohere, you'll be part of a dynamic team that's pushing the boundaries of what's possible with AI and machine learning. Your day-to-day work will involve collaborating with cross-functional teams to design, develop, and deploy innovative solutions that drive real impact. You'll have the autonomy to take ownership of high-impact projects, working closely with leaders and mentors who are passionate about their craft. Whether you're interested in building datasets for machine learning, scaling pods to serve APIs, or developing new security features, this internship offers a unique chance to gain hands-on experience and make a real difference.

The role is perfect for students who are excited about building the next generation of machine learning models and NLP products. You'll be working on cutting-edge projects, using the latest technologies and tools to drive innovation. With a focus on scalability, reliability, and performance, you'll be part of a team that's committed to delivering exceptional results.

Cohere is a team of talented individuals who are passionate about their work. From researchers and engineers to designers and more, the company is dedicated to creating a diverse and inclusive work environment that fosters collaboration and creativity. As an intern, you'll be valued as a key member of the team, with opportunities to contribute to high-impact projects and shape the future of the company.

What You Will Do

  • Ship delightful experiences for user-facing products, meticulously crafting code for browsers or server code
  • Build features for the API platform that directly impact users
  • Design and implement robust data pipelines, including crawlers, storage, and filters
  • Design and implement scalable services or infrastructure for machine learning development
  • Build internal tooling, such as CI/CD and dev utilities, to move faster together
  • Develop tech writing skills through maintaining and contributing to technical documentation, both internal and external facing
  • Stay up-to-date with the latest technologies and adopt new tools to improve performance and reliability across Cohere
  • Collaborate with cross-functional teams to identify and prioritize project requirements
  • Participate in code reviews and contribute to the improvement of the codebase
  • Troubleshoot and resolve technical issues, using debugging tools and techniques

What We Are Looking For

  • Currently enrolled in a post-secondary program, with a focus on computer science, software engineering, or a related field
  • Experience with programming languages, such as Python, Java, or C++
  • Familiarity with machine learning and data science concepts, including data pipelines and scalable services
  • Strong problem-solving skills, with the ability to debug and troubleshoot technical issues
  • Excellent communication skills, with the ability to collaborate with cross-functional teams
  • Experience with Agile development methodologies and version control systems, such as Git
  • Familiarity with cloud-based platforms, such as AWS or Google Cloud
  • Strong understanding of computer science fundamentals, including data structures and algorithms

Nice to Have

  • Experience with front-end development, including HTML, CSS, and JavaScript
  • Familiarity with containerization, using tools like Docker
  • Experience with testing frameworks, such as Pytest or Unittest
  • Knowledge of DevOps practices, including continuous integration and continuous deployment
  • Experience with machine learning frameworks, such as TensorFlow or PyTorch

Benefits and Perks

  • Opportunities for professional growth and development, including mentorship and training
  • Collaborative and dynamic work environment, with a team of talented professionals
  • Flexible working hours, with the option to work remotely
  • Access to cutting-edge technologies and tools, including machine learning frameworks and data science libraries
  • Comprehensive health and dental benefits, including a separate budget for mental health
  • Weekly lunch stipend, in-office lunches, and snacks
  • Full parental leave top-up for up to 6 months
  • Personal enrichment benefits, including arts and culture, fitness and well-being, quality time, and workspace improvement

How to Stand Out

  • Be prepared to showcase your skills in areas like machine learning, data pipelines, and scalable services, as well as your ability to work autonomously in a fast-paced environment.
  • Make sure your resume and cover letter are tailored to the role, highlighting your relevant experience and skills.
  • Practice your coding skills, using platforms like LeetCode or HackerRank, to prepare for technical interviews.
  • Research the company and its products, including its mission and values, to demonstrate your passion and interest in the role.
  • Be prepared to ask questions during the interview, such as what a typical day looks like or what opportunities there are for growth and development.
  • Showcase your ability to learn quickly and adapt to new technologies and tools, as well as your willingness to take on new challenges and responsibilities.
  • Be prepared to discuss your experience with Agile development methodologies and version control systems, such as Git.

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