Machine Learning Intern/Co-op (Fall, 2026)

CohereCohere·Remote(Canada)
Data & Analytics

WFA Digital Insight

As demand for AI and machine learning specialists continues to grow, with a 25% increase in job postings in the last year, Cohere's Machine Learning Intern role stands out in the remote job market. With a strong focus on innovation and research, this role requires skills in Python, ML frameworks like Tensorflow, and large-scale distributed training strategies. Cohere's commitment to diversity and inclusivity, with a global team of researchers and engineers, makes it an attractive option for candidates. Before applying, candidates should be aware of the company's emphasis on state-of-the-art models, novel research ideas, and collaboration with product teams.

Job Description

About the Role

Cohere is a leader in the development of AI systems, and as a Machine Learning Intern, you will play a crucial role in designing, training, and improving cutting-edge models. You will work closely with a team of experienced researchers and engineers to develop new techniques for training and serving models, and collaborate with product teams to develop solutions. The role is ideal for students currently enrolled in a post-secondary program, with a strong foundation in machine learning and programming.

The Machine Learning Intern role at Cohere is a unique opportunity to work on state-of-the-art models and contribute to the development of innovative AI systems. You will be part of a dynamic team that values diversity, inclusivity, and creativity, and is committed to creating a positive and supportive work environment. As a member of the team, you will have the opportunity to learn from experienced professionals, develop new skills, and take on new challenges.

Cohere's mission is to scale intelligence to serve humanity, and as a Machine Learning Intern, you will be instrumental in helping the company achieve this goal. You will work on projects that have the potential to make a significant impact, and contribute to the development of AI systems that can power magical experiences like content generation, semantic search, and agents.

What You Will Do

  • Design, train, and improve cutting-edge models using Python and ML frameworks like Tensorflow, TF-Serving, JAX, and XLA/MLIR
  • Develop new techniques to train and serve models safer, better, and faster
  • Train extremely large-scale models on massive datasets
  • Explore continual and active learning strategies for streaming data
  • Collaborate with product teams to develop solutions
  • Learn from experienced senior machine learning technical staff
  • Work on projects that have the potential to make a significant impact
  • Contribute to the development of AI systems that can power magical experiences
  • Participate in code reviews and contribute to the improvement of the codebase
  • Stay up-to-date with the latest developments in machine learning and AI

What We Are Looking For

  • Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR
  • Experience using large-scale distributed training strategies
  • Familiarity with autoregressive sequence models, such as Transformers
  • Strong communication and problem-solving skills
  • A demonstrated passion for applied NLP models and products
  • Ability to work in a fast-paced environment and adapt to new challenges
  • Strong foundation in machine learning and programming
  • Experience with cloud-based platforms and containerization
  • Familiarity with agile development methodologies
  • Ability to work collaboratively as part of a team

Nice to Have

  • Experience writing kernels for GPUs using CUDA
  • Experience training on TPUs
  • Papers at top-tier venues such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP
  • Experience with natural language processing and computer vision
  • Familiarity with DevOps and MLOps

Benefits and Perks

  • Remote-flexible work arrangement
  • Weekly lunch stipend, in-office lunches, and snacks
  • Full health and dental benefits, including a separate budget to take care of your mental health
  • 100% Parental Leave top-up for up to 6 months
  • Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
  • 6 weeks of vacation (30 working days)
  • Opportunities for professional development and growth
  • Collaborative and dynamic work environment
  • Access to cutting-edge technologies and tools
  • Recognition and reward for outstanding performance

How to Stand Out

  • Tip: Make sure to highlight your proficiency in Python and ML frameworks like Tensorflow, and emphasize your experience with large-scale distributed training strategies.
  • Tip: Showcase your passion for applied NLP models and products, and demonstrate your ability to work collaboratively as part of a team.
  • Tip: Be prepared to discuss your experience with autoregressive sequence models, such as Transformers, and how you can apply this knowledge to real-world problems.
  • Tip: Familiarize yourself with Cohere's products and services, and be prepared to discuss how you can contribute to the company's mission to scale intelligence to serve humanity.
  • Tip: Be ready to provide examples of your work, such as papers or projects, and be prepared to discuss your experience with cloud-based platforms and containerization.
  • Tip: Highlight your ability to work in a fast-paced environment and adapt to new challenges, and emphasize your strong communication and problem-solving skills.
  • Tip: Research the company culture and values, and be prepared to discuss how you can contribute to a positive and supportive work environment.

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