Machine Learning Intern/Co-op (Summer 2025)

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Overview

Cohere, a leading player in the AI landscape, is on a mission to scale intelligence to serve humanity. They are looking for a Machine Learning Intern for the Summer 2025 term. The role offers an opportunity to train and deploy frontier models that are crucial in creating powerful AI systems. The company emphasizes the importance of a diverse range of perspectives, and it seeks individuals who are passionate about their craft. This plan aligns with the company's goal to innovate and enhance its capabilities for creating advanced AI products.

Role Description

As an intern at Cohere, you will be at the helm of state-of-the-art models, designing and implementing innovative research ideas. Your responsibilities will include building elegant training and deployment pipelines while wearing multiple hats within the team. The recruitment process is set to begin in the upcoming weeks, and the company will assess candidates for their potential with a keen eye on qualifications.

Required Skills

To be eligible for this internship, candidates should meet the following criteria:

  • Currently enrolled in a post-secondary program

  • Availability for a full-time position lasting 3-6 months during the internship, co-op, or research work term

As a Machine Learning Intern, you'll need proficiency in Python and relevant machine learning frameworks such as TensorFlow, TF-Serving, JAX, and XLA/MLIR. Experience with large-scale distributed training strategies is invaluable. Familiarity with autoregressive sequence models, notably Transformers, is also advantageous.

The company values strong communication and problem-solving skills. A demonstrated passion for applied Natural Language Processing (NLP) models and products is essential. Some bonus skills that would set you apart include:

  • Experience writing kernels for GPUs using CUDA
  • Experience training on TPUs
  • Publication of papers in top-tier venues such as NeurIPS, ICML, ICLR, and others

Even if you don't meet all the criteria perfectly, Cohere encourages you to apply as they value lifelong learners who will fit into their diverse team.



Company Culture

Cohere promotes an open and inclusive culture, where hard work and rapid movement towards achieving customer satisfaction are core values. The company emphasizes teamwork, expecting each member to contribute meaningfully to the overall mission of advancing AI for positive impact on humanity.

Benefits of the Internship

Cohere offers notable perks for interns, which include:

  • A collaborative work environment at the cutting edge of AI research
  • Free daily lunch and access to health and dental benefits
  • A remote-flexible working model that includes coworking stipends
  • Paid vacation time, ensuring a balanced work-life dynamic
  • Personal enrichment benefits aimed at arts and culture, fitness, and overall well-being

If you are a thoughtful worker, a team player, and passionate about advancing AI technologies, the internship at Cohere could be an excellent fit for you.

Application Process

Cohere is robust about its commitment to diversity and inclusion, welcoming applicants from various backgrounds. Should candidates need accommodations during the recruitment process, they are encouraged to communicate their needs in advance, ensuring no potential employee is hindered on account of their requirements. This reflects the company's commitment to fostering an inclusive work environment.

Conclusion

Cohere is poised to elevate its impact on the AI industry, and the position of Machine Learning Intern aligns with its mission of fostering innovative solutions in AI products. The role presents growth opportunities for students keen on applying cutting-edge machine learning techniques. If you would like to be part of a diverse, passionate team working towards a glorious mission in AI, don't hesitate to apply for this exciting internship opportunity!



This job offer was originally published on jooble.com

Cohere

Remote

Data science

Internship

February 14, 2025

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