Cohere Machine Learning Intern/Co-op
Cohere
Source: Manual
Opportunity details
About Cohere
The intern works on large-scale machine-learning and language-model systems. The role is research and engineering-heavy: developing models, training them on very large datasets, improving how they are served, and working with product teams to turn research ideas into practical solutions.
Responsibilities
1 Design, train and improve cutting-edge ML models. 2 Develop techniques for making models safer, better and faster. 3 Train very large-scale models using massive datasets. 4 Explore continual learning and active learning for streaming data. 5 Build/maintain training and deployment pipelines. 6 Learn directly from experienced senior ML technical staff. 7 Work with product teams to develop practical AI solutions.
Requirements
1 Currently enrolled in a post-secondary program. 2 Available for a full-time 3 - 6 month internship/co-op/research term. 3 Strong proficiency in Python. 4 Experience with ML frameworks such as:
- TensorFlow
- TF-Serving
- JAX
- XLA/MLIR
5 Experience with large-scale distributed training. 6 Familiarity with Transformers/autoregressive sequence models. 7 Strong communication and problem-solving skills. 8 Demonstrated interest in applied NLP models and products.
Benefits
Pain internship
Best for
Applied AI
Why this matches our community
This opportunity aligns with skills Analytic Sages learners build across data, AI, and quantitative careers.
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