Cohere Health is looking to automate burdensome administrative clinical practices by deploying machine learning models that extract or predict relevant clinical findings from structured and unstructured data sources.
Requirements
- 1+ years experience in applied ML in the industry
- Clear understanding of model building, model maintenance and the measures that optimize models for production use
- Understand experimental design and can independently perform collection, measurement, and interpretation of results
- Expert in Python with experience in deep learning frameworks (e.g., PyTorch)
- Hands on experience building deep learning models (e.g., transformers) for NLP tasks
- Experience with generative AI or Retrieval Augmented Generation (RAG)
- Hands on experience using AWS tools such as SageMaker Studio
Responsibilities
- Design, develop and deploy advanced machine learning algorithms for retrieval, classification and generative use cases.
- Develop reliable and scalable production machine learning systems.
- Write and maintain reusable codebases to perform data preprocessing, model training, evaluation, and deployment
- Work cross-functionally with diverse stakeholders, including product managers, clinicians, and technical leadership to align ML solutions with Cohere’s core objectives.
Other
- Masters degree in computer science, machine learning, mathematics or a similar field
- Fully remote opportunity with about 10% travel
- Empathetic teammates who are candid, kind, caring, and embody [our core values and principles]
- We believe that diverse, inclusive teams make the most impactful work.
- Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
