Summary
Join Cohere Health's growing team of machine learning engineers and clinical experts. You will design, develop, and deploy advanced machine learning algorithms for various use cases. This role requires 2+ years of applied ML experience and a master's degree in a relevant field. You will work cross-functionally with diverse stakeholders to align ML solutions with company objectives. The salary range is $110,000 to $130,000 annually, with a benefits package including health insurance, 401k, and a bonus. Cohere Health is committed to fostering a supportive and growth-oriented environment.
Requirements
- You have 2+ years experience in applied ML in the industry with a masters degree in computer science, machine learning, mathematics or a similar field
- 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
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 Cohereβs core objectives
Preferred Qualifications
- Experience with generative AI or Retrieval Augmented Generation (RAG)
- Experience working with unstructured healthcare data (e.g., clinical notes)
- Experience with OCR or image-based document understanding techniques
- Hands on experience using AWS tools such as SageMaker Studio
Benefits
- Health insurance
- 401k
- Bonus
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