Lead Machine Learning Engineer

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
• Provide software and machine learning best practice guidance to junior engineers
• Work cross-functionally with diverse stakeholders, including product managers, clinicians, and technical leadership to align ML solutions with Cohere's core objectives.

Requirements

• Minimum 7+ years of experience in applied ML with a masters degree or 5+ years with a PhD, ideally in a senior or lead role in a large technology or healthcare company
• 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
• MS or PhD required
• 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
• Interview Process*:
• Connect with Talent Acquisition
• Meet with the Hiring Manager
• Behavioral Interview(s)
• Case Study
• Interview with Senior Leadership
• *Subject to change
• About Cohere Health:
• We can't wait to learn more about you and meet you at Cohere Health!
• Equal Opportunity Statement:
• Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it's personal.
• ISMS roles and responsibilities:
• Good knowledge of Information practices.
• Assist the manager in all the information security activities implementation and maintenance process.
• Ensuring the team and imparted with Competence related to Information security
• Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager.

Benefits

Additional Information

Opportunity Overview: As a Lead Machine Learning Engineer, you'll join our growing team of world-class machine learning engineers and clinical experts to deploy machine learning models that help automate burdensome administrative clinical practices. Our ML team's work is focused on designing, deploying, and monitoring production models which extract or predict relevant clinical findings from structured and unstructured data sources.

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