Lead Machine Learning Engineer

Opportunity Overview:

As a Lead Machine Learning Engineer youll 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 teams work is focused on designing deploying and monitoring production models which extract or predict relevant clinical findings from structured and unstructured data sources.

What youll do:

• 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 Coheres core objectives.

What youll need:

Must-haves

• 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

Nice-to-haves

• 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*:

1. Connect with Talent Acquisition
2. Meet with the Hiring Manager
3. Behavioral Interview(s)
4. Case Study
5. Interview with Senior Leadership

*Subject to change

About Cohere Health:

Cohere Healths clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration cost containment and healthcare economics. Cohere Health works with over 660000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI weve further enhanced our platform by launching our Payment Integrity Suite anchored by Cohere Validate an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation were creating a transparent healthcare ecosystem that reduces waste improves payer-provider collaboration and patient outcomes and ensures providers are paid promptly and accurately.

Cohere Healths innovations continue to receive industry wide recognition. Weve been named to the 2025 Inc. 5000 list and in the Gartner Hype Cycle for U.S. Healthcare Payers (2022-2025) and ranked as a Top 5 LinkedIn Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management Define Ventures Flare Capital Partners Longitude Capital and Polaris Partners Cohere Health drives more transparent streamlined healthcare processes helping patients receive faster more appropriate care and higher-quality outcomes.

The Coherenauts as we call ourselves who succeed here are 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.

We cant 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 its personal.