Company Overview:

Cohere Health is illuminating healthcare for patients, their doctors, and all those who are important in a patient’s healthcare experience, both in and out of the doctors office.  Founded in August, 2019, we are obsessed with eliminating wasteful friction patients and doctors experience in areas that have nothing to do with health and treatment, particularly for diagnoses that require expensive procedures or medications.  To that end, we build software that is expressly designed to ensure the appropriate plan of care is understood and expeditiously approved, so that patients and doctors can focus on health, rather than payment or administrative hassles.

Opportunity Overview:

At Cohere Health our Machine Learning Team is focused on using unstructured clinical documents to automate and augment the prior authorization process. We do this through a combination of traditional machine learning techniques, computer vision, natural language processing and understanding, and novel approaches. The team is responsible for an end-to-end applied research process, starting from business problem articulation, to designing a comprehensive scientific experimentation plan pursuant to drive business impact, to optimal solution design for the given problem constraints. Functionally, this team owns algorithmic development, model builds and tuning/optimization, product-focused model evaluation, and deployment. 

Last but not least: People 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.

What you will do:

• Provide leadership, coaching and guidance to a team of 5-6 Machine Learning Engineers
• Own end-to-end applied research and development process for a variety of machine learning and AI systems, including business problem definition, experimentation planning, solutioning and development, and deployment
• Lead by example: oversee development of experimentation plans, technical specification documents, contribute to product requirement documents, and write or review modular code while guiding team members in best software engineering practices
• Build reliable and scalable production machine learning systems on AWS in conjunction with data engineering
• Establish goals, deliverables and timelines for machine learning projects that solve business problems and make quantifiable impact; break large, ambiguous projects into smaller, more tractable milestones
• Coordinate and build strong partnerships with Data Science, Product Management, Data Engineering, Application Engineering, DevOps, and Clinical and Operations teams to deliver innovative, problem-centric, high-quality Machine Learning Models
• Help grow the ML team by interviewing candidates on ML team and across wider data team
• Be a key contributor to the strategies and goals of the Machine Learning Team

Your background & requirements:

• Experience leading machine learning projects from inception to deployment
• Experience coaching and mentoring machine learning engineers
• 5+ years experience in applied ML in the industry with an advanced degree (MS/PhD preferred) in computer science, machine learning, mathematics or similar field; strong preference for PhD with computer vision focus
• Clear understanding of algorithmic development, tactical model building, model tuning and monitoring, and developing business metric evaluation methods that optimize models for product use
• Robust understanding of experimental design; can independently design sequential, comprehensive set of falsifiable hypotheses pursuant to business needs; design data collection systems for data labeling and ground truth collection; define business metric measurement and evaluation systems for testing harness; and accurately interpret the results and outcomes of applied development onto the business at large
• Expert in Python, PySpark, PyTorch
• Experienced in various regression and classification approaches
• Hands on experience building NLP models, using a variety of techniques
• Experience working with healthcare data, computer vision, and time series data (epidemiological, population health, or clinical)
• Experience with AWS and Docker

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.

The salary range for this position is $180,00 to $195,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.

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