Senior Manager, Machine Learning

Summary

Join Cohere Health's Machine Learning Team as a leader, leveraging your expertise to translate complex business problems into analytical frameworks and drive impactful solutions. Collaborate with cross-functional partners, lead a team of machine learning engineers, and mentor staff. You will establish best practices, communicate results to senior leadership, and contribute to a collaborative, innovative culture. This fully remote opportunity requires 7+ years of machine learning experience, including 3+ years of team management, and an advanced degree in a quantitative field. The role demands expertise in machine learning algorithms, NLP, and Python, along with strong communication and presentation skills. Health-tech experience is highly preferred.

Requirements

• 7+ years of experience in machine learning, with at least 3 years of management experience hiring and developing teams
• Advance degree (MS or Ph.D.) in a quantitative field, Statistics, Math, Economics, Engineering, Computer Science, Business Analytics, Machine Learning
• Solid understanding and experience in machine learning algorithms, statistics, pattern recognition, classification, and data mining models
• Advanced understanding on NLP and large language models
• Strong software development skills with proficiency in Python. Experienced user of ML and data science libraries
• Proven track record in building and scaling teams, including recruitment, mentoring, and performance management
• Ability to meaningfully present results of analyses in a clear and impactful manner. Able to break down sophisticated machine learning model knowledge to digestible information for non-technical audiences
• Expertise in translating complex business problems into end-to-end machine learning products with a quantifiable business impact

Responsibilities

• Provide thought leadership & strategic thinking to translate business problems into analytical frameworks, and independently recommend actions and provide business insights
• Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations
• Establish and maintain effective performance tracking; identify product and program improvement opportunities, form hypotheses, propose, design and implement tests to drive enhancement and optimization
• Lead a team of machine learning engineers to execute multiple projects at any given time, utilizing different skill sets where applicable
• Foster a collaborative and innovative culture, set clear goals, mentor staff
• Establish best practices and coach junior members to develop and execute with scalability and reusability in mind
• Communicate machine learning concepts, project results, and actionable insights to senior leadership and non-technical stakeholders

Preferred Qualifications

Health-tech experience

Benefits

• Medical, dental, vision, life, disability insurance, and Employee Assistance Program
• 401K retirement plan with company match; flexible spending and health savings account
• Up to 184 hours (23 days) of PTO per year + company holidays
• Up to 14 weeks of paid parental leave
• Pet insurance
• Fully remote opportunity with about 5% travel