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19 часов назад

Manager, Applied Science (AI)

300 000 - 390 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Manager, Applied Science (AI) (Machine Learning/Optimization): Building and leading production algorithmic systems that optimize provider tiers, power an LLM-based primary care experience, and personalize member engagement with an accent on machine learning, optimization, and healthcare outcomes. Focus on defining objective functions and evaluation metrics, productionizing safe LLM systems, and delivering algorithms that improve care quality, engagement, and total-cost-of-care savings.

Location: New York City office; in-office work required three days per week on Tuesday, Wednesday, and Thursday

Salary: $300,000–$390,000 target base compensation annually, plus equity and benefits

Company

hirify.global applies clinical metrics and healthcare data to help members access higher-quality care while reducing healthcare costs for employers.

What you will do

  • Lead, hire, coach, and develop a team of Applied Scientists.
  • Own the team roadmap, delivery priorities, technical direction, and production outcomes.
  • Choose and apply machine learning, optimization, heuristics, expert systems, or hybrid approaches.
  • Define evaluation metrics, validate solutions before launch, and monitor real-world performance.
  • Build algorithms that improve provider tiering, total-cost-of-care savings, member steerage, and engagement.
  • Translate ambiguous business goals into clear problem definitions with Research, Product, Engineering, and business stakeholders, and present results to senior leadership.

Requirements

  • 6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent, or 4+ years with a relevant advanced degree; PhD preferred.
  • Deep technical credibility and willingness to remain hands-on with code, data, and algorithmic decisions.
  • Strong judgment selecting statistical models, heuristics, optimization methods, and simpler algorithmic approaches.
  • Strong applied problem-solving skills, including defining meaningful metrics and delivering measurable improvements.
  • Ability to prototype quickly, communicate effectively at the executive level, and align cross-functional stakeholders.
  • Willingness to work from the New York City office three days per week on Tuesday, Wednesday, and Thursday.

Culture & Benefits

  • Mission-driven work focused on improving healthcare quality and affordability.
  • High-performance environment with urgency, individual accountability, and authentic feedback.
  • Flexible paid time off.
  • Medical, dental, and vision plan options.
  • 401(k) with company match, flexible spending accounts, and Teladoc Health.
  • Equity incentive plan.

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