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2 дня назад

Applied Scientist III (AI)

236 000 - 260 000$
Тип работы
fulltime
Грейд
senior
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
Applied Scientist III (AI): Designing, deploying, and improving production algorithmic systems for healthcare decisions with an accent on machine learning, optimization, LLM applications, and real-world outcome measurement. Focus on provider tiering optimization, a guarded and monitored AI primary care experience, and member engagement models using claims and behavioral data.

Location: New York City, New York, United States

Salary: $236,000–$260,000 annual base compensation, plus equity and benefits

Company

hirify.global partners with employers to improve healthcare quality and reduce costs by identifying high-performing doctors using proprietary clinical metrics and patient data, then encouraging members to access higher-quality care.

What you will do

  • Own ambiguous, high-stakes algorithmic problems from problem framing through production deployment and iteration.
  • Translate healthcare and business constraints into objectives, tradeoffs, decision frameworks, and evaluation metrics.
  • Select and apply machine learning, optimization, heuristics, expert systems, or hybrid approaches based on the problem.
  • Build provider tiering algorithms that balance geographic access with total-cost-of-care savings.
  • Fine-tune and productionize an LLM-based primary care experience with evaluation, guardrails, and quality monitoring.
  • Develop member engagement models using claims and in-app behavior to select effective communication channels and timing.

Requirements

  • 4+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; alternatively, 2+ years with a relevant advanced degree.
  • PhD preferred.
  • Strong applied problem-solving skills, including metric definition, solution validation, and outcome improvement.
  • Technical fluency across data science methods and judgment in choosing statistical models, heuristics, optimization, and algorithmic approaches.
  • Strong communication skills for explaining complex algorithmic ideas and securing cross-team stakeholder support.
  • Experience with Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, and modern LLM tooling and evaluation frameworks.

Culture & Benefits

  • Mission-driven work focused on improving the U.S. healthcare system.
  • High-performance environment with urgency, individual accountability, and direct feedback.
  • Flexible paid time off.
  • Medical, dental, and vision plan options.
  • 401(k) with company match and flexible spending accounts.
  • Equity incentive eligibility and access to Teladoc Health.

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