Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$158к-190к/год
$140к$180кмедиана$210к
По похожим ролям (50) ~ $180к/год
На СНГ рынке: $3.7к/мес ($3к - $4.4к)
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Вакансия предлагает самостоятельную работу над важными AI-системами в развитом healthcare-продукте и прозрачную оплату, но зарплата ниже медианы рынка, а работа требует регулярно приезжать в офис в Нью-Йорке.
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Ниже рынкаПолная ответственностьСовременный стекИИ в медицинеОфис три дня
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Applied Scientist III (AI): Designing and shipping production algorithmic systems for healthcare, including provider tiering optimization, an LLM-based primary care experience, and member engagement models with an accent on machine learning, optimization, evaluation, and real-world healthcare outcomes. Focus on framing complex constraints, defining objective functions and metrics, productionizing safe AI systems, and improving algorithmic decisions through validated experimentation.
Location: New York City office in the Financial District; in-office work required three days per week on Tuesday, Wednesday, and Thursday.
Salary: $158,000–$190,000 annual base compensation, plus equity eligibility and benefits.
Company
hirify.global applies clinical metrics, healthcare data, and algorithmic systems to help members find higher-quality, lower-cost care.
What you will do
Design, ship, and iterate production algorithmic systems from problem framing through launch and measurement.
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 optimize geographic access and total-cost-of-care savings.
Fine-tune and productionize an LLM-based primary care experience with evaluation harnesses, guardrails, and quality monitoring.
Develop member engagement models using claims data and in-app behavior to select effective communication channels and timing.
Requirements
2+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent advanced degree.
Strong applied problem-solving skills, including metric definition, solution validation, and delivery against measurable outcomes.
Strong judgment in choosing among statistical models, machine learning, heuristics, optimization, and simpler algorithmic methods.
Ability to prototype quickly, understand model-dependent data, communicate clearly with senior stakeholders, and review code and analyses.
Experience or ability to work with Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, Hugging Face, and modern LLM tooling.
Ability to work from the New York City office three days per week on Tuesday, Wednesday, and Thursday.
Culture & Benefits
Work on AI and healthcare reform problems with direct impact on healthcare outcomes.
High ownership, autonomy, urgency, and individual accountability within a mission-driven team.
Consistent coaching and opportunities to develop through challenging, ambitious work.
Flexible paid time off, medical, dental, and vision plan options.
401(k) with company match, flexible spending accounts, and Teladoc Health benefits.
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