5 дней назад
Applied Scientist II (AI Healthcare)
11 900 - 16 100$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied Scientist II (AI Healthcare): Building state-of-the-art machine learning models and practical AI solutions for complex healthcare challenges with an accent on experimentation, statistical analysis, and translating research into products. Focus on designing simulations, developing causal and statistical models, and deploying scalable solutions amid ambiguity in early-stage product development.
Location: Seattle, Washington, United States
Salary: $142,800–$193,200 USD annually, plus sign-on payments and restricted stock units.
Company
is a large technology company developing products and services at global scale, including healthcare-focused initiatives.
What you will do
- Design and implement novel AI and machine learning solutions for healthcare challenges.
- Analyze large datasets, generate insights, and develop statistical and machine learning models.
- Design simulations and experiments and establish best practices for model evaluation, development, and deployment.
- Translate research findings into practical products and actionable plans.
- Collaborate with scientists, engineers, product managers, customers, and partners to define requirements and deliver solutions.
- Partner with leadership on roadmaps and strategic initiatives for early-stage products.
Requirements
- PhD, or a master's degree with 4+ years of experience in computer science, computer engineering, machine learning, or a related field.
- 3+ years of experience building models for business applications.
- Experience solving business problems with machine learning, data mining, and statistical algorithms.
- Experience designing experiments and analyzing statistical results.
- Experience programming in Java, C++, Python, or a related language.
- Patents or publications in top-tier peer-reviewed conferences or journals.
Nice to have
- Experience with Unix/Linux and professional software development.
- Experience in machine learning, statistics, deep learning, natural language processing, or information retrieval.
- Experience applying causal inference techniques in AI and machine learning systems.
Culture & Benefits
- Startup-like environment backed by 's resources and operational capabilities.
- Collaborative work with scientists, engineers, product managers, customers, and partners.
- Health, dental, vision, prescription, life, and mental health benefits.
- 401(k) matching, paid time off, parental leave, and flexible spending accounts.
- Sign-on payments and restricted stock units may be included in the compensation package.
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