Назад
Company hidden
4 дня назад

Principal Machine Learning Architect (AI)

183 000 - 257 000$
Формат работы
hybrid
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

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TL;DR
Principal Machine Learning Architect (AI): Designing and prototyping scalable agent-based AI solutions for healthcare workflows with an accent on architecture, reliability, explainability, and customer adoption. Focus on translating clinical and customer needs into technical direction, building proof-of-concept experiences, and moving emerging solutions into reliable products.

Location: Seattle, Washington preferred; remote/hybrid work available. Occasional travel 1–3 times per year is expected for company-sponsored events.

Salary: $183,000–$257,000 per year, plus bonus eligibility.

Company

MCG develops evidence-based healthcare guidelines and products that improve patient-focused care and documentation workflows.

What you will do

  • Lead technical discovery with Product Managers and customers, translating emerging healthcare workflows into end-to-end AI architectures.
  • Set architectural direction for agent-based solutions that can scale to support future capabilities.
  • Build prototypes and proof-of-concept experiences to validate feasibility, demonstrate value, and gather clinical and customer feedback.
  • Work with early-stage customers to understand their environments, identify adoption barriers, and shape evolving requirements.
  • Partner with Software Engineers and Data Scientists to move concepts into reliable, scalable products.
  • Communicate architecture decisions, risks, tradeoffs, and execution plans across technical, clinical, product, and customer audiences.

Requirements

  • 10+ years of experience in Machine Learning Engineering or a related field.
  • Experience designing and shipping large-scale AI solutions with a focus on reliability and scalability.
  • Strong architectural judgment and the ability to make long-term design decisions.
  • Experience working with early-stage customers and shaping requirements from incomplete information.
  • Experience collaborating across Product, Software Engineering, Data Science, clinical teams, and customer stakeholders.
  • Excellent written and verbal communication skills.

Nice to have

  • Experience with deep learning, natural language processing, or related AI methods.
  • Experience in healthcare or with medical data.

Culture & Benefits

  • Mission-driven work focused on improving healthcare and patient outcomes.
  • Medical, dental, vision, life, and disability insurance.
  • 401(k) retirement plan, flexible spending account, and health savings account.
  • 15 days of paid time off, personal days, company holidays, and paid volunteer days.
  • Paid parental and bonding leave, LGBTQ+ health services, and pet insurance.

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