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2 дня назад

Director of AI/ML (MedTech)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Director of AI/ML (MedTech): Leading the machine learning organization to build life-saving healthcare AI products with an accent on technical strategy, hands-on modeling, and infrastructure scalability. Focus on managing a high-performing team, architecting robust data pipelines, and bridging the gap between complex clinical workflows and production-ready machine learning systems.

Location: Must be based in the US (Remote)

Company

An early-stage, award-winning health-tech startup focused on saving lives by empowering care teams with real-time, data-driven patient insights.

What you will do

  • Define the machine learning roadmap and technical strategy while building a high-performing AI/ML team.
  • Partner with Engineering to design and implement scalable ML infrastructure and data warehousing solutions.
  • Contribute hands-on to critical model development, evaluation, and production debugging.
  • Translate complex clinical needs and requirements into actionable technical roadmaps.
  • Collaborate across clinical, product, and engineering teams to ensure measurable clinical impact.
  • Communicate technical model performance and strategy to non-technical stakeholders and investors.

Requirements

  • Location: Must be based in the United States.
  • Ph.D. in Machine Learning, Computer Science, Statistics, or related field.
  • 8+ years of experience shipping ML products and 3+ years in a leadership role at early-stage startups.
  • Deep expertise in production ML systems, real-time prediction, and performance evaluation.
  • Proven record of scaling data science teams in scrappy, resource-constrained environments.
  • Experience in healthcare or similarly regulated industries with high-stakes decision-making.

Nice to have

  • Hands-on experience with clinical data standards such as HL7, FHIR, or EHR systems.
  • Strong background in data platform architecture (e.g., Snowflake, Databricks, Redshift).
  • Track record of research publications or contributions to the broader ML community.

Culture & Benefits

  • Work on life-saving products backed by top-tier investors like Andreessen Horowitz.
  • Join an award-winning, cross-disciplinary team of clinicians and engineers.
  • Opportunity to shape the organization and engineering culture from an early stage.
  • Focus on high-impact work with real-world, clinical consequences.

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