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2 дня назад

Principal Machine Learning Engineer (AI)

180 000 - 200 000$
Формат работы
remote (только USA)
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
Principal Machine Learning Engineer (AI): Architecting scalable ML and LLM platforms for treatment recommendations, care personalization, and intelligent healthcare delivery with an accent on resilient infrastructure, production model pipelines, and real-time inference. Focus on designing continuous training and observability systems, optimizing complex model architectures, and guiding long-term ML strategy across engineering, product, and clinical teams.

Location: US - Remote

Salary: $180K–$200K plus $290K–$330K equity

Company

Hims & Hers is a public health and wellness platform delivering personalized diagnosis, treatment, and care access, including AI-powered healthcare solutions.

What you will do

  • Define the architectural vision for ML and LLM systems supporting treatment recommendations, personalization, and intelligent care delivery at scale.
  • Establish scalable, resilient, secure, and maintainable design patterns and infrastructure practices.
  • Prototype and optimize complex model pipelines and platform components using Python and ML frameworks such as PyTorch.
  • Architect ML infrastructure for continuous training, real-time inference, evaluation, and observability.
  • Partner with platform, product, and clinical teams on high-impact technical decisions and long-term product strategy.
  • Lead cross-functional initiatives, define quality standards, and mentor senior and staff engineers across squads.

Requirements

  • 10+ years of experience in machine learning and/or engineering, including technical leadership and system architecture across teams or business areas.
  • Expert-level Python proficiency and advanced ML framework experience with PyTorch or TensorFlow.
  • Experience designing, scaling, and evolving production-grade ML platforms for training, deployment, real-time inference, and monitoring.
  • Deep experience with LLMs and NLP, including transformer models, summarization, conversational agents, and embedding-based retrieval.
  • Advanced knowledge of ML infrastructure, continuous training, observability, performance optimization, and platform reliability.
  • Experience with Databricks, MLflow, SageMaker, or equivalent ML infrastructure tools.
  • Exceptional communication and cross-organizational leadership skills, with the ability to align technical and non-technical stakeholders around ML strategy and architecture.

Nice to have

  • Master’s degree or PhD in Computer Science, Machine Learning, or a related field; not strictly required.

Culture & Benefits

  • Full-time employment with competitive salary and equity compensation.
  • Unlimited PTO, company holidays, and quarterly mental health days.
  • Medical, dental, and vision coverage, parental leave, and a 401(k) with employer matching.
  • Employee Stock Purchase Program.
  • Offsite team retreats and a culture focused on ethics, wellness, belonging, sustainable speed, system ownership, and architectural clarity.

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