pythontransformersllmmachine learningpytorchtensorflownlpdatabricksml infrastructurereal time inference
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
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$180к-200к/год
$190к$220кмедиана$260к
По похожим ролям (50) ~ $220к/год
На СНГ рынке: $4.7к/мес ($3.7к - $6к)
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Крутая вакансия
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Понятная зона ответственности на уровне Principal, практическая работа над ML-платформой и связь с продуктами в здравоохранении дают роли высокий потенциал; главное ограничение - доступна только специалистам, находящимся в США.
Только для США
Современный стек
ИИ в здравоохранении
Чёткая зона ответственности
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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