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4 дня назад

Software Engineering Manager (Machine Learning)

195 500 - 247 000$
Формат работы
remote (только USA)/onsite
Тип работы
fulltime
Грейд
senior/lead
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
Software Engineering Manager (Machine Learning) (Healthcare Personalization): Building and scaling the ML systems behind Cedar Pay’s Personalization Engine with an accent on end-to-end ML ownership, MLOps, model effectiveness, and patient-focused decisioning. Focus on leading production ML development, optimizing feedback loops, managing ML engineers, and applying generative AI, reinforcement learning, and recommendation approaches to healthcare financial experiences.

Location: USA. Flexibility to work from home or in the office.

Salary: $195,500–$247,000 per year, plus equity eligibility.

Company

hirify.global is a healthcare technology company building data-driven products and personalized financial experiences to make healthcare more affordable and accessible.

What you will do

  • Own the machine learning lifecycle for the Personalization Engine, including reliability, scalability, model effectiveness, deployment, inference, and monitoring.
  • Build production-grade ML systems, data pipelines, feature stores, feedback loops, and MLOps infrastructure.
  • Develop and evaluate personalization approaches such as ensemble models, reinforcement learning, multi-armed bandits, recommendation systems, and generative AI features.
  • Lead hands-on engineering work, conduct code and design reviews, and guide the technical roadmap from ideation through production.
  • Manage, mentor, and coach two machine learning engineers while raising engineering standards across the squad.
  • Partner with Product, Design, and software engineering to translate patient journey challenges into impactful ML solutions.

Requirements

  • 6+ years of professional experience in machine learning engineering.
  • Experience designing, building, and deploying production personalization systems or recommendation engines at scale for consumer-facing products.
  • Strong programming skills across the ML lifecycle; expertise in Python and SQL is highly preferred.
  • 1+ year of experience managing ML engineers or scientists, or comparable informal or dotted-line technical leadership experience.
  • Experience collaborating with product leaders and software engineers and translating business problems into supervised, unsupervised, or reinforcement learning tasks.
  • Experience building and integrating generative AI features into personalization systems or developing components for safe, high-performance GenAI features.

Nice to have

  • Technical leadership experience spanning product engineering beyond AI and ML components.
  • Experience in fintech, e-commerce, social media, healthcare, or other consumer-facing products.

Culture & Benefits

  • Flexible work from home or office arrangements.
  • Unlimited PTO for exempt employees, including vacation, sick, and mental health days.
  • 16 weeks of paid parental leave with health benefits and flexible return-to-work schedules.
  • Competitive pay, equity eligibility, health benefits, and fertility and adoption assistance.
  • hirify.global matches 100% of 401(k) contributions up to 3% of annual compensation.
  • Mentorship, employee and management coaching, and a discretionary learning and development budget.

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