4 дня назад
Software Engineering Manager (Machine Learning)
195 500 - 247 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
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
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.
- 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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