Revero
Our mission is to reverse autoimmune and other chronic diseases by addressing the root causes
2 - 10
Senior Machine Learning Engineer
March 6, 2023
🏡 Remote – Anywhere in California
Revero
Our mission is to reverse autoimmune and other chronic diseases by addressing the root causes
2 - 10
Description
• Revero is seeking a senior machine learning engineer who can rapidly deploy ML models in production at a fast-growing startup. • The candidate will leverage patient data to build intelligent systems that power the product and improve patient outcomes. • Key responsibilities include researching, developing, deploying, and monitoring machine learning models in production and translating business objectives into empirical problems that can be optimized. • The ideal candidate must have 4+ years of experience as a machine learning engineer deploying models in production at scale, expertise in Python's machine learning ecosystem, and SQL database expertise. • They should be passionate about optimizing products or operations through production ML systems and exploring data to understand the user behavior and processes. • The role offers 1%-1.75% equity and a compensation ranging from $160,000 - $185,000.
Requirements
• 4+ years of experience as a machine learning engineer deploying models in production at scale • Expertise in Python's machine learning ecosystem • SQL database expertise • Experience deploying models as a part of a microservice • Experience with tensorflow or pytorch • Experience with Apache Spark or Apache Beam • Experience in Healthcare • Strong communication skills
Benefits
• Competitive compensation package with an above-market (2-3x) equity stake • Opportunity to work for a fast-growing startup with a vision to reverse disease and revolutionize healthcare • Chance to be an early engineer and grow into a leadership role • Access to experienced technical team who values code quality • Ability to leverage comprehensive patient data to build intelligent systems to improve patient outcomes • Opportunity to optimize products and operations through production ML systems and data exploration.
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