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Head of Engineering at Lumiata
San Mateo, CA, US
About Lumiata
Lumiata delivers Machine Learning powered health analytics to make healthcare smarter. At the intersection of clinical knowledge, data science and machine learning, Lumiata provides cost and risk analytics to health plans, care providers and employers.
We process TBs of patient data per customer, which we use to train models that are used to solve our customer’s prediction and classification problems. We use a variety of ML techniques, ranging from simple linear regression, decision trees, SVMs and deep learning. We’re building a Big Data / Machine Learning platform for managing PBs of data, as well as providing our data science team capabilities that will allow them to iterate very quickly throughout the ML experimentation lifecycle: data cleansing, feature engineering, training, predict/classify, tune, and repeat. Our ambitions are around reaching economies of scale via our platform. 
Please apply on our careers page and our Talent Acquisition team will be in touch. 
We are seeking a Head of Engineering to lead our Machine Learning Platform, Applications and DevOps teams. This leader, in partnership with the CTO, will own the design and build out of the first inception of the platform, as well as the operations of the live platform. The platform and applications are being built to democratize Machine Learning in the world of Healthcare. At the core, the teams are building capabilities for building and deploying Machine Learning models using various ML paradigms, as well as building high performance systems to understand complex patient data at scale. 
Key Responsibilities
  • Define metrics of success for the engineering teams
  • Drive the execution and delivery of features and new products
  • Make critical decisions that attribute to the success of the product
  • Daily management of standups as the Scrum Master to drive team productivity
  • Partner with PO to align with objectives, priorities, tradeoffs and risk
  • Provide technical guidance, career development, and mentoring to team members
  • Drive architecture discussions and planning
  • Oversee software design and engineering best practices
  • Drive cross-functional coordination, planning, and reviews with leads from engineering and data science teams
  • Oversee, provide guidance and operations framework for all DevOps activities
  • Drive hiring of most talented individuals on our teams 
  • 15+ years of overall experience, including 12+ years experience leading software development projects, including people management, with a distinguished track record on technically demanding projects
  • Passionate and significant experience in building highly scalable, distributed, fault-tolerant and extensible platforms
  • Passionate about growing and mentoring people
  • Experience with Agile development methodologies
  • Expertise in JVM based languages (Java, Kotlin, Scala) 
  • Expertise in Python
  • Deep experience with microservices and cloud platforms (AWS, GCP, Azure)
  • Experience leading the buildout of Machine Learning capabilities 
  • Ability to live and lead by our core Lumiata Values
At Lumiata you will have the opportunity to learn how healthcare data flows from patient all the way through to meaningful insights and the many intricacies involved along the way including but not limited to:
  • How AI and machine learning can transform healthcare.
  • How to build and deploy novel machine learning products.
  • How healthcare information is stored and communicated between different actors in the healthcare system.
  • What modern, open standards have been developed to better communicate and represent medical data.
  • What specific standards must be respected and how to ensure compliance to handle sensitive healthcare data including HIPAA, SOC 2 and HITRUST among others.