Senior Machine Learning Engineer

VisitPay

Boise, ID, US
  • Job Type: Full-Time
  • Function: Data Science
  • Industry: Information Technology
  • Post Date: 07/20/2021
  • Website: visitpay.com
  • Company Address: 1101 W River Street Suite 120, Boise, ID, 83702

About VisitPay

VisitPay is the only patient financial engagement platform that simplifies the entire patient billing experience.
Through VisitPay, hospitals can create a seamless, singular point of interaction that radically reshapes the billing experience by providing greater transparency, choice and control to patients, all the while generating high yield.

Job Description

This role is for an experienced, senior-level Machine Learning engineer to join our team and help advance data engineering and ML initiatives as a member of our fast-paced modern ML, Data Engineering, and Data Science team.

 

This person will apply their extensive data engineering background and ML experience to help ideate, design, build and iterate on the next generation of VisitPay’s ML platform; will be responsible for working with DevOps to develop a robust, efficient, and automated deployment pipeline; and will help design the processes that facilitate our Data Scientists to use the ML platform, ensuring stringent requirements in the areas of performance, scalability, security, quality and reliability. We work in concert with application developers, quality assurance, IT, and client implementation teams in a fast-paced environment where you will be consistently challenged.

 

We are looking for a high performer with a drive for excellence. You come from either a data engineering or software engineering background and have developed strong production ML skills. You get a thrill out of using data and technology to solve complex problems and deliver useful insights. Mentoring is also one of your key strengths; you like teaching and watching talented individuals succeed. You enjoy learning at a fast pace in an agile environment to deliver value to your customers by revealing insights hidden in the data.

 

Key Activities:

 

  • Help design and build our next generation of reliable ML platform
  • Optimize ML Ops processes and delivery pipeline
  • Communicate regularly with stakeholders and users
  • Develop processes and tools to monitor and analyze scoring engine performance and data quality in production
  • Collaborate with DevOps, IT, Security, and other teams to automate the processes of deployment, monitoring, model retraining, and more
  • Propose new ideas to leverage and enhance ML capabilities. Teach people what the tools can do
  • Build tools to help turn data into answers and answers into more questions

Competencies for success:

 

  • Strong understanding of Machine Learning and the tools used to deliver insight
  • Adaptability to changing priorities, deadlines, and requirements
  • Communicate clearly to team members and project stakeholders
  • Keep up with latest ML trends, technologies, and strategies
  • Understand the software development lifecycle
  • Value continuous and incremental improvement
  • Work effectively with remote team members
  • Ability to prototype, develop MVPs, and iterate on design and build

 

Qualifications:

 

  • Minimum Bachelor’s Degree in C.S., software engineering, or related field
  • 7+ years experience working in Data Engineering/Data Science
  • 3+ years production level ML experience
  • Strong background in either Software Engineering or Data Engineering, with a good understanding of the other
  • Significant experience with logging, metrics, monitoring, and performance tuning
  • Experience developing cloud-based ML platforms, preferably in Azure
  • Experience with large-volume, heterogenous data sources
  • Experience with the following is a plus: Azure, Databricks, MLFlow, Python, SQL, Spark, and other ML Technologies
  • Extensive knowledge of Machine Learning evaluation metrics and best practices
  • Experience defining system architectures and exploring technical feasibility trade-offs
  • Experience working within Agile frameworks such as Scrum or Kanban
  • Prefer knowledge in the handling and security of sensitive data

Location:

 

  • This position is either in our Boise, ID office or remote.
  • Sponsorship is not available for this position.

 

Why VisitPay?

 

VisitPay is a well-funded mid-growth company in a $400B growing market. We are a nationally focused company working closely with some of the nation’s largest and most well-respected health systems to provide innovative and compelling SaaS-based products. We are poised to capture significant share in the massive and growing self-pay market. Our solutions help healthcare systems optimize their revenue while providing patients with much improved and friendly billing experience.

 

Located in beautiful Boise, Idaho, you will have the opportunity to work with an exceptional leadership team who has significant experience building companies in consumer finance, software, and analytics, and enjoy a competitive salary, benefits and equity appreciation rights, as well as a work/life balance suited to enjoy the beautiful landscape Idaho provides. 

 

Equal Employment Opportunity Employer

 

VisitPay is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic

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