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Principal Machine Learning Engineer

Principal Machine Learning Engineer

Vital.ioWorkFromHome, Manawatū-Whanganui, New Zealand
30+ days ago
Job description

Overview

We are looking for a Principal Machine Learning Engineer to join our remote-first team, in a New Zealand & Australia friendly timezone. You will be leading from the front on our ML efforts, ensuring that our AI-powered product features, both now and in the future, provide the best possible support to patients through their hospital journey. Vital's software keeps patients informed during an ER or Hospital visit : AI-powered wait time estimation, human-centered explanation of labs, AI-matched video education, AI-powered medical-to-plain-English translation, and clear step-by-step instructions on what to do next. It’s working well. We serve 3M+ patients each year, across over 100 hospitals.

This Role

Principal Engineers at Vital get sh

  • t done. In this role you will be working directly with our CTO; you’ll set the technical direction of our ML function; and you’ll also be writing code. This is not the kind of Principal role that requires you to be in meetings 5 hours a day so if you’re currently not on the tools this won’t be the role for you. We move fast - there are no hoops to jump through, or red tape to cut. We ship to production multiple times a day. We design software that is simple yet effective and your work will positively impact millions of patients and their families.

As the technical lead of our Machine Learning function, you’ll be responsible for :

Responsibilities

  • Owning the day-to-day execution of ML engineering initiatives, focusing on productionising and scaling ML solutions rather than research. So you will organise and run the discipline to ensure smooth delivery of production ready models
  • Providing engineering leadership on individual projects while remaining deeply technical; writing code, architecting solutions, and leveraging your software engineering background to build robust ML systems
  • Acting as the engineering voice in conversations with medical and operations stakeholders, pushing back on hypothetical "couldn't we just..." requests by grounding discussions in technical reality
  • Some data points we’re working with

  • 4 million events per day
  • 750k LLM invocations per week
  • 13k visits a day extrapolates to over 4 million hospital visits a year
  • As a remote-first company, the successful candidate can be based anywhere in New Zealand (or eastern parts of Australia). Vital has embraced a remote-first way of working, and our team is empowered to work wherever suits them (with a few IRL moments too of course).

    Engineering & ML at Vital

  • Our engineers are responsible for maintaining and developing our customer-facing products, and internal tools that support them
  • You will design, build and maintain features using a modern, serverless stack. All of our infrastructure rests within the AWS cloud, with our preference being AWS Managed Services, allowing our engineers to build products rather than maintain servers. Our products consist of full-stack serverless mobile web applications built with React and arranged with SST and Nx
  • We ingest and process millions of events from core healthcare systems using AWS Serverless technologies like Lambda, SQS, and EventBridge, as well as OpenSearch for operational insights
  • Code is deployed to production via CI / CD multiple times every day, with multiple layers of automated testing and code analysis in place. We prefer to catch potential issues as early as possible, so we continuously invest in our Developer Experience tooling and observability
  • AI agents are a big part of our development workflow, and the team frequently makes use of them from brainstorming to delivery
  • Engineers build, maintain, and support shared services, and we maintain an on-call roster across the wider Engineering team
  • Work is prioritized and delivered using a Kanban-style approach, and we iterate on our methodology as needed. Changes are delivered iteratively, making use of feature flags so that we can pilot them with a subset of customers and validate them
  • Hiring & Process

  • Hiring at Vital : Does this role seem like a good opportunity for you? If so, read our code of conduct, then fill out an application. After applying, you’ll complete technical challenges and puzzles in your own time. We will be in touch with next steps.
  • If you qualify, you’ll be invited to three interview stages : Culture & Screening, Technical, and Executive. We are committed to providing constructive feedback during this process.
  • Culture, Diversity & Inclusion

    Vital was founded to provide modern healthcare software to providers and patients everywhere, regardless of identity or circumstances. We’re building a diverse and inclusive team who are passionate about our mission. If you’re excited about improving healthcare and patient experiences but don’t tick every box, please still consider applying.

    Vital is proud to be an equal opportunity employer. We are committed to building a diverse and inclusive culture and celebrate authenticity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, or any other legally protected characteristics.

    Seniority level

  • Not Applicable
  • Employment type

  • Full-time
  • Job function

  • Engineering and Information Technology
  • Referrals increase your chances of interviewing at Vital.io by 2x

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    Principal Engineer • WorkFromHome, Manawatū-Whanganui, New Zealand

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