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Principal Machine Learning Engineer Job Opening In WorkFromHome – Now Hiring Vital.io


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

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Required Skill Profession

Electrical & Energy Engineering


  • Job Details

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Unlock Your Principal Machine Potential: Insight & Career Growth Guide


Real-time Principal Machine Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Principal Machine in WorkFromHome, New Zealand, highlighting market share and opportunities for professionals in Principal Machine roles.

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Are You Looking for Principal Machine Learning Engineer Job?

Great news! is currently hiring and seeking a Principal Machine Learning Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Vital.io adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying New Zealand laws and regulations

What Is the Average Salary Range for Principal Machine Learning Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Principal Machine Learning Engineer?

Key qualifications for Principal Machine Learning Engineer typically include Electrical & Energy Engineering and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Principal Machine Learning Engineer?

To improve your chances of getting hired for Principal Machine Learning Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Principal Machine Learning Engineer Job Success

Vital.io interview tips for Principal Machine Learning Engineer

Here are some tips to help you prepare for and ace your Principal Machine Learning Engineer job interview:

Before the Interview:

Research: Learn about the Vital.io's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Principal Machine Learning Engineer interview at Vital.io, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Vital.io's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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