Machine Learning Ops Engineer

Location: Sydney, Australia 

Position: Full-time 

Healthcare is usually slow and boring. We believe in its potential to be exciting and entertaining. But changing the healthcare experience is hard – and we’re gonna need all the help we can get…!

About Eucalyptus

Eucalyptus (or 'Euc' for short) is an Australian founded digital healthcare company that is on a mission to solve the world’s biggest healthcare challenges - think fertility, and behavioural change around chronic conditions such as weight loss, diabetes, and mental health.

Founded in Australia in 2019, we have now helped over 500K patients globally by combining technology, design and operational excellence to help patients access the best clinical support when they need it - wherever they are.

Our 5 clinics (Juniper, Pilot, Kin, Software, & Compound) focus heavily on personalising the experience for different demographics and are powered by a growing team across 5 countries (Australia, UK, Germany, Japan, and the Philippines).

We’ve raised over AUD$160M in funding from Aussie and Silicon Valley investors who were early backers of Uber, Canva and AirBnb. With plans to launch into several more markets, offline channels, and tackle new conditions.

We’re looking to continue building our team of executional weapons who are passionate about healthcare, aren’t afraid to work hard, and invest in others through direct and honest feedback. This approach enables us to make the most impactful changes to improve the health of millions of patients globally.

About the role (What you’ll be doing) As an MLOps Engineer at Eucalyptus, you’ll be at the forefront of operationalizing our AI and machine learning models, seamlessly integrating them into our mission to deliver personalized, data-driven healthcare.

Collaborating with our Data Science, Engineering, Product and Analytics teams, you’ll work on ground-breaking projects that provide real-time, personalised patient products and AI-driven decision support. Your work will directly shape the future of preventive and personalized care, empowering clinicians, coaches, and patients. The day to day work will include the following responsibilities:

• Pipeline Development and Automation: Design, build, and maintain scalable pipelines for deploying machine learning models using tools like Google Cloud’s Vertex AI, BigQuery and DBT.
• Versioning: Utilize tools like VertexAI or MLflow to ensure proper versioning of data and models, supporting reproducibility and traceability in the ML lifecycle.
• Model Deployment: Develop and manage robust CI/CD pipelines with GitHub Actions for seamless model deployment and updates, ensuring efficient and reliable production rollouts.
• Model Tracking and Monitoring: Use tools such as MLflow or Vertex AI’s built-in tracking features to monitor and manage model performance, handling metrics logging, and model / parameter experimentation.
• Monitoring and Alerting: Set up monitoring systems with Datadog to track model performance, latency, and reliability in real-time, ensuring proactive issue resolution.
• Collaboration and Support: Work closely with data scientists, data engineers, and platform engineering teams to optimise and scale AI solutions, ensuring they align with business objectives and technical best practices.

About you (Who you are)

You are a skilled ML Ops Engineer with a passion for improving healthcare through cutting-edge technology. You are eager to take ownership on how to implement ML Engineering systems in production to optimise for speed, scalability and usability. Here’s what makes you a great fit for the role:

• Experience: 4+ years of experience in MLOps, machine learning engineering, or a related field, with a proven track record of deploying and maintaining ML models in production.
• Technical Proficiency: Expertise in cloud services, particularly Google Cloud (Vertex AI, BigQuery), and MLOps tooling.
• Lifecycle Mastery: Deep understanding of the MLOps lifecycle, from model development and deployment to monitoring and improvement.
• Collaboration Skills: Strong interpersonal skills to collaborate effectively with the data team, engineers, legal and other stakeholders.
• Ownership Mentality: You thrive in ambiguous environments, owning decisions that balance the trade-off between short-term agility and long-term scalability.
• Healthcare Enthusiasm: Passionate about transforming healthcare and contributing to impactful patient outcomes through AI and machine learning.

Why you should join Euc

• Our teams are incredibly passionate - Our talent bar is high and our work ethic is strong. You’ll get to stretch yourself everyday and work amongst people who care deeply about our patients. You’ll be given autonomy to tackle interesting problems and receive regular feedback from a supportive team
• We move at incredible speed - You’ll work with team mates who build in the open by sharing their work freely, this helps us learn and iterate quickly so we can deliver high quality outcomes faster than our competitors. You’ll **spend a lot of time outside of your comfort zone learning and iterating frequently, we wouldn’t have it any other way
• We will invest in your career - You’ll get access to an annual professional development budget, mentors and buddies to ensure that you have the support you need to level up. You can expect regular performance and pay reviews as your career grows. We're championing the next generation of talent – Euc has been recognised in Hatch's Hotlist as a Australia's top employer, as rated by Gen Z's.
• We are all owners - You’ll be given equity to ensure that you are able to benefit in the upside of your contribution in helping Euc grow. Your ideas will be valued regardless of your role, you will have ownership over the projects you work on which will feel both terrifying but extremely fulfilling
• We play as hard as we work - You’ll experience our frequently catered wellness themed talks, exercise classes, whoops to track your wellbeing, free barista coffees, funded social clubs and quarterly rooftop parties…we know how to let our hair down!
• We’ll have your back when you need us the most - You’ll be able to lean on a range of leave offerings to support you when needed, this includes: personal health and professional development leave, a generous parental leave that offers 20 weeks paid leave for a primary carer, additional miscarriage leave (see more on Kin Fertility’s #WeNeedMoreLeave campaign), as well as our Employee Assistance Programme

At Eucalyptus, we value individuals from all backgrounds, experiences, and perspectives, and we embrace the unique qualities each person brings. When you apply, please let us know of any reasonable adjustments you may need during the interview process.