Senior Machine Learning Infrastructure Engineer

Job description

About the role

Machine learning infrastructure underpins all of our data products, and enables R&D on highly complex systems with the potential to unlock untapped value.

Currently we have two dedicated machine learning infrastructure engineers, and carry some key-person risk as a result.

Increasing resource in this discipline will ensure we are running our ML initiatives at a maximum velocity, and minimizing risk associated with the quality of service provided by our predictive systems.

We are looking for a Senior Machine Learning Infrastructure Engineer who can scale our market-leading behaviour models, grow our team of data scientists, and extend the way we apply machine learning to all areas of the business.

We’re looking for people who are hungry to make an impact, are comfortable in a fast-paced environment, and love helping the people around them succeed.

• Design and maintain scalable ML pipelines for training, validation, and inference
• Build and optimize model serving infrastructure with proper monitoring, logging, and alerting
• Implement MLOps practices including automated testing, deployment, and rollback systems
• Manage data pipelines and ensure data quality, lineage, and governance
• Optimize model performance and resource utilization across different environments
• Collaborate with data scientists to productionize models and research experiments

Technical Requirements:

• Strong proficiency in cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
• Experience with ML frameworks (TensorFlow, PyTorch) and serving systems
• Knowledge of orchestration tools
• Proficiency in Python, SQL, and Infrastructure as Code (Terraform)
• Experience with monitoring and observability tools
• Understanding of CI/CD pipelines and version control systems

Infrastructure Skills:

• Database management (both SQL and NoSQL) and data warehousing solutions
• Stream processing and real-time data systems (Kafka, Spark Streaming)
• Model registry and experiment tracking systems
• Performance optimization and cost management in cloud environments

• A solid track record working as a machine learning engineer, with examples of outcomes you’re proud to have delivered
• A comprehensive understanding of the fundamentals and design systems behind building reliable, scalable and fit-for-purpose machine learning models and infrastructure
• Strong experience in Python and familiarity with development in a backend tech stack
• A strong understanding of data engineering best practices and AWS infrastructure
• Experience working in agile development practice, in a cross-functional development team
• Understanding of common development processes such as version control, continuous integration/delivery, code reviews, and pair programming
• Someone who is product-oriented and cares about customer experience, being able to solve real-life customer problems
• Importantly, we are looking for someone who is passionate about what they do and eager to learn

• Dedicate yourself to solving real-world problems alongside an epic team in a culture designed around growth.
  
  
• A genuine and shared connection to our mission to make a difference in the world.
  
  
• The pride of joining an iconic New Zealand technology company.
  
  The excitement, risk, and reward of a high-growth technology scale-up on the global stage.
  
  
• Our ideas are truly valued, we are able to move fast, and our impact is real.
  
  
• State-of-the-art, dog-friendly office that’s been thoughtfully designed right in the heart of Auckland city.
  
  Did we mention dogs and cows?
  
  
• Healthy body, healthy mind.
  
  We’re partnered with Southern Cross Health Insurance to support your well-being.
  
  
• We offer 6 months of fully paid parental leave for primary caregivers, 4 weeks of fully paid secondary caregiver leave and many other parental benefits that support you and your family.
  
  
• Our personal growth is important.
  
  Halter offers an annual $1000 self-development budget to be used for anything that fuels personal growth.
  
  
• Our time to recharge is valued, we’re offered wellness leave and unlimited paid annual leave.
  
  
• We offer an inclusive and attractive remuneration package made up of salary, benefits and an employee stock ownership plan.
  
  
• Delicious snacks and drinks are available for your daily flow..
  
  

Our Office First Approach

There’s a reason you visit your friends in person, live with your family and don’t do dinners over Zoom.

Humans are wired for connection.

We believe a world-class, in-person office culture is the best way for high-performing teams.

Being office first is a core pillar of our culture.

We believe in-person connections are key to driving your own growth, learning, impact, and building genuine long-lasting relationships.

Strong relationships make it easier to disagree, give feedback, and do meaningful and aligned work.

We don’t like having heaps of rules or policies, but this means having strong, trusted relationships is critical.

We’re office first, not office only.

This means working from the office everyday is our default setting, but we flex when we need to.

We have a high-trust culture, so everyone is trusted to do what’s best for Halter.

Our office vibe is something special, it’s hard to describe until you’re here, but people at Halter who have come from fully remote or hybrid companies say they could never go back - the high energy and spectacular people they are now surrounded by everyday makes work so enjoyable.

Your growth, your learning and your impact is truly unlimited here, and a big part of that comes from being together solving problems, innovating, building context, and constantly learning from each other.

About Halter

At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations.

Our customers are using Halter to break free from the time-intensive constraints of conventional practices.

Imagine watching 500 cattle stand up and walk calmly towards their next break?

No quad bikes, no dogs, no fences.

Just a group of cattle walking at their own pace.

People say it looks like magic.

Our customers are revolutionizing grazing with Halter.

It's changing lives and transforming an industry.

People join Halter to do meaningful work.

By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance.

Our team out-think, out-work and out-care.

We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard.

We’re backed to deliver on a mission that matters by Tier 1 investors including Bessemer Venture Partners , DCVC , Blackbird , Promus Ventures , Rocket Lab’s Peter Beck and Icehouse ventures .

To find out more, visit our careers website , LinkedIn & Instagram .

Join our team

Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives.

Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement.

If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter.

We’d love to chat to see if you’ll be an epic fit!

If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch!

Please also feel free to check out the careers page for more information on working at Halter and don't forget to follow us on LinkedIn & Instagram .

Required Skill Profession

Networks & Systems