Our mission and where you fit in

Our ambitious team at Employment Hero is on a quest to transform employment, making it easier and more valuable for everyone. Our world-class software is the easiest way for small and medium-sized businesses to manage HR, payroll, employee engagement, and benefits.

Since our inception in 2014, we've had enormous growth (100% YoY), now serving 300,000 businesses globally, with 2 million+ users on the platform, reaching unicorn status in 2022 - and we have no plans of slowing down.

There’s never been a more exciting time to join one of the fastest-growing global unicorns. We're a team of global innovators, who cherish diverse perspectives that fuel our mission; to simplify the world of work for SMBs worldwide. So let’s see if we could be a match!

As our Lead Machine Learning Engineer, you will...

Play a pivotal role in advancing our AI efforts. You will have expert-level understanding of Large Language Models (LLM) and stay up to date with the latest developments in this space to build scalable, robust, and high-performance AI systems. Your deep technical expertise and business acumen will be crucial in identifying opportunities for AI integration and leading implementation projects that drive business growth.

In your role, you'll be focused on...

• Design and build working prototype/s for machine learning and AI applications.
• Architect and implement scalable AI systems and pipelines, ensuring seamless integration with existing infrastructure.
• Design an evaluation framework to track the system performance online and offline.
• Understand business needs and identify opportunities where AI can drive significant value, creating actionable strategies and roadmaps for AI implementation.
• Develop compelling business cases, clearly define objectives, scope, and deliverables for AI projects.
• Work closely with cross-functional teams, including software engineers and product managers, to build AI solutions that solve customer problems.
• Provide technical guidance and mentorship to other ML engineers, fostering a culture of continuous learning and innovation.