Description:

Employment Hero is seeking a Senior Machine Learning Engineer to advance their AI efforts.
The role requires an expert-level understanding of large language models (LLMs) and staying updated with the latest developments in AI.
Key responsibilities include designing and building prototypes for machine learning and AI applications, architecting scalable AI systems, and implementing pipelines that integrate with existing infrastructure.
The engineer will design an evaluation framework to track system performance both online and offline.
The position involves understanding business needs to identify AI opportunities, creating actionable strategies for implementation, and developing compelling business cases for AI projects.
Collaboration with cross-functional teams, including software engineers and product managers, is essential to build AI solutions that address customer problems.
The role also includes providing technical guidance and mentorship to other ML engineers, fostering a culture of continuous learning and innovation.

Requirements:

Candidates must have 5+ years of experience in machine learning, with a strong focus on applied AI and large language models.
Strong experience with programming languages, techniques, and frameworks related to machine learning is required.
Experience with Generative AI, Prompt Engineering, and Large Language Models is essential.
Candidates should be at the cutting edge of AI research, continuously exploring new methodologies, tools, and techniques to enhance AI capabilities.
The ability to design and build working prototypes for machine learning and AI applications is necessary.
Candidates must be able to architect and implement scalable AI systems and pipelines, ensuring seamless integration with existing infrastructure.
The role requires the ability to work closely with cross-functional teams to build AI solutions that solve customer problems.
Candidates should be capable of providing technical guidance and mentorship to other ML engineers.

Employment Hero offers a remote work environment, providing flexibility to manage time and impact.
Employees will have access to cutting-edge tools to enhance their work, knowledge, and outputs.
The company promotes a culture of ambition and outcome-driven collaboration among colleagues.
Employees will own employee share options (ESOP) in one of the world’s fastest-growing tech companies.
A wide range of benefits is available, including a generous paternity leave policy, subsidized egg freezing, a work-from-home office expense budget, and outstanding learning and development opportunities.