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Senior Machine Learning Engineer

Who We Are

Employment Hero is on a mission to make employment easier and more valuable for everyone. Our Employment Operating System brings hiring, HR, payroll and benefits into an all-in-one solution. 

Since our inception in 2014, we’ve scaled to a $2 billion valuation and gained a presence in 6 countries globally - Australia, New Zealand, Singapore, Malaysia, the UK and Canada. We now service over 300,000 businesses and more than 2 million employees. 

The EH Way

At Employment Hero, we’re proud of our unique DNA, which we call The EH Way.  

  1. We are Mission First - everything we do (from what we work on, to how we allocate capital and where we focus) is driven by our Mission
  2. We are Remote First - we champion a remote environment with a preference for asynchronous communication and a high degree of autonomy 
  3. We are AI First - we are committed to using AI to accelerate our mission; AI is not just a tool, it’s a fundamental part of how we operate, innovate, and scale
  4. We are Apolitical - we do not take a position on political or social topics, unless it relates to our Mission
  5. We Live by Our Values - we role model our values 100% of the time
  6. We Expect High Performance - we set a high standard and we’re not satisfied with being average

This role 

As a Senior Machine Learning Engineer, you will play a pivotal role in advancing our AI efforts. You will have expert-level understanding of LLMs 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.

Your key focus areas will be: 

  • 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.

Who you are 

To thrive at Employment Hero, you’ll need to embody The EH Way - operating with focus, agility, and an obsession with impact. For this role, you’ll also bring: 

  • 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 aligned with machine learning.
  • Experience with Generative AI, Prompt Engineering and Large Language Models.
  • Be at the cutting edge of AI research, continuously exploring new methodologies, tools, and techniques to enhance our AI capabilities.
  • 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.
  • 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.
  • 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.

What we can offer

At Employment Hero, we don’t just talk about a better way to work - we live it. Joining Employment Hero means:

  • You will work remotely, with the flexibility to own your time and impact
  • You will access cutting-edge tools to amplify your work, knowledge and outputs
  • You’ll surround yourself with ambitious, outcome-driven colleagues who challenge you to do the best work of your life
  • You’ll own ESOP (employee share options) in one of the world’s fastest-growing tech companies
  • You’ll also have access to a wide range of benefits that includes: a very generous paternity leave policy, subsidised egg freezing (so you can make the choice that’s right for you, on your terms), a WFH office expense budget, and outstanding learning & development opportunities

At Employment Hero, we are committed to safeguarding the privacy of your application data. To understand how we do so, you can read our Applicant Privacy Policy here: https://employmenthero.com/legals/applicant-policy/

Employment Hero celebrates diverse perspectives and experiences, we invite people of all backgrounds and identities to apply for this position.

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CEO of Employment Hero
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Ben Thompson
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Average salary estimate

$125000 / YEARLY (est.)
min
max
$100000K
$150000K

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What You Should Know About Senior Machine Learning Engineer, Employment Hero

If you are a passionate and skilled Senior Machine Learning Engineer, Employment Hero has an exciting opportunity for you! At Employment Hero, we are on a mission to make employment easier and more valuable for everyone, and as part of this journey, your expertise in machine learning will pave the way for remarkable AI advancements. With a deep understanding of large language models (LLMs) and applied AI, you will architect and implement scalable AI systems that will help drive our business growth. Your role will involve designing innovative prototypes for machine learning applications, building robust pipelines, and evaluating performance to ensure our systems operate at their peak. You will work closely with cross-functional teams to translate business needs into actionable AI strategies while also providing mentorship and guidance to fellow ML engineers. If you thrive in a remote-first environment and are excited about the prospect of using AI to shape the future of HR and payroll, we would love to hear from you. At Employment Hero, you won't just work on cutting-edge technologies; you'll be part of a culture that values high performance and innovation. Join us, and let's redefine the workplace together!

Frequently Asked Questions (FAQs) for Senior Machine Learning Engineer Role at Employment Hero
What are the responsibilities of a Senior Machine Learning Engineer at Employment Hero?

As a Senior Machine Learning Engineer at Employment Hero, your primary responsibilities include designing and building prototypes for machine learning applications, architecting scalable AI systems, and collaborating with cross-functional teams to ensure seamless integration of AI solutions. You will also evaluate system performance, identify business opportunities for AI integration, and mentor other ML engineers to foster a culture of continuous learning and innovation.

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What qualifications are required for the Senior Machine Learning Engineer position at Employment Hero?

To qualify for the Senior Machine Learning Engineer role at Employment Hero, you should have over 5 years of experience in machine learning with a strong focus on applied AI and large language models. Proficiency in programming languages, techniques, and frameworks related to machine learning is essential. Additionally, experience with Generative AI and prompt engineering is highly desired, along with a proactive approach to staying updated on the latest AI trends.

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How does Employment Hero support its Senior Machine Learning Engineers?

Employment Hero supports its Senior Machine Learning Engineers by providing access to cutting-edge tools and resources that enhance your work. The remote-first culture allows for flexibility in your schedule, granting autonomy in managing your project timelines. Furthermore, you'll have the opportunity to work with ambitious colleagues who inspire innovation and push the boundaries of what's possible in AI technology.

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What is the significance of AI in Employment Hero's mission?

AI plays a crucial role in Employment Hero's mission to redefine the employment landscape. As a Senior Machine Learning Engineer, you will be at the forefront of developing AI solutions that streamline hiring, HR processes, payroll, and benefits. By leveraging AI, we aim to create valuable and efficient systems that empower businesses and enrich the employee experience.

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Can you explain the work culture at Employment Hero for a Senior Machine Learning Engineer?

The work culture at Employment Hero is built on The EH Way, emphasizing mission-driven work, remote-first flexibility, and high performance. As a Senior Machine Learning Engineer, you will engage in asynchronous communication, fostering a collaborative environment that values individual contributions. Our culture encourages continuous learning and innovation, ensuring that you are supported while pursuing your professional growth.

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Common Interview Questions for Senior Machine Learning Engineer
Can you describe your experience with Large Language Models as a Senior Machine Learning Engineer?

Highlight specific projects where you've implemented LLMs, discussing the model architecture and techniques you used. Emphasize how these experiences contribute to Employment Hero's AI objectives and mention any challenges you faced and overcame in the process.

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What strategies do you use to stay updated on AI advancements and trends?

Discuss your methods for staying current, such as following industry leaders, attending conferences, or engaging in online courses. Emphasize the importance of continuous learning for a Senior Machine Learning Engineer and how this aligns with Employment Hero's commitment to innovation.

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How do you approach cross-functional collaboration when working on AI projects?

Describe your collaborative mindset, providing examples of how you effectively communicate with software engineers or product managers. Stress the importance of understanding collective goals to ensure that AI solutions are aligned with business objectives at Employment Hero.

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What evaluation frameworks do you typically design for AI system performance?

Explain the frameworks you've previously used, discussing specific metrics you track (like precision, recall, etc.) and how these help measure the effectiveness of your AI systems. Tie your answer back to the performance expectations at Employment Hero.

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Can you provide an example of a successful AI project you've led and the outcomes it generated?

Share a concise case study of an AI project, detailing your role, technologies used, challenges faced, and the tangible results achieved, linking it to how AI drives value for businesses like those serviced by Employment Hero.

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What kind of mentorship experiences have you had with junior machine learning engineers?

Discuss your approach to mentorship, giving examples of how you foster a learning environment and guide junior engineers through challenging projects. Emphasize the value of mentorship in creating a thriving atmosphere at Employment Hero.

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Why do you think AI is crucial for enhancing HR and payroll systems?

Articulate the transformative potential of AI in automating processes, providing data-driven insights, and improving user experience. Relate this back to Employment Hero's mission to revolutionize the employment experience.

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Describe a time when you identified an opportunity for AI integration within a business process.

Provide a detailed example where you recognized an inefficiency that AI could solve, explaining your process for advocating the integration and the positive impact it had on the organization.

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What programming languages and frameworks are you most proficient in as a Senior Machine Learning Engineer?

List your top programming languages and machine learning frameworks, explaining your proficiency in each and how they relate to the requirements of the job at Employment Hero. Include any relevant projects that showcase your expertise.

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How do you prioritize tasks and manage time effectively in remote settings?

Discuss your time management skills, strategies for prioritization, and how you maintain productivity while working remotely, underscoring how these skills ensure you meet high-performance standards at Employment Hero.

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Full-time, remote
DATE POSTED
April 12, 2025

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