Senior Machine Learning Engineer

Employment Hero is an Australian tech unicorn, valued at over $1.25 billion. Our world-class software provides the easiest method for small and medium-sized businesses to manage HR, payroll, employee engagement, and benefits. Since our foundation in 2014, we have consistently grown 100% year-on-year and currently service over 200,000 businesses and over 1 million active users globally. We have exciting expansion plans for 2023 and beyond, driven by our mission of making employment simpler and more valuable for everyone. We adopt a Remote First approach with our team. Employment Hero can hire globally, provided candidates have the necessary working rights and are in a suitable timezone for their peers. If you possess the skills necessary for the job and are passionate about our mission, we want to hear from you! We are now searching for Mid/Senior Machine Learning Engineers who will play a key role in developing and launching machine learning models and systems. They bridge the divide between data science and software engineering, applying machine learning algorithms to real-world problems. Requirements To excel in this role, you'll need: - Proficiency across a range of machine learning algorithms, including supervised, unsupervised, and reinforcement learning, with a clear understanding of when and how to implement each specific algorithm. - Knowledge of data preprocessing tactics, including data cleaning and feature engineering. - Ability to measure model performance using metrics such as accuracy, precision, recall, F1-score, and AUC-ROC, and perform hyperparameter tuning to enhance model performance. - Experience in deploying machine learning models to production environments, including containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes), for batch and real-time inference. - Familiarity with cloud platforms like AWS, Azure, or Google Cloud for scalable and cost-effective model deployment and data storage. - Strong programming skills in Python and familiarity with common ML libraries like TensorFlow, PyTorch, scikit-learn, and Keras. - Strong software engineering principles, including modular code design, code optimization, and familiarity with software development best practices. - Proficiency in working with databases, both SQL and NoSQL, to access and manipulate data. - Knowledge of testing frameworks and practices to ensure model performance and reliability in production. Desirable skills/experiences (not essential for consideration): - DevOps practices and tools for reliable and scalable data solutions. - Experience with Generative AI and libraries like LangChain and LlamaIndex - Familiarity with NLP libraries and frameworks like NLTK, spaCy, Gensim, and Hugging Face Transformers for various NLP tasks. Benefits Some of the benefits of working with Employment Hero include: - Self, health, wealth, and happiness programs - Remote-first and flexible working arrangements - A generous budget for setting up your home office - Provision of the latest and greatest hardware, tools, and tech - Learning & development (including an external study policy, monthly live professional development classes, and premium online learning content!) - Social events to bond with your new colleagues, including an annual company trip abroad - Quarterly & yearly team celebrations - Employee Share Option Program: become an owner of Employment Hero! Apply now! We embrace diverse perspectives and experiences, and we invite people of all backgrounds and identities to apply for this position. Don't feel like this job is the exact fit for you? We have Software Development Engineer roles requiring different skills across .Net and .Net Core, Ruby on Rails, Python, Node and React - head to https://employmenthero.com/careers to find out more. Why join Employment Hero? - Raised $181M, gaining unicorn status in February 2022 - Ranked #38 in Deloitte Technology Fast 50 Australia 2022 - Ranked #2 in LinkedIn Top 25 Startups Australia 2021 - Made the Australian Top 100 Innovators List 2021 - Raised a $140M Series E round led by Insight Partners in July 2021 - Raised a $45M Series D round led by Seek in 2021 - Ranked #42 in Deloitte Technology Fast 50 Australia 2020 - Made LinkedIn Top 10 Startups 2020 - Raised a $22M Series C Round led by Seek in July 2019 - Raised an $8M series B round led by Seek and OneVentures - Ranked #20 in Deloitte Technology Fast 50 Australia 2019 - Became a GetApp Category Leader in Q1 2019 - Ranked #12 in Deloitte Technology Fast 50 Australia 2018 - Won HRD Gold Medal for Human Capital Management Systems in 2018 - Won HRD Gold Medal as Rewards and Recognition Service Provider in 2018 - Became HRD Rewards and Recognition Employer of Choice in 2018 - Made LinkedIn Top 25 Startups 2018 - Became an EY Entrepreneur of the Year National Finalist in 2018