3 дня назад
Senior Software Engineer - Machine Learning (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer - Machine Learning (AI): Design and deliver reliable AI/ML products, pipelines and services for property experiences used by millions of people with an accent on LLMs, multimodal vision-language models, and production ML engineering. Focus on building scalable model lifecycle, evaluation, monitoring, and real-time and batch data pipelines.
Location: Hybrid role permanently based in Melbourne or Sydney, Australia
Company
builds digital property products that help people find homes and access property-related services.
What you will do
- Design, implement, test, evaluate, deploy, and monitor AI/ML products, pipelines, and services.
- Build reliable and scalable ML systems using Python, PyTorch, AWS, Docker, CI/CD, observability, and infrastructure as code.
- Develop and maintain real-time and batch data engineering pipelines with Airflow, SQL, BigQuery, and Kafka.
- Implement and optimize ranking, relevance, and retrieval models using embeddings, transformers, and LLMs.
- Establish automated evaluation and monitoring to detect model drift and maintain product quality at scale.
- Contribute to ML platform capabilities and own model versioning, deployment, and lifecycle management.
Requirements
- Commercial production experience in machine learning, ML engineering, MLOps, software engineering, and LLMs.
- Experience with model training, evaluation, inference, and observability using structured and unstructured data, including image and text.
- Strong Python and SQL skills, with the ability to create high-quality, maintainable software.
- Ability to select appropriate ML approaches and tools for commercial applications.
- Clear written and verbal communication, collaborative delivery, and the ability to lead feature design and implementation.
- Ability to work from Melbourne or Sydney in a hybrid setup.
Culture & Benefits
- Hybrid and flexible working approach.
- Flexible leave, including birthday leave and the option to purchase additional leave.
- Flexible parental leave for primary and secondary carers.
- Volunteering leave, community grants, matched payroll giving, and community charity initiatives.
- Hackdays and a collaborative environment focused on learning, mentoring, and inclusion.
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