Staff Machine Learning Platform Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff Machine Learning Platform Engineer (AI): Owning the infrastructure and systems that enable the ML discipline to scale and ship reliably with an accent on training pipelines, serving architecture, and distributed compute. Focus on building foundational tooling to accelerate ML delivery and solving complex challenges in geospatial data and model deployment.
Location: Must be based in or be able to relocate to Sydney, Australia (Relocation package and visa sponsorship provided).
Company
creates engineering-grade, physics-enabled digital twins of electricity grids to help utilities optimize investments and build climate resilience.
What you will do
- Define and drive the multi-year technical roadmap for ML training pipelines, serving architecture, and monitoring systems.
- Develop foundational infrastructure to standardize workflows and accelerate the path from experimentation to production.
- Solve distributed systems challenges related to training across large datasets with residency and security requirements.
- Design scalable serving architectures capable of handling spiky production loads across diverse verticals.
- Identify and eliminate bottlenecks in the ML lifecycle to turn research into routine delivery.
Requirements
- Significant technical experience running deep learning at scale and operating systems for ML engineers.
- Strong proficiency in Python and PyTorch or equivalent frameworks.
- Deep expertise in ML infrastructure including training pipelines, distributed compute, and model monitoring.
- Solid experience with cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).
- Experience building training data warehouses and bringing data systems to ML readiness.
- Must be willing to relocate to Sydney, Australia.
Nice to have
- Proficiency in writing and optimizing custom CUDA kernels for deep learning training.
Culture & Benefits
- Full relocation package and visa sponsorship provided.
- Competitive salary and meaningful ESOP.
- Fully flexible work environment with a stocked office in Redfern.
- Regular office events and a collaborative, mission-driven team culture.
- Opportunity to work on industry-leading products that make a tangible impact on global infrastructure.
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