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About the role
Key responsibilities & impact- Design, build, and maintain scalable systems for serving machine learning models in production
- Optimise inference performance, including latency, throughput, and cost efficiency
- Collaborate with ML researchers and engineers to productionise models
- Implement monitoring, logging, and alerting to ensure system reliability
- Contribute to platform tooling that improves developer experience and ML workflows
- Identify opportunities to improve infrastructure and drive technical enhancements across the platform
- Provide on-call support to the services supported by the team
Requirements
What you’ll need- Passionate about building reliable, scalable systems
- Experience with backend systems
- Exposure to deploying or supporting machine learning models in production
- Comfortable collaborating across teams
- Eager to learn and grow in a fast-paced, product-driven environment
Benefits
Comp & perks- Equity packages - we want our success to be yours too
- Inclusive parental leave policy that supports all parents & carers
- An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more
- Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learninginference performancesystem reliabilitybackend systemsmonitoringloggingalertingscalable systemsinfrastructure improvementtechnical enhancements
Soft Skills
collaborationpassion for reliabilityeagerness to learnadaptabilityteamworkcommunicationproblem-solvinggrowth mindsetdeveloper experience focusfast-paced environment
