Machine Learning Engineer

Signapse is a fast-paced tech-for-good startup focused on creating accessibility solutions for Deaf communities through AI technology. They are seeking a Machine Learning Engineer to optimize and build infrastructure for real-time sign language video generation, working across the full ML inference stack.

Responsibilities:

• Profile and optimise deep learning models used for sign language video generation
• Reduce inference latency using quantisation, pruning, mixed precision, and kernel optimisation
• Improve GPU utilisation and throughput across inference pipelines
• Work closely with ML researchers to ensure models are production-ready
• Build and maintain scalable model serving systems on GPU clusters
• Design autoscaling infrastructure to meet real-time SLAs
• Contribute to model deployment pipelines, versioning, and rollback strategies
• Develop benchmarking frameworks for tracking inference performance
• Identify bottlenecks across the ML pipeline and eliminate latency hotspots
• Implement performance monitoring and alerting for production systems
• Evaluate new hardware accelerators and inference run times
• Work with the research team to expand sign languages and digital signers
• Architect systems that allow rapid onboarding of new languages
• Build low-latency infrastructure that scales to hundreds of concurrent streams