Machine Learning Engineer

Visia is a pioneering multimodal AI platform designed for heavy industry. The Machine Learning Engineer will be responsible for enhancing Visia's data flywheel by building tooling and automation for model training and data pipelines, directly impacting customer onboarding and operational intelligence.

Responsibilities:

• Automate and improve our instance-segmentation and vision-language model annotation tooling, creating smooth, efficient workflows for our annotators and model managers
• Build and maintain the pipelines that move data from deployed sensors → annotation → model training → production deployment
• Develop tooling for model performance monitoring, error analysis, and continuous improvement across customer sites
• Work closely with ML engineers to accelerate the feedback loop between deployed models and training infrastructure
• Contribute to custom Visia implementations for enterprise customers — building integrations with scale systems, ERPs, PLCs, and customer-specific reporting
• Support Forward Deployed Engineering (FDE) engagements by building reusable tooling and templates that make each deployment faster than the last
• Help translate customer operational needs into technical specifications and working software
• Build agentic tooling to accelerate GTM workflows — automated sales deck generation, customer research, and outreach
• Collaborate with the CEO on automating operational workflows
• Contribute to Visia's overall product roadmap and help shape the future of physical intelligence in heavy industry