kausable

Full-stack Engineer

• Turn research models into production-grade services with clear reliability, latency and cost targets
• Build evaluation harnesses and release criteria to quantify when a model is ready to ship
• Design data pipelines, versioning and observability across training, evaluation and live inference
• Build stable APIs and developer-facing abstractions around the models
• Work with researchers to expose failure modes and turn product feedback into better models and evaluations
• Translate customer and design-partner needs into reusable platform capabilities
• Own model releases, monitoring and rollback patterns as the production footprint grows

Explore ML Product Engineer at kausable. Review requirements and application details.