SPREEAI

Machine Learning Engineer

• Design and operate training-as-a-service infrastructure
• Enable scientists to launch multi-GPU training jobs, track metrics, and receive completion notifications without directly managing infrastructure
• Build model CI/CD with automated evaluation gates, canary rollouts, and A/B testing hooks
• Own experiment tracking and data versioning for terabyte-scale datasets that change weekly
• Monitor training job health, including GPU utilization, loss curves, and OOM detection
• Drive training cost governance through spot instances, preemptible VMs, and budget alerts
• Partner with ML Scientists to translate workflow pain points into platform abstractions
• Evaluate and integrate external model providers, including Byteplus and Fireworks.AI, into the training and evaluation platform

MLOps Engineer

Full-stack Engineer

• Build and maintain React.js interfaces for the Partner Portal, Shopify onboarding flow, demo site, and Rescale App
• Design and own Go/Node backend services behind those surfaces
• Design REST APIs, authentication systems using OAuth 2.0, API keys, and JWT, webhook delivery, and PostgreSQL/DynamoDB data services
• Own frontend performance, accessibility, and interface polish
• Work directly with product and partner engineering leads to turn onboarding requirements into shipped end-to-end features
• Help establish engineering practices, code review norms, testing, and component/service patterns as the team scales
• Own features from Figma file through database schema
• Communicate proactively about risks and delivery status

Full Stack Engineer

• Design, build, and operate backend services in Go or Node.js
• Build REST APIs, authentication, and data layers for partner-facing and internal tooling
• Own webhook systems for partner integrations, including delivery guarantees, HMAC signatures, and retry logic
• Design API versioning, pagination, and idempotency to preserve existing integrations
• Work with PostgreSQL and DynamoDB on schema and query design under production load
• Partner with AI Platform on services that productionize ML checkpoints and serve inference
• Partner with Partner Engineering on partner-facing API contracts
• Help establish backend engineering practices, code review norms, and service patterns as the team scales
• Own backend services end to end, from design through production

MLOps Engineer

Full Stack Engineer

Backend Software Engineer