Key skills
AIMachine LearningML
About this role
Role Overview
- Build and ship AI features end-to-end (model → system → user experience)
- Design and iterate on prompts, tools, memory, and agent workflows
- Turn raw model outputs into structured, reliable, and predictable behaviors
- Debug issues across the full stack (model, orchestration, infra, UX)
- Optimize for latency, cost, and production reliability
- Develop lightweight evaluation frameworks to measure real-world performance
- Work closely with product and engineering to translate ambiguous problems into working systems
Requirements
- Strong foundation in machine learning and modern neural network architectures
- Hands-on experience with training, fine-tuning, or deploying ML models
- Ability to write clean, production-quality code
- Comfort working across abstraction layers (model → infra → product)
- Strong problem-solving skills in ambiguous, fast-moving environments
- Bias toward shipping, iteration, and continuous improvement
Benefits
- Our product focuses on achieving high reliability for long-running workflows
- Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features
- Iterations on models and systems are driven by real-world signals and measurable improvements