ML Engineer
Core
Designing and building LLM-based systems to test, evaluate, and release software for international users, ensuring quality and reliability.
Role type
Senior IC machine-learning engineer (LLM quality systems)
Builds
AI-powered quality systems, evaluation frameworks, and classification pipelines for software localization and release
Domain
Software localization, internationalization, and quality assurance
Deliverable
production ML models
Required skills
LLM application development, prompt engineering, systematic model evaluation, Swift, Python, backend development for ML, iterative model improvement
Preferred skills
Model fine-tuning and training, computer vision, object detection, open-weights models, local inference, multi-agent systems, LLM serving infrastructure, software test automation, software localization, mentoring
Technologies
LLMs, Swift, Python, open-weights models
Responsibilities
Build evaluation frameworks with benchmarks and graders; reduce cost and latency via prompt optimization; design feedback loops for model improvement; build LLM systems for quality tasks and adversarial grading; design classification pipelines for failure triage; build datasets for model evaluation and training; write maintainable code
Seniority
Senior, hands-on IC
