Applied Machine Learning
Core
Bridge research and product to turn frontier generative models into production features across first-party app and API.
Role type
Applied ML Engineer
Builds
Production ML systems for creative use cases (text-to-image, image-to-text, image enhancement, multimodal) for first-party app and API
Domain
Generative AI, Diffusion Models, Creative Design
Deliverable
production ML models
Required skills
Python, PyTorch, Jax, backend code, benchmark design, evaluation metrics, error analysis, numerical debugging, dataset curation, labeling, cleaning, transformer architecture, diffusion models, encoder models
Preferred skills
None stated
Technologies
Python, PyTorch, Jax
Responsibilities
Fine-tune and deploy models for creative use cases, set client success metrics (quality, latency, cost), contribute to safety and monitoring, lead 0 to 1 projects shaping enterprise practices
Seniority
Mid-level, hands-on IC
