Research Scientist (Engineering)

As a Research Scientist (Engineering) at fal, you will play a pivotal role in advancing the generative media ecosystem by developing innovative AI products and features. Fal provides the infrastructure, tools, and model access necessary for teams to transition from concept to production at scale, serving as a unified platform for high-performance inference, orchestration, and observability.

In this role, you will identify gaps in the current generative media market and devise new methods to address customer needs. Your work may involve creating novel training techniques, developing new model architectures, or fine-tuning existing models with unique datasets. You will assess the return on investment for various approaches, focusing on research that leads to the development of innovative products.

The ideal candidate holds a PhD in a relevant field and has a strong publication record in conferences such as ICCV, ICML, NeurIPS, or CVPR. Proficiency in Python, PyTorch, and familiarity with tools like Diffusers and the fal Python SDK are essential. Experience with large-scale GPU clusters for training and inference is also required.

Fal offers competitive salary and equity packages, along with health, dental, and vision insurance for U.S. employees. The company provides opportunities for learning and growth, regular team events and offsites, and supports visa sponsorship and relocation to San Francisco for exceptional candidates.

Joining fal means becoming part of a team dedicated to rapidly iterating on and deploying new AI breakthroughs, contributing to the development of AI-native products that are reshaping industries in a rapidly growing market.