About the Role

We're seeking an experienced ML Research Scientist with a deep understanding of the generative media landscape and current state-of-the-art methods. In this role, you'll identify market gaps and develop innovative solutions to address customer problems. Your work will span from architecting entirely novel training approaches and model architectures to fine-tuning pre-existing models with custom datasets. You'll balance research impact with commercial value, prioritizing product-driven research that solves real-world problems over theoretical exploration.

As a Research Scientist at fal, you'll work at the intersection of cutting-edge AI research and practical product development. You'll have the opportunity to shape the future of generative media by translating emerging techniques into scalable solutions that reach millions of users.

What You'll Do

Develop and implement novel machine learning methods and architectures for generative media applications
Fine-tune and customize state-of-the-art models using proprietary datasets to create differentiated products
Evaluate ROI and feasibility of different research approaches, balancing innovation with practicality
Collaborate with a dedicated team focused on rapidly iterating and deploying AI breakthroughs
Leverage our massive GPU cluster for training, experimentation, and inference optimization
Translate research findings into production-ready implementations

Required Qualifications

Published research in top-tier ML conferences (ICCV, ICML, NeurIPS, CVPR, or equivalent)
Deep expertise in generative AI, diffusion models, or related areas
Advanced proficiency in Python and PyTorch
Strong understanding of modern ML frameworks and tools including diffusers library
Experience with large-scale model training and optimization
Ability to evaluate and articulate trade-offs between different technical approaches

Technical Stack

Core Technologies: Python, PyTorch, Hugging Face Diffusers, fal Python SDK
Infrastructure: Access to state-of-the-art GPU cluster for training and inference
Environment: Collaborative team focused on rapid iteration and deployment of AI breakthroughs

Why Join fal

Work on genuinely challenging and impactful research problems in a rapidly evolving field
Competitive salary and meaningful equity stake in the company
Extensive learning and professional growth opportunities in generative AI
Health, dental, and vision insurance (US-based employees)
Regular team events and offsites to build strong company culture
Visa sponsorship and relocation support available for qualified candidates
Remote work flexibility available for exceptional candidates (primary office in downtown San Francisco)

💰 Compensation not publicly listed. Market estimate for similar roles: from $80K, varying by experience and location.

fal

Open Positions (1)

Research Scientist (Engineering) - Generative Media