Software Engineer, Applied Machine Learning

As a Software Engineer specializing in Applied Machine Learning at fal, you will be instrumental in developing and fine-tuning machine learning models to enhance user experiences. This role involves identifying gaps in the current generative media landscape and creating innovative solutions to address customer needs. Your work will range from developing novel training architectures to fine-tuning existing models with unique datasets.

Your primary responsibilities will include designing and implementing machine learning models, collaborating with cross-functional teams to integrate these models into production, and continuously monitoring and improving model performance. You will also be expected to stay abreast of the latest advancements in the generative media space to inform and guide your development efforts.

The ideal candidate will have a strong background in machine learning, particularly in the context of generative media. Proficiency in Python and experience with frameworks such as PyTorch and Diffusers are essential. Familiarity with the fal Python SDK and experience working with large-scale GPU clusters for training and inference will be advantageous.

Compensation for this role ranges from $170,000 to $250,000 annually, complemented by equity and a comprehensive benefits package. Additional perks include relocation assistance to San Francisco, health, dental, and vision insurance, and regular team events and offsites.

At fal, we offer a dynamic and challenging work environment with ample opportunities for learning and growth. Our team is dedicated to rapidly iterating on and deploying new AI breakthroughs, making this an exciting opportunity for those passionate about shaping the future of generative media.