# Software Engineer, Applied Machine Learning at Fal

- Company: Fal
- What the company does: Easiest & most cost-effective way to use Gen AI. fal.ai is how devs integrate dozens of generative media models. FLUX, Kling, Hailuo +1000 more.
- Company website: https://fal.ai
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: On-site
- Pay: $180K to $230K base salary per year (USD)
- Posted: 2026-10-09
- Apply by: 2026-11-23
- Apply: https://jobs.ashbyhq.com/fal-ai/fd88a273-808a-4f96-8707-bbd722df18bc?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/fal-software-engineer-applied-machine-learning/

## About the role

We are seeking a hands-on, production-focused Applied Machine Learning Engineer to take technical ownership of the model layer powering our next-generation generative media platform. In this role, you will bridge the gap between cutting-edge generative research and scalable, consumer-facing products. You will split your time between extending SOTA open-source models with additional capabilities and helping maintain our fleet of generative model APIs. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Experience: 3+ years of professional experience as an Applied ML Engineer, with at least 1–2 years focused on generative media or computer vision
- Core Frameworks: Expert-level proficiency in Python and PyTorch
- Generative Media: Deep practical understanding of diffusion and flow-based generative models
- Open-Source Tooling: Hands-on experience working with open-weight model ecosystems, including Hugging Face, Diffusers, and related tooling
- Engineering Rigor: Ability to anticipate and solve challenges that arise when deploying ML models to production. Strong engineering judgment in designing systems that are scalable, reliable, secure, safe, and performant
- Training-Free Model Extensions: Experience designing and implementing training-free extensions to image, video, audio, or 3D generative models, such as novel conditioning methods, inference-time modifications, or new model capabilities

Tags: Engineering

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/fal-software-engineer-applied-machine-learning/