Diffusion Specialist at AutoHDR

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Jul, 26

Salary

280000.0

Posted On

22 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Diffusion models, Generative modeling, Image synthesis, Machine learning, Computer vision, Model training, Inference pipelines, Python, Scalability, System architecture, Fine-tuning, Real-time systems, Product engineering, Debugging, AI workflows

Industry

Photography

Description

About the Company AutoHDR is an AI real estate photo editing company, processing 25% of all US real estate photos. About the Role We are looking for unusually strong engineers who can ship broadly across the stack and also bring deep expertise in diffusion models, generative modeling, and image synthesis systems. We want builders who can contribute to product features, backend systems, internal tools, debugging, and AI workflows, while owning and advancing the core diffusion-based systems that power our image editing capabilities. Responsibilities Design, train, and improve diffusion-based image editing systems Build and optimize training pipelines for generative models Develop high-performance inference pipelines for image generation and editing Improve model quality across realism, consistency, controllability, and style fidelity Optimize diffusion systems for speed, cost, and scalability in production Collaborate with product and engineering to ship model improvements to users Implement / Improve Systems For: User-facing AI image editing tools powered by generative models Property manipulation tools (virtual staging, re-lighting, object edits, etc.) Style consistency and controllable editing systems High-throughput image generation and editing pipelines Qualifications You are a high-agency builder who likes ownership You may be a founder, CTO, founding engineer, or owned a core ML or generative system You have deep experience with diffusion models, generative modeling, or advanced computer vision systems Required Skills If your work is purely theoretical or disconnected from real product systems and users, this is probably not the right fit. Strong backgrounds we’re looking for: Zero-to-one model or system building Ownership of a core generative model or image system in production Strong understanding of diffusion models and generative techniques Experience improving model quality (consistency, realism, control, artifact reduction) Experience with training, fine-tuning, or adapting large models Ability to ship models into real-world systems with real users Real shipped products with real users Exceptional open-source, research, or competitive ability when it clearly reflects real technical horsepower Location Downtown Austin, TX Open to making exception for exceptional engineers, working remotely in SF Compensation $180,000 - $280,000+ base salary + equity and bonuses Final salary will be based on a number of factors including level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not bonuses. AutoHDR Core Values Our core values are the fuel for our continuous 20% month-over-month growth. Iron sharpens iron in our office, and the entire dev team is bought in to winning together. Persistence You believe anything is possible - the only variable is how long it will take. You will always continue trying to solve a problem, look for new solutions, and figure it out at all costs through continuous effort - even when most would give up. Optimism You believe strongly that you can accomplish anything you want - regardless of the odds. Even when everything is on fire, you never doubt your ability to pull through and win. Competitive Greatness Every individual on our team wants to be the best in the world at what they do. We are extremely competitive and will settle for nothing other than being the #1 player for AI real estate editing.

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Responsibilities

Design, train, and optimize diffusion-based image editing systems to improve realism, consistency, and controllability. Collaborate with product and engineering teams to deploy high-performance generative models into production environments.