Machine Learning Engineer (Computer Vision/Multimodal/Generative AI)

SpreeAI Corporation
San Francisco, CA, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Artificial Intelligence Computer Vision C++ (Programming Language) Computer Programming ControlNet Data Structures Python (Programming Language) Machine Learning Object-Oriented Software Development Pytorch Generative AI
+4 more
Information Technology Machine Learning Operations Stable Diffusion Software Coding

Job description

We are hiring Machine Learning Engineers who want to work on frontier problems in vision and generative AI where standard solutions break. You will work across photorealistic virtual try-on, video-based modeling, Smart Sizing, and multimodal representation learning. The work spans modern architectures such as diffusion models, transformers, and learned visual representations, with emphasis on controllability, compute efficiency, and production readiness. This role sits at the intersection of applied research and engineering execution.

What you’ll do

  • Develop and improve multimodal AI systems involving image, video, and generative pipelines.
  • Work on diffusion model optimization, controllability, and step efficiency.
  • Design experiments and evaluation frameworks for visual realism and consistency.
  • Translate research prototypes into scalable production systems.
  • Collaborate closely with infrastructure teams to optimize training and inference.

Requirements

Do you have experience in Software coding?, * Degree in Computer Science, AI, Robotics, or comparable combination of education and practical experience.

  • Strong programming skills in Python and familiarity with object-oriented languages (C++, Java, or similar).
  • Strong data structures and algorithms fundamentals.
  • Experience with PyTorch or similar frameworks.
  • Familiarity with CNNs, Vision Transformers (ViT), or diffusion architectures., * Experience with Stable Diffusion, ControlNet, LoRA, or generative pipelines.
  • Human pose estimation, geometry-aware modeling, or video understanding.
  • Experience shipping ML systems into production.

About the company

SPREEAI is a fast-growing, innovative AI company at the forefront of fashion and e-commerce, revolutionizing how consumers engage with fashion through lifelike photorealistic try-on technology and hyper-personalized shopping experiences. Our mission is to redefine the retail landscape with cutting-edge AI solutions that blend high fashion and technology. We thrive in a dynamic, fast-paced environment where creativity meets technology to drive real impact. If you are passionate about innovation and shaping the future of fashion, SPREEAI offers a platform to make your mark.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

2:37 min

Tracing the evolution from early AI to generative AI

Mike Mike · WWC 2025

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · WWC 2023

3:22 min

Evaluating advanced artificial intelligence platforms for daily recruitment

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

2:14 min

Introduction to generative AI and content warnings

Cheuk Ho · WWC 2023

1:06 min

Compiling PyTorch environments for advanced time forecasting

Christoph Lohrmann Christoph Lohrmann +1 · WWC Europe 2026

Videos

See all

Related articles

See all