SpreeAI
Posted 5mo ago

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

SpreeAI
San Francisco, California, United States
HybridInternship
Responsibilities
  • Develop multimodal
  • Optimize diffusion
  • Collaborate infrastructure
Requirements
  • Degree in CS/AI/robotics or equivalent
  • Strong Python
  • Knowledge of ML fundamentals
  • PyTorch
  • CNNs/ViT/diffusion
Technical tools mentioned
PythonPyTorchC++JavaCNNsVision Transformersdiffusion architectures

Job description

About the Role

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.


Qualifications

  • 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.

 

Preferred Qualifications

  • Experience with Stable Diffusion, ControlNet, LoRA, or generative pipelines.
  • Human pose estimation, geometry-aware modeling, or video understanding.
  • Experience shipping ML systems into production.


Why Join SPREEAI? 

  • Real Impact & Ownership: This is an opportunity to shape a product and brand at the forefront of fashion-tech innovation. Your design work will directly impact how thousands (eventually millions) of people experience shopping with SPREEAI – no bureaucratic layers, your ideas can go live and make a difference immediately. You’ll own projects that truly matter in the company’s growth. 
  • Visionary Team & Exposure: Work side-by-side with a passionate founding team and collaborate with industry visionaries. You’ll have direct access to our CEO and leadership, and even get to interact with world-class advisors (our board includes an iconic fashion figure). It’s a chance to learn from and contribute to the best of both the tech and fashion worlds. 
  • Creative Freedom & Innovation: Join a high-growth startup environment that celebrates bold ideas and moves at lightning speed. You’ll have the autonomy to introduce new design concepts, test emerging technologies, and innovate without red tape. If you’ve ever wanted to combine your love of design, luxury fashion, and cutting-edge tech, you’ll have the freedom to do it here and see your vision realized. 


About SpreeAI

AI-powered virtual try-on and sizing software for fashion retailers.

Year founded
2022
Employees
40
Organization type
Private
Latest investment
Raised $100.00M Series B (2025) — led by Davidson Group
Headquarters
US

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