Harnham
Overview
Base pay range
$160,000.00/yr - $200,000.00/yr
Machine Learning Engineer – FashionTech / Generative AI
Location:
New York City (On-site)
Compensation:
Up to $200K + equity
A fast-growing
FashionTech startup
is transforming how designers bring ideas to life with an AI-powered collaborative design platform. Used by top brands like DKNY, Quiksilver, and leading design schools, the platform reduces design cycles from months to days.
We are looking for a
Machine Learning Engineer
to take full ownership of the AI/ML stack and help turn cutting-edge research into production-ready features.
Responsibilities
Fine-tune and implement diffusion models for image generation & inpainting
Build and maintain scalable cloud-based systems (AWS preferred) for model deployment
Transform research prototypes into production-ready MVPs
Optimize performance, reliability, and monitoring of ML systems
Qualifications
4+ years of experience with diffusion models (e.g., Stable Diffusion) and computer vision
Proficiency in Python + PyTorch or TensorFlow
Cloud experience, preferably AWS
Familiarity with Docker, ML prototyping tools (Streamlit, Gradio), and experimentation frameworks
Preferred Qualifications
Experience with segmentation/classification models
ML Ops knowledge (MLFlow, CI/CD, monitoring tools)
Startup experience and an ownership mindset
This is a unique opportunity to shape the future of AI-powered fashion design in a small, high-impact team.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Industries: Retail Apparel and Fashion and Technology, Information and Media
Is this role still open? This description includes the typical posting details for the Machine Learning Engineer position at Harnham and related context but does not provide explicit expiry language. If the role is closed, update the IsExpired flag accordingly.
#J-18808-Ljbffr
$160,000.00/yr - $200,000.00/yr
Machine Learning Engineer – FashionTech / Generative AI
Location:
New York City (On-site)
Compensation:
Up to $200K + equity
A fast-growing
FashionTech startup
is transforming how designers bring ideas to life with an AI-powered collaborative design platform. Used by top brands like DKNY, Quiksilver, and leading design schools, the platform reduces design cycles from months to days.
We are looking for a
Machine Learning Engineer
to take full ownership of the AI/ML stack and help turn cutting-edge research into production-ready features.
Responsibilities
Fine-tune and implement diffusion models for image generation & inpainting
Build and maintain scalable cloud-based systems (AWS preferred) for model deployment
Transform research prototypes into production-ready MVPs
Optimize performance, reliability, and monitoring of ML systems
Qualifications
4+ years of experience with diffusion models (e.g., Stable Diffusion) and computer vision
Proficiency in Python + PyTorch or TensorFlow
Cloud experience, preferably AWS
Familiarity with Docker, ML prototyping tools (Streamlit, Gradio), and experimentation frameworks
Preferred Qualifications
Experience with segmentation/classification models
ML Ops knowledge (MLFlow, CI/CD, monitoring tools)
Startup experience and an ownership mindset
This is a unique opportunity to shape the future of AI-powered fashion design in a small, high-impact team.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Industries: Retail Apparel and Fashion and Technology, Information and Media
Is this role still open? This description includes the typical posting details for the Machine Learning Engineer position at Harnham and related context but does not provide explicit expiry language. If the role is closed, update the IsExpired flag accordingly.
#J-18808-Ljbffr