Machine Learning Engineer – Generative Visuals (Text-to-Image)

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Job details

Y Combinator–backed Bio-Tech company is looking for a Senior Data Engineer to join their growing team!

This Jobot Job is hosted by Sydney Weaver

Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.

Salary $150,000 - $300,000 per year

A Bit About Us

With backing from Sequoia Capital and Y Combinator, a growing startup is looking for Senior ML Engineers and Applied AI Software Engineers to play a pivotal role in developing AI models that generate scalable vector graphics. This is a high-impact opportunity at the frontier of generative AI and their platform helps researchers quickly create accurate scientific visuals.



Why join us?

• Excellent Benefits
• Remote Work (USA or Canada)
• Growth Opportunity
• Pet Benefits
• Great Culture, PTO, 401K, and much more!
  
  

Job Details

Responsibilities

• Design and implement advanced ML architectures for vector graphics generation
• Own end-to-end development of generative AI systems, from prototyping to scalable deployment
• Leverage foundational model techniques to power scientific communication tools
• Collaborate with a world-class team of engineers with deep AI and product experience
• Deploy multimodal AI pipelines and ensure robust, production-level performance
• Drive technical decisions and long-term planning for the ML platform
• Evaluate and incorporate open-source tools where appropriate
• Participate in hackathons and in-person team events (remote-first culture)
  
  

Requirements

• Bachelor’s degree in Computer Science or related field and Master’s or PhD from a top-tier academic institution strongly preferred
• Text to image gen AI experience
• Demonstrated experience building and scaling generative models (e.g., foundational models, text-to-image, Adobe Firefly)
• Strong programming skills in Python and deep learning frameworks like PyTorch or TensorFlow
• Expertise with text-to-image, foundational model, or generative AI
• History of deploying multimodal AI systems in production environments
• Industry experience in both startup and large tech environments preferred
• Ability to pragmatically choose between custom solutions and leveraging existing tools
• Strong ownership mindset and ability to lead model architecture without heavy oversight
  
  

Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.

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