Generative AI Engineer (Remote)

Jobs via Dice; Seattle (WA); Remote; USD 150,000 - 300,000; Full time

Job summary

A Y Combinator-backed Bio-Tech company is seeking a Senior Data Engineer to develop advanced ML architectures for generative AI. This role offers opportunities to work on impactful projects in an innovative environment with excellent benefits, including remote work options.

Benefits

Excellent Benefits

Remote Work (USA or Canada)

Growth Opportunity

Pet Benefits

Great Culture, PTO, 401K

Qualifications

• Experience in building and scaling generative models.
• Strong programming skills in Python and deep learning frameworks.
• History of deploying multimodal AI systems in production.

Responsibilities

• Design and implement advanced ML architectures for vector graphics generation.
• Own end-to-end development of generative AI systems.
• Collaborate with a world-class team of engineers.

Skills

Python

Deep Learning

Multimodal AI

Generative Models

Education

Bachelor's degree in Computer Science

Master's or PhD from a top-tier institution

Tools

PyTorch

TensorFlow

Job description

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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 "Apply Now" 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
• 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 "Apply Now" button.

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Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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