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Machine Learning Engineer
Confirmed live in the last 24 hours
San Francisco, CA, USA
Experience Level
Desired Skills
Data Structures & Algorithms
Google Cloud Platform
Microsoft Azure
  • Optimize Stable Diffusion training and inference latency to provide users their portrait faster
  • Work with our product team to create amazing portraits with prompt engineering skills
  • Reduce the mounting cost of our Stable Diffusion model deployed to Vertex AI in GCP
  • Bachelor's Degree in Computer Science or related field, or 3+ years of professional experience in ML/AI
  • Vertex AI, Sagemaker, Azure Machine Learning or equivalent cloud machine learning platform experience
  • Proven ability to ship ML infrastructure to rapidly iterate on new features or apps
  • Experience training deep learning models in PyTorch or TensorFlow
  • Build pipelines to execute deep learning inference and training requests
  • Build the interface for services to interact with ML pipelines
  • Build text, image, and video input and output processes to increase the quality and safety of the generative AI algorithms
  • Benchmark and optimize ML infrastructure for performance and cost
  • Investigate emergent generative AI technologies for inclusion in the Platform
  • Implement, test, and deploy new generative models to expand the Vana product suite
Desired Qualifications
  • Familiarity with diffusion models or generative AI models
  • Experience with Vertex AI and Google Cloud Platform
  • Experience in a startup environment

11-50 employees

Digital self generative AI platform
Company Overview
Vana's mission is to create a system for everyone to immerse themselves in their digital likeness and unleash their creative potential through generative AI. The company has created a platform that allows users to own their data and what makes them unique, including the AI models that understand how they look, speak and think.
  • Competitive base salary
  • Health insurance, dental and vision
  • Flexible work schedule
  • Unlimited PTO
Company Core Values
  • We're real people
  • We love creating new things together
  • We're our own agents