Machine Learning Engineer, Images

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Machine Learning EngineerData

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Quick Summary

Overview

About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems.

Technical Tools

awsazuregcppythonpytorchtensorflowmachine-learning

Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.

If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future!

About the Role

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As a Senior Machine Learning Engineer on the AI Image Generation (Imagine) team, you'll design, implement, fine tune, improve and debug the image AI models that power our lifelike AI bots. The Imagine Team at Cantina is responsible for all generative image and machine vision services. Your expertise in machine learning and scalable ML infrastructure will be crucial in developing innovative features that revolutionize how people connect and create online.

AI bots on Cantina are multimodal and can text and talk with you as well as send you selfies. To provide these capabilities, we continually develop and deploy new image generation pipelines that create photorealistic, consistent characters.

The Imagine team is constantly striving to improve the quality, character consistency, responsiveness to prompting, inference time, and incorporation of an ever increasing number of custom looks and appearance traits.

Responsibilities

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Evaluate new image generation and identity preservation papers and models.
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Develop and deploy new versions of the image generation and image analysis pipelines
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Monitor and fix production issues that impact users
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Fine-tune and optimize models to improve character consistency, prompt responsiveness, and inference latency
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Design and run experiments to benchmark model performance, tracking quality metrics across generations of pipeline improvements
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Collaborate with cross-functional teams to translate product requirements into ML solutions and bring new generative features from prototype to production

Demonstrated interest in AI image generation. This includes both personal and professional projects
Deep technical foundation in machine learning specifically in image synthesis
5+ years experience as a software engineer, preferably in services
2+ years of experience of building production-grade machine learning models in industry and/or academic research settings
Strong programming skills in Python and deploying Python based services
Familiarity with tools and frameworks involved in AI image generation including but not limited to Stable Diffusion, Diffusion Transformers (DiT), Visual Transformers (ViT), Tensorflow, PyTorch, Diffusers, ComfyUI, TensorRT, and CUDA
Experience building end-to-end scalable ML infrastructure with on-premise or cloud platforms including Baseten, Google Cloud Platform (GCP), Amazon Web Services (AWS) or Azure
Strong teamwork skills including communication and collaboration with both technical and non-technical team members

What We Offer

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The anticipated annual base salary range for this role is between $200,000-$265,000. When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.