ML Engineer, Images

New

Skills

AWS CUDA Google Cloud Platform Pytorch TensorFlow
Job Overview

Evaluate image generation and identity preservation papers/models. Develop and deploy image generation and image analysis pipelines. Monitor and fix production issues that affect users. Fine-tune/optimize models to improve character consistency, prompt response, and latency. Design and run experiments to benchmark model performance and metrics. Collaborate with cross-functional teams to ship ML features. Interest in AI image generation. Deep ML foundation in image synthesis.

Responsibilities
  • Evaluate image generation and identity preservation papers/models.
  • Develop and deploy image generation and image analysis pipelines.
  • Monitor and fix production issues affecting users.
  • Fine-tune/optimize models for improved performance.
  • Design and run experiments to benchmark model performance.
Requirements & Qualifications
  • 5+ years software engineering experience
  • 2+ years building production ML models
  • Strong Python programming skills
  • Experience with TensorFlow, PyTorch, CUDA
  • Experience building scalable ML infra on Baseten, GCP, AWS or Azure

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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