Forward Deployed Machine Learning Engineer

OmegaHiresSan Francisco, CA
1dHybrid

About The Position

We’re seeking a high-agency Forward Deployed / Applied ML Engineer to bridge cutting-edge generative AI research with real-world production systems. You’ll work directly with customers to deploy, optimize, and customize our FLUX diffusion models across diverse environments, from on-prem GPU clusters to hosted infrastructure.

Requirements

  • Hands-on experience deploying and serving generative AI / deep learning models in production
  • Strong expertise in diffusion models, model fine-tuning, optimization, and inference
  • Proven experience as an ML Engineer shipping models used by real systems
  • Strong Python skills and experience designing and consuming APIs
  • Ability to communicate complex ML tradeoffs to both technical and non-technical stakeholders
  • Experience working directly with customers on technical AI integrations
  • Know the FLUX ecosystem intimately—ComfyUI, common training frameworks, the tools practitioners actually use

Nice To Haves

  • Deep knowledge of diffusion models, flow matching, distillation, and advanced fine-tuning techniques
  • Experience optimizing inference for transformer-based models under real production constraints
  • Experience deploying models on cloud platforms with modern serving infrastructure
  • Background contributing to open-source ML / diffusion model projects
  • Experience designing solutions in constrained enterprise environments

Responsibilities

  • Deploy and optimize FLUX diffusion models in customer environments, balancing latency, cost, and output quality
  • Architect deep product integrations beyond APIs, including model hosting, inference optimization, and production deployment
  • Fine-tune and customize foundation models for customer-specific visual media use cases
  • Lead technical deep dives with customers to diagnose model, infrastructure, and performance issues
  • Translate customer challenges into actionable engineering solutions and research feedback
  • Identify emerging industry use cases for generative visual AI
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