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Research Engineer, Generative Video

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Research Engineer, Generative Video in USA

  • New York, NY

Responsibilities

  • Train and optimize large-scale video and multimodal models
  • Improve efficiency across training and inference, including memory, latency, and cost
  • Implement distillation, quantization, and pruning techniques to accelerate diffusion and autoregressive generation
  • Build and maintain distributed training systems
  • Optimize GPU utilization, parallelism, and throughput
  • Develop tooling for experimentation, evaluation, and debugging
  • Translate research models into robust, production-ready systems
  • Monitor and improve model performance in real-world usage

Requirements

  • BS, MS, or PhD in computer science, machine learning, or a related field
  • At least 2 years of professional industry experience
  • Strong experience with deep learning systems and infrastructure
  • Expertise in PyTorch, CUDA, Triton, and distributed training, including FSDP
  • Experience scaling and optimizing large models under low-latency inference constraints
  • Strong debugging and performance profiling skills
  • Ability to move quickly from prototype to production

Benefits

  • Comprehensive medical, dental, and vision plans
  • 401K with employer match
  • Commuter benefits
  • Catered lunch multiple days per week
  • Dinner stipend every night when working late
  • Grubhub subscription
  • Health and wellness perks
  • Multiple team offsites per year and monthly team events
  • Generous PTO policy
  • In-person work required at the NYC headquarters in Union Square

Salary: $175k - $275k/yr

Mirage

At Mirage, we’re building full-stack foundation models and products that redefine video creation. Over 20 million content creators and businesses use Captions to reach their full creative and commercial potential.

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