Research Engineer, Generative Video

Mirage
New York
Workplace: OnsiteFull timeUSD 175,000 - 275,000 annuallyFunction: Research & Scientific (R&D)Experience: 2+ yearsSkills: ["Debugging","Performance profiling","Prototype to production execution"]

Build and scale systems for generative video models, working on training objectives, scaling strategies, and inference optimization for ultra-low-latency, real-time generation. Improve efficiency across training and inference by applying techniques like distillation, quantization, and pruning. Own distributed training infrastructure, GPU utilization and throughput optimization, and production-readiness from research prototypes while monitoring real-world model performance.

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Mirage
Mirage
4 days ago

Research Engineer, Generative Video

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Build and scale systems for generative video models, working on training objectives, scaling strategies, and inference optimization for ultra-low-latency, real-time generation. Improve efficiency across training and inference by applying techniques like distillation, quantization, and pruning. Own distributed training infrastructure, GPU utilization and throughput optimization, and production-readiness from research prototypes while monitoring real-world model performance.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Train and optimize large-scale video and multimodal models
  • •Improve efficiency across training and inference (memory, latency, cost)
  • •Implement distillation, quantization, and pruning to accelerate diffusion and autoregressive generation
  • •Build and maintain distributed training systems and optimize GPU utilization, parallelism, and throughput
  • •Translate research models into production-ready systems and monitor model performance in real-world usage

Pay and Benefits

Salary: USD 175,000 - 275,000 annually
Perks:Health InsuranceDentalVision401kCommuter BenefitsMeal AllowanceWellness StipendPaid Leave

Key Requirements

  • •BS/MS/PhD in CS, ML, or related field
  • •2+ years of professional industry experience
  • •Strong experience in deep learning systems and infrastructure
  • •Expertise in PyTorch, CUDA, Triton, and distributed training (FSDP, etc.)
  • •Experience scaling and optimizing large models under low-latency inference constraints
Experience:2+ yearsAI-native videoGenerative mediaDeep learningMultimodal modelingLarge-scale models
Education:
Skills:DebuggingPerformance profilingPrototype to production execution
Tech Stack:PyTorchCUDATritonFSDP

Company Brief

Mirage
Mirage (formerly Captions) builds foundation models and products to generate and edit short-form social video using generative AI, offering consumer app Captions and an enterprise Mirage Studio for AI-generated marketing videos.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Funding: Series C
Headquarters: New York, United States
Founded: 2021
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