Member of Technical Staff, ML Engineer

Mirage(2 months ago)

Union Square, New York, NY, New York, NYOnsiteFull TimeMedior$200,000 - $300,000AI Research

About this role

The Member of Technical Staff, ML Engineer at Mirage is responsible for optimizing and deploying large-scale multimodal video diffusion models to ensure high-performance, low-latency inference in production environments. The role includes developing GPU-based inference pipelines, collaborating with DevOps on infrastructure, and implementing MLOps practices such as CI/CD for model deployment and monitoring. The engineer will work on cutting-edge AI technologies including audio-video generation and model optimization techniques like quantization and pruning to adapt models based on real-world data.

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Required Skills

Inference Deployment
Model Optimization
Production MLOps
Performance Scaling
Technical Expertise
Model Optimization Techniques
Infrastructure Management
Domain Experience
Deep Learning
GPU Acceleration

+5 more

Qualifications

Proven experience deploying deep learning models on GPU-based infrastructure (NVIDIA GPUs, CUDA, TensorRT, etc.)
Proficiency with Python and at least one deep learning framework (PyTorch, TensorFlow).
Hands-on experience with ML pipeline orchestration (Airflow, Kubeflow, Argo) and automated CI/CD for ML.

About Mirage

mirage.app

Mirage is a pioneering company redefining video generation and production through advanced AI technology. Based in New York City, Mirage develops innovative tools like the Captions app and Mirage Studio, which simplify the creation of short-form videos, making them accessible and scalable for users. The company's focus on hyperrealistic actors and emotive scripts empowers brands and creators to engage audiences effectively. Co-founded by Gaurav Misra and Dwight Churchill, Mirage aims to revolutionize the future of video content production.