5 дней назад
ML Engineer (Video Generation)
175 000 - 275 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
ML Engineer (Video Generation): Building and scaling the machine learning systems powering large-scale video and multimodal generation models with an accent on distributed training, inference efficiency, and production reliability. Focus on optimizing GPU utilization, applying distillation, quantization, and pruning, and achieving ultra-low-latency real-time generation.
Location: Onsite at the NYC headquarters in Union Square, New York City
Salary: $175K–$275K plus equity
Company
is an AI-native video platform that uses natural language to orchestrate video production and editing through generative models.
What you will do
- Train and optimize large-scale video and multimodal models.
- Improve training and inference efficiency across memory usage, latency, and cost.
- Implement distillation, quantization, and pruning techniques to accelerate diffusion and autoregressive generation.
- Build and maintain distributed training systems while optimizing GPU utilization, parallelism, and throughput.
- Develop tooling for experimentation, evaluation, and debugging.
- Translate research models into production-ready systems and monitor their real-world performance.
Requirements
- Bachelor’s, master’s, 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, performance profiling, and prototype-to-production skills.
Culture & Benefits
- Interdisciplinary environment focused on difficult technical and creative challenges in generative media.
- Medical, dental, and vision insurance plans.
- 401(k) with employer match and commuter benefits.
- Catered lunches, evening dinner stipend, Grubhub subscription, and health and wellness perks.
- Multiple team offsites per year, monthly team events, and generous paid time off.
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