Research Engineer (LLMs)

TL;DR

Research Engineer (LLMs): Build and scale systems for training and deploying large language models for multimodal creative tasks, specifically video analysis pipelines, with an accent on efficiency, scalability, and robustness across the full LLM lifecycle. Focus on optimizing training and inference performance, implementing distributed systems for experimentation, and improving latency, throughput, and cost efficiency for complex multimodal inputs.

Location: In-person required at NYC HQ (Union Square)

Salary: $175K – $275K • Offers Equity

Company

AI-native video platform that intelligently orchestrates production and editing through natural language, leveraging contextual awareness to execute creative decisions like a professional editor.

What you will do

• Build pipelines for large-scale LLM training and fine-tuning, optimizing data loaders for high-bandwidth multimodal datasets
• Optimize training and inference performance
• Implement distributed systems for scalable experimentation
• Improve latency, throughput, and cost efficiency for complex multimodal inputs and structured generation
• Support deployment of LLM systems into production environments
• Develop tools for evaluation, monitoring, and iteration

Requirements

• 2+ years of professional industry experience
• Strong experience with large-scale ML systems
• Proficiency in PyTorch, CUDA, Triton, and distributed training
• Experience optimizing LLM training or inference
• Strong systems intuition (memory, compute, throughput tradeoffs)
• Ability to bridge research and production
• Strong software engineering and debugging skills

Culture & Benefits

• Comprehensive medical, dental, and vision plans
• 401K with employer match
• Commuter Benefits
• Catered lunch multiple days per week, dinner stipend, Grubhub subscription
• Health & Wellness Perks
• Multiple team offsites per year with team events every month
• Generous PTO policy