🛠 Tech Stack

💼 About This Role

You'll research and productionalize Large Language Models for multimodal social media content understanding. You will fine-tune, optimize, and deploy LLMs that analyze hundreds of millions of videos and posts across platforms like TikTok and YouTube. This role spans the full lifecycle from research to production-grade serving at scale.

🎯 What You'll Do

• Fine-tune and optimize LLMs for multimodal content understanding.
• Build compound AI systems combining multiple models and modalities.
• Perform inference optimizations balancing quality, latency, and cost.
• Deploy LLMs to production at scale using vLLM, TensorRT LLM, or similar.

📋 Requirements

• 4+ years of professional machine learning or data science experience.
• Hands-on fine-tuning of large language models.
• Experience with LLM inference optimization (KV cache, quantization, vLLM, etc.).
• Track record of taking ML models from research to production at scale.

✨ Nice to Have

• Experience with multimodal models and features.
• Familiarity with distributed systems and GPU-accelerated workloads.
• Experience with Autonomous Coding Agents.

🎁 Benefits & Perks

• 🏖️ Flexible PTO
• 🏥 Medical, dental, and vision insurance with FSA options
• 👶 Paid parental leave
• 💰 401(k) with company match
• 📚 Professional development opportunities

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3On-site interview· 2-3 hours