Applied Scientist

📋 Description

• Research and develop autonomous voice agents for real-time speech processing.
• Design and train distributed LLMs to enable agentic behavior and tool use.
• Evaluate model performance and monitor issues with business impact in mind.
• Build orchestration layers to chain LLMs with tools and APIs.
• Work with multimodal data (text and audio) to improve robustness and alignment.
• Collaborate across teams to deploy low-latency models in production.

🎯 Requirements

• Master’s or PhD in CS, ML, Computational Linguistics, or related field.
• 2+ years ML/NLP for Master’s holders; 1+ year for PhD.
• Deep understanding of LLMs: training, fine-tuning (PEFT/LoRA), RLHF/DPO.
• Experience with Agentic Systems: autonomous agents, tool use, reasoning chains.
• Python and PyTorch proficiency; production-ready code.
• Research track record: publications in ACL/EMNLP/NeurIPS/ICASSP.
• Multimodal awareness: ASR/TTS or real-time audio processing.
• Bridge research and product to business value; Git familiarity.

🎁 Benefits

• Competitive salary and comprehensive benefits.
• Real opportunities for growth.
• Great Place to Work certified.
• Robust training and AI tools.
• Inclusive, collaborative offices.