Applied Scientist

• Research and develop state-of-the-art algorithms for autonomous voice agents, specifically focusing on real-time speech processing and reasoning loops
• Advance DialpadGPT: Design and execute distributed training strategies to optimize our proprietary LLMs for agentic behaviors, including precise tool use, instruction following, and latency-constrained generation
• Conduct rigorous evaluation and monitoring of model performances and troubleshoot issues with a keen understanding of resultant business impacts
• Design and implement orchestration layers that effectively chain LLMs with external tools and APIs to solve complex customer problems autonomously
• Work with large-scale multimodal datasets (text, audio) to improve model robustness and alignment
• Collaborate with engineering, product, and design teams to deploy scalable, low-latency models and algorithms in production
• Submit papers to top-tier academic conferences (ACL, EMNLP, NeurIPS) and contribute to the team's research culture

• Master's or PhD degree in Computer Science, Machine Learning, Computational Linguistics, or a related quantitative field
• 2+ years of industry experience in Machine Learning/NLP for Master's degree holders, or 1+ years for PhD holders
• Deep understanding of LLMs: Demonstrated experience with training, fine-tuning (PEFT/LoRA), and alignment techniques (RLHF/DPO) for specific domains or tasks
• Experience with Agentic Systems: Familiarity with building autonomous agents, including concepts like tool use, function calling, reasoning chains (CoT), and memory management
• Strong proficiency in Python and PyTorch, with the ability to write clean, production-ready research code
• Research Track Record: A history of publishing in top-tier conferences (ACL, EMNLP, NeurIPS, ICASSP) is highly valued
• Multimodal Awareness: Familiarity with speech technologies (ASR, TTS) or processing real-time audio streams is a strong plus
• Ability to bridge the gap between research and product, translating complex technical concepts into business value
• Familiarity with version control tools like Git for collaborative projects

Familiarity with speech technologies (ASR, TTS) or processing real-time audio streams is a strong plus

• Work at the center of the AI transformation in business communications
• Build and ship agentic AI products that are redefining how companies operate
• Join a team where AI amplifies every employee's impact
• Competitive salary, comprehensive benefits, and real opportunities for growth