Senior Software Engineer (Applied AI Systems)

Join Dialpad as an Applied Scientist and be a key driver in advancing AI technology for autonomous voice agents. You will focus on real-time, multimodal systems that can listen, reason, and take action during live customer interactions. Your work will involve optimizing DialpadGPT, our proprietary LLM, and collaborating with engineering, design, and product teams to build groundbreaking applications. This position offers a range of benefits, including company stock options, a fully paid medical, dental, and vision plan, and opportunities for continued education and remote work.

• Conduct research and development to advance state-of-the-art algorithms for autonomous voice agents, focusing on real-time speech processing and reasoning loops.
• Design and execute distributed training strategies to optimize proprietary large language models (LLMs) for agentic behaviors, including precise tool use and instruction following.
• Collaborate with engineering, product, and design teams to deploy scalable, low-latency models and algorithms in production, and submit papers to top-tier academic conferences.
• 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
• Master’s or PhD degree in Computer Science, Machine Learning, Computational Linguistics, or a related quantitative field
• Multimodal Awareness: Familiarity with speech technologies (ASR, TTS) or processing real-time audio streams is a strong plus
• 2+ years of industry experience in Machine Learning/NLP for Master’s degree holders, or 1+ years for PhD holders
• Research Track Record: A history of publishing in top-tier conferences (ACL, EMNLP, NeurIPS, ICASSP) is highly valued
• 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