Applied Scientist

As an Applied Scientist at Dialpad, you'll be an integral part of our AI team, conducting R&D to power the next generation of autonomous voice agents and delivering features for transcribed voice and chat message data in the business communications domain.

Responsibilities:

• Develop, implement, and refine state-of-the-art Natural Language Processing and Machine Learning algorithms for Dialpad's products.
• Conduct rigorous evaluation and monitoring of model performances and troubleshoot issues with a keen understanding of the resultant business impacts.
• Manage massive textual data sets.
• Build advanced LLM-based features, including reasoning, multilingual and multimodal processing, and agents.
• Collaborate with cross-functional teams, including engineering, product, and design, to effectively deploy and scale models and algorithms in production.
• Submit papers to top-tier academic conferences and journals and contribute to the broader scientific community by reviewing submissions.

Requirements:

• Master's or PhD degree in Linguistics, Computational Linguistics, Computer Science, Machine Learning, or related fields.
• 2+ years of NLP industry experience for Master's degree holders or 1+ years for PhD degree holders.
• Demonstrated experience with machine learning, Python, PyTorch, and other relevant tools and technologies.
• A broad understanding of current LLM model architectures and techniques for tuning and optimizing LLMs.
• Strong problem-solving and analytical abilities, with the capacity to handle complex technical and analytical problems.
• Excellent communication and collaboration skills to effectively work in a multi-disciplinary team.
• Familiarity with version control tools like Git for collaborative projects.

Benefits:

• Competitive salary, comprehensive benefits, and real opportunities for growth.
• 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.