Applied Scientist

Dialpad · Kitchener, Canadamid

En corto

▸Científico aplicado que desarrolla IA para agentes de voz autónomos en tiempo real.
▸Trabajas en modelos de recuperación de conocimiento y razonamiento multimodal para soporte y ventas.
▸Destacado: tu trabajo impacta directamente en experiencias de cliente en tiempo real con IA que actúa durante llamadas.

Fluency in English is required, both written and verbal.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

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¿Qué piden?

✓Licenciatura en CI, matemáticas, estadística o campo relacionado.
✓Experiencia en NLP, modelos de lenguaje o aprendizaje profundo.
✓Conocimiento del dominio de voz o comunicación empresarial.
✓Habilidades sólidas en Python y frameworks de ML.
✓Capacidad de colaborar con ingenieros, diseñadores y productos.
✓Proyecto o experiencia previa en investigación o desarrollo de IA aplicada.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonPyTorchTensorFlowHugging FaceTransformer modelsSpeech recognitionText-to-speechReal-time inferenceKnowledge retrievalMulti-modal models

¿A quién escribirle en Dialpad?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role 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. We have several research themes, including developing multi-modal, real-time agentic systems that can listen, reason, and take action during live customer interactions. We are also developing real-time knowledge retrieval models to power live coaching features for customer support and sales agents. Beyond the technical skills, we are a team that values collaboration, continuous learning, and the application of diverse perspectives to solve complex problems. Collaboration will be key as you work alongside our engineering, design, and product teams to build groundbreaking applications. If you're passionate about language, AI, and contributing to a team that's changing the face of business communications, you'll find yourself right at home with us. This position reports to the Manager of the NLP team and has the opportunity to be based in our Kitchener, ON, office. What you’ll do <li style="font-family: helvetica, arial, sa

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