Deep Learning Engineer (Voice)

The company is on a mission to provide customers with more visibility, control, and freedom over their money. With over 70 million customers, we are committed to continuously growing our platform that includes spending, saving, investing, and more. Our team consists of more than 13,000 individuals working globally to redefine success and simplify complex challenges.

As a Deep Learning Engineer at the company, you will be integral to the integration of GenAI and LLMs, building innovative products that range from user-facing tools to advanced process optimization and data understanding solutions. You will collaborate in cross-functional teams, solving complex problems and delivering automated, scalable solutions that impact millions of customers.

What You'll Be Doing:

• Building AI voice products such as voice assistants and AI-powered call center agents.
• Developing real-time, user-facing features utilizing LLMs and deep learning models.
• Delivering scalable, production-grade AI solutions for millions of customers.
• Collaborating with cross-functional teams (Product, Engineering, Data, Ops) to integrate advanced AI.
• Experimenting with and iterating on advanced voice and NLP systems.

What You'll Need:

• Production experience in deep learning related to natural language processing and voice technologies.
• A bachelor's degree in a STEM field (mathematics, computer science, or engineering).
• Strong knowledge of data science tools (Python, SQL).
• A deep understanding of probability and statistics fundamentals.
• Excellent communication and collaboration skills.

Nice to Have:

• A master's or PhD in a quantitative discipline.
• Proficiency in additional programming languages such as Java, Scala, or C++.
• Experience working at a large tech company valued over $15 billion.
• Participation in School/university Olympiad medal competitions in physics, mathematics, economics, or programming.

Language Requirements:
[Not specified]

The company values diversity and is committed to creating an inclusive workplace. We encourage applications from candidates with a variety of backgrounds and experiences.