Ready to be a part of something big? Join our team at SoundHound AI, where AI innovation and real-world impact come together. We unite voice AI, generative AI, and conversational AI to deliver powerful AI solutions that reimagine how people interact with the products and services they rely on. Whether it’s voice-enabling vehicles, streamlining patient journeys, or enhancing customer service, our multilingual, omnichannel AI technology touches the lives of hundreds of millions of people around the world.The newly formed ASR (Automatic Speech Recognition) Scalability team is focused on a simple mission statement, which is to apply our Software Engineering expertise to improve the scalability of our ASR platform, in particular to reduce the time and effort required to onboard new partners and products. In this role, you will lead a team of 2 Software Engineers, and cooperate with the ASR Modelling team, to identify and alleviate key bottlenecks limiting our ability to scale. What You'll Do

• Lead a team of 2 Software Engineers to improve scalability and reliability of our ASR modelling platform and workflows
• Have positive impact both as a Manager and as an individual technical contributor

What You'll Bring

• Required:

• You have experience working as a Technical Lead or Manager for a small team

• You have at least 3+ years experience using Python for critical systems

• You are adept with all aspects of web development, including service-oriented architecture, TypeScript, React, and both relational and non-relational databases

• You have experience preparing system architecture diagrams and phased delivery plans for complex projects

• You are able to balance making positive impact both as an individual technical contributor and by delegating to and supporting other contributors

• You are passionate about taking initiative to identify and alleviate bottlenecks that limit ability to scale

• You are adept at establishing agreements and commitments on proposed system and workflow changes

• Nice-to-Have:

• You have experience working directly with ML Engineers to support efforts related to model deployment, performance benchmarking, and workflow optimization and automation

• You have experience working on software systems or tools that process audio data

• You have experience using Docker and Kubernetes to automate deployments

• You have experience with Airflow for workflow automation

This role requires a hybrid workplace arrangement at our downtown Toronto office. Employees within a 100-kilometer radius of our Toronto office are expected to work from the office on three pre-scheduled “core days” each month to encourage cross-team connection and in-person collaboration.

Compensation includes salary, equity, comprehensive healthcare, paid time off, and other benefits. Our recruiting team will provide a specific salary range based on location and years of experience.By working at SoundHound AI, you will join hundreds of employees across the globe who strive every day to create exceptional AI-powered experiences for customers, employees, and patients.

We are a values-driven company that is supportive of one another, open and honest, undaunted by challenges, nimble and focused, and determined to excel and win. Our mission is to build voice AI for the world and use our global, diverse perspectives to achieve real generational breakthroughs.

SoundHound ensures that individuals with disabilities are provided reasonable accommodations to participate in the interview process, perform essential job functions, and receive other employment benefits.

Learn more about our philosophy, benefits, and culture at https://www.soundhound.com/careers.

To view our job applicant privacy policy, please visit https://static.soundhound.com/corpus/ta/applicantprivacynotice.html.