SoundHound AI believes that everyone should be able to interact naturally with the products they use, simply by speaking. With a global reach that spans two dozen languages, we create Voice AI products with conversational intelligence for vehicles, restaurant ordering, and more, allowing our clients to extend their brand in new and significant ways.
At SoundHound AI, data and software engineering are two of our most valuable resources. This position is at the crossroads of the two. We aim to utilize our data to make informed decisions that drive product development, marketing, and user engagement to new levels.
Our Data Science and Engineering team already boasts a remarkable portfolio of systems, tools, and applications to support and use our data. However, we've just scratched the surface of the type of advanced analytics and insight generation we want to conduct! This is a chance to work on intriguing data engineering and data science issues, construct large-scale distributed machine learning systems from scratch, and use cutting-edge Big Data technologies such as Spark, Kafka, HBase, and Hive.
This role is available throughout Canada. Employees based in Toronto can work from our downtown Toronto office. The compensation package will include salary, equity (RSUs), holistic healthcare, paid time off, and other benefits.
In this role, you will:
- Design and implement data pipelines for analytics and real-time insights
- Construct Analytics solutions for the Enterprise Voice AI domain involving prolonged audio transcription services for call centers, agent assist, and related use cases
- Utilize massive datasets for modeling, recommendations, and reporting solutions
- Provide technical leadership during cross-functional critical project execution
- Identify, leverage, and successfully propagate opportunities to enhance engineering productivity
- Contribute to building robust scalable user-focused systems and exposing metrics using effective visualization tools like Tableau
We would like to hear from you if:
- You have a Bachelor's degree in Computer Science, and 5-7 years of industry experience, or a Master's degree in Computer Science and 3-5 years of industry experience
- You have experience developing large-scale applications, complex data pipelines, and related projects
- You have strong coding experience, preferably in Python or Java
- You have hands-on experience with large-scale Big Data environments (i.e., Spark, Kafka, Hive, Hadoop)
- You can manage multiple competing priorities in a fast-paced environment
We'd be especially thrilled if you have experience with data modeling, machine learning frameworks (like Spark MLlib), and analytical tools that support data analysis and reporting (like Tableau).
We strive to be a company that is driven by values, supportive of each other, transparent and honest, unfazed by challenges, agile and focused, and determined to excel and win.
At SoundHound AI, diversity, equity, inclusion are fundamental to who we are as a company. With a mission to construct Voice AI for the planet, creating a globally diverse team is crucial to our success.
We deeply care about creating an environment where everyone is supported and can deliver their best work. SoundHound ensures individuals with disabilities are provided reasonable accommodations to participate in the interview process, perform vital job functions, and receive other employment benefits.
Employees enjoy comprehensive healthcare, paid time off, discounted fitness classes, and flexible working hours. Learn more about our philosophy, benefits, and culture at https://soundhound.com/careers/.
To view our job applicant privacy policy, please visit https://static.soundhound.com/corpus/ta/applicantprivacynotice.html.
Come be a part of our growing team and bring your distinct voice to our mission!
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