Data Scientist and Machine Learning Engineer

3 weeks ago


Santa Clara, California, United States SoundHound Full time
About the Role:

We are seeking a highly skilled Data Scientist and Machine Learning Engineer to join our team at SoundHound. As a key member of our engineering team, you will be responsible for developing and implementing advanced machine learning models to drive business growth and improve user experience.

With a huge amount of data from hundreds of millions of users of SoundHound, Hound, and Houndify, we aspire to leverage this data to make informed decisions to steer product development, marketing, and user engagement. This is an opportunity to work on the most challenging data science problems, build large scale distributed machine learning systems from the ground up, and use cutting edge technologies like Spark, Kafka, and Tensorflow.

Responsibilities:

- Develop high-performance, data-driven systems in a distributed infrastructure
- Build machine learning models for analysis of queries using NLP, Deep Learning
- Develop scalable components for query intent classification, entity detection, dialog understanding, slot filling, and domain detection
- Leverage massive datasets for modeling, recommendations, ad targeting, and insight generation
- Build and maintain knowledge graph of content from diverse data sources, and perform data mining to serve high volume of requests

Requirements:

- Background and passion for machine learning, AI, and/or statistical modeling
- Experience in one or more of the following areas: classification systems, ranking systems, recommender systems, predictive modeling, and/or artificial intelligence
- Strong coding experience preferably in Java, Scala, or Python
- A desire to bring data-driven decision-making and analytics to improve our products
- BS/MS in Computer Science or equivalent

Nice to Haves:

- Prior experience with Natural Language Processing
- Understanding of deep learning algorithms and workflows
- Experience with Deep Learning / Neural Network frameworks such as Caffe, Tensorflow, PyTorch, etc.
- Experience with analytical tools supporting data analysis (eg. Tableau)

How to Apply:

Please include a resume and a cover letter letting us know why you'd like to work at SoundHound in particular

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