C++, Apache Hadoop, Aartificial intelligence, Machine learning techniques, TensorFlow, Kubernetes-K8s, CUDA/GPU programming, Algorithms, Kubeflow, OpenCL, Search Relevancy, Natural Language Understanding-NLU
To provide the fastest and most accurate voice assistants on the market, we leverage many deep learning models. As such, we have built a GPU-based Machine Learning platform to facilitate ML training and inference. We are looking for a motivated engineer with experience in distributed systems and Machine Learning workflows to expand and manage the ML platform.
As a member of our Language Modeling team, you have an opportunity to bring many state-of-the-art NLP models to production. We look forward to connecting with you if you’re drawn to this type of work.
In this role you will:
We would love to hear from you if:
We’d be especially excited if you have deployed models with Tensorflow Lite and ML toolkits like kubeflow or TFX. Also, be sure to let us know if you have scaled GPU-based ML training across multiple nodes.
SoundHound Inc. turns sound into understanding and actionable meaning. We believe in enabling humans to interact with the things around them in the same way we interact with each other: by speaking naturally to mobile phones, cars, TVs, music speakers, coffee machines, and every other part of the emerging 'connected' world. Our latest product, Hound, leverages our Speech-to-Meaning technology to showcase a ground-breaking smartphone experience
Toronto, ON, Canada
4-6 year
Los Angeles, CA, USA
2-4 year
Bengaluru, Karnataka, India
4-6 year