What You’ll Do

• Understand the latest advances in deep learning and speech analytics, with a particular eye towards their implications and applications within our products.
• Develop new, or maturing existing, models for speech analytics.
• Analyze new datasets for untapped potential.
• Deploy new models to production.
• Configure systems (software, hardware, network, etc.) for optimal machine learning performance, and deploy massively scaled, multi-node training jobs.
• Brainstorm and collaborate with other members of the research team to define new research initiatives.

You’ll Love This Role If You

• Enjoy developing state-of-the-art tools for correcting, improving, and enhancing ASR performance and NLU features using a variety of deep learning techniques.
• Want to see your curiosity and enthusiasm for your research cascade into the work of your peers. 
• Respond to new challenges by taking initiative, making a plan, following the data, and communicating your results to the team for feedback.
• Remain steadfastly results-driven in the face of ambiguous problems and uncertain outcomes.

It’s Important To Us That You Have

• 5+ years of experience in Machine Learning research, particularly deep learning, with a solid understanding toward the applications and implications of different neural network types, architectures, and loss mechanisms.
• Familiarity with one or more of the popular deep learning frameworks: PyTorch, TensorFlow, Keras, etc.
• Experience coding in Python
• Familiarity navigating UNIX-style systems.
• Ability to make data-driven decisions (including plots/visualizations) in order to rapidly iterate on model prototypes.

It Would Be Great if You Had

• Knowledge of C, C++, and/or Rust.
• Published papers in Deep Learning Research, particularly with neural networks