Shure Incorporated

Engineer II, Applied Research Science

Shure Incorporated

full-time

Posted on:

Origin:  • 🇺🇸 United States • Illinois

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Salary

💰 $90,000 - $144,000 per year

Job Level

JuniorMid-Level

Tech Stack

AWSDockeriOSNumpyPythonPyTorchRubyScikit-LearnTensorflow

About the role

  • Work as part of a cross-functional team to create, design & implement cutting-edge audio features and products
  • Collaborate with engineers, software, signal processing, data science, testing teams, and product managers to define metrics and architectures
  • Brainstorm and identify valuable AI/ML use cases for Shure customers and optimize platform solutions
  • Design custom machine learning models and algorithms for single/multi-channel audio processing (speech enhancement, music enhancement, audio classification) within latency/computation constraints
  • Transform and optimize models to meet implementation requirements and work with Software Engineers on features/frame rates/model structures
  • Measure model/algorithm performance, fine-tune outcomes, and conduct subjective listening tests
  • Identify and collect relevant data (purchase/license, in-house, simulation) to build training and test datasets
  • Exploit ML and advanced DSP approaches to handle real-time, low-latency data pipelines and right-size solutions
  • Survey literature, conduct original research and experiments, and share findings and prototypes with team and executives
  • Record findings in collaborative documentation tools and contribute to intellectual property and brainstorming
  • Utilize in-house annotation tools and/or third-party partners and adopt mature ML software engineering practices
  • Track industry/academia progress, attend trainings/conferences, and integrate advancements into work

Requirements

  • Bachelor’s degree in electrical engineering, computer science, mathematics, statistics, physics, data science, machine learning or related field; with minimum 2 years of related experience
  • Master’s degree in related field (preferred)
  • (1 year of college is equivalent to 2 years experience)
  • Proficiency in Python (required)
  • Proficiency in C/C++ or Matlab (preferred)
  • Experience with PyTorch, TensorFlow, scikit-learn, NumPy, Matplotlib
  • Experience with Git/GitHub, Docker, Jupyter, AWS, OnPrem GPU training tools
  • Knowledge or experience with classical Digital Signal Processing (preferred)
  • Experience developing low latency, embedded-friendly solutions (preferred)
  • Experience in audio engineering, DAWs, recording, or audio production (preferred)
  • Ability to identify and collect training/test datasets and use annotation tools or third-party partners
  • Experience conducting subjective listening tests and measuring model/algorithm performance
  • Strong collaboration and documentation skills
  • Applicants must be currently authorized to work in the United States on a full-time basis; Shure will not sponsor work visas