Shure Incorporated

Staff Engineer, Applied Research Science

Shure Incorporated

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $127,000 - $203,000 per year

Job Level

JuniorMid-Level

Tech Stack

AWSDockeriOSNumpyPythonPyTorchRubyScikit-LearnTensorflow

About the role

  • Develop advanced AI/ML algorithms and signal processing solutions for Shure products
  • Collaborate with software engineers, data scientists, signal processing experts, and test engineers to design and integrate algorithms
  • Design custom machine learning models and algorithms for audio functionality (speech/music enhancement, audio classification) within latency/computation constraints
  • Transform and optimize models for implementation and work with software engineers on features, frame rates, model structures
  • Measure and fine-tune model/algorithm performance and conduct subjective listening tests
  • Identify and collect relevant data for training/test datasets, including purchasing/licensing data and in-house collection
  • Utilize ML and advanced DSP to handle real-time, low latency data pipelines and right-size solutions
  • Survey literature, conduct research and experiments, share findings and prototypes
  • Record findings and documentation; contribute to intellectual property and brainstorming
  • Mentor and coach less experienced engineers
  • Adopt mature ML software engineering practices (shared toolkits, repos, experiment tracking)
  • Track industry/academia progress, attend conferences, and participate in working groups

Requirements

  • Bachelor’s degree in electrical engineering, computer science, mathematics, statistic, physics, data science, machine learning or related field; with minimum 8 years of related experience
  • Master’s degree in the same fields; with minimum 6 years of related experience
  • PhD in the same fields; with minimum 3 years of related experience
  • Proficiency in Python required
  • Proficiency in C/C++ or Matlab preferred
  • Proficiency with frameworks: PyTorch, Tensorflow, scikit-learn
  • Proficiency with libraries: NumPy, Matplotlib
  • Proficiency in tools: Git/GitHub, Docker, Jupyter, AWS, OnPrem GPU training tools
  • Knowledge or experience with classical Digital Signal Processing (preferred)
  • Proficiency in developing low latency, embedded-friendly solutions (preferred)
  • Experience in Audio engineering, DAWs, recording, or other audio production (preferred)
  • Applicants must be currently authorized to work in the United States on a full-time basis
  • 1 year of college is equivalent to 2 years of experience (education/experience equivalency noted)