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Shure Incorporated · 2 weeks ago

Engineer II, Applied Research Science

Niles, IL

Full-time

Hybrid

Entry, Mid Level

$90K/yr - $144K/yr

2+ years exp

Shure Incorporated is a leading global manufacturer of audio equipment, known for quality and innovation. The Engineer II, Applied Research Science will develop sophisticated audio solutions using AI/ML techniques while collaborating with cross-functional teams to integrate emerging technologies into Shure’s product ecosystem.

Consumer ElectronicsElectronicsManufacturingProduct DesignWireless

Comp. & Benefits

No H1B

Responsibilities

Work as part of a cross-functional team to create, design & implement cutting-edge audio features and products

Collaborate with colleagues, other engineers, and product managers to identify and document performance metrics and architectural options

Brainstorm with colleagues, stakeholders, and other engineers to identify valuable use cases for Shure customers empowered by AI/ML and optimize and platform solutions

Design custom machine learning models and algorithms targeting audio functionality (single and multi-channel audio processing algorithms, speech enhancement, music enhancement, audio classification, etc.) within latency/computation constraints. Transform and optimize models to support implementation requirements. Work with Software Engineers to identify and optimize input features, frame rates, model structures, and other characteristics that impact algorithmic performance

Measure model/algorithm performance against identified metrics and fine-tune to optimize outcomes. Conduct subjective listening tests to balance results with objective results

Identify and collect relevant data to create robust training and test datasets, including purchase/license opportunities, in-house collected data, and simulation of algorithms within pre-defined audio paths

Exploit machine learning and advanced DSP approaches to address challenges such as processing real-time, low latency data pipelines and right-sizing solutions

Survey literature and conduct original research and experiments to solve problems. Share findings and prototypes with colleagues, senior staff, and executives

Record findings, results, and notes in collaborative documentation tools, either independently or in collaboration with the team

Contribute to intellectual property, participate in brainstorming, and encourage innovation in the group

Utilize in-house annotation tools and/or third-party partners

Adopt mature machine learning software engineering practices (e.g. shared toolkits, repos, experiment tracking)

Track industry/academia progress, attend training/conferences, and integrate advancements into work

Collaborate to solve specific problems, sometimes tangential to your expertise

Qualification

PythonMachine LearningDigital Signal ProcessingC/C++Audio EngineeringPyTorchTensorFlowInnovationCollaborationProblem Solving

Required

Bachelor's degree in electrical engineering, computer science, mathematics, statistic, physics, data science, machine learning or field related to research science; with minimum 2 years of related experience

Master's degree in electrical engineering, computer science, mathematics, statistic, physics, data science, machine learning or field related to research science; with some project

Proficiency in programming languages: Python required; C/C++ or Matlab also preferred

Proficiency in leveraging frameworks and libraries including: PyTorch, Tensorflow, scikit-learn, NumPy, Matplotlib, etc

Proficiency in tools and technologies including: Git/GitHub, Docker, Jupyter, AWS, OnPrem GPU training tools

Applicants for this position must be currently authorized to work in the United States on a full-time basis. Shure will not sponsor applicants for this position for work visas