Data Engineering Intern

Jobtailor; Niles (IL); On-site; USD 65,000 - 90,000; Full time

Job summary

Jobtailor is seeking a student engineer to help build and optimize data systems that support cutting-edge audio machine learning research and prototyping. You will contribute to data pipelines, simulate audio datasets, and collaborate with scientists across data science and software teams.

Ideal candidates pursue a degree in CS, Math, or DSP and bring Python experience, PostgreSQL knowledge, and familiarity with AWS.

Qualifications

• Pursuing a Bachelor's or master's degree in computer science, mathematics, digital signal processing, or related field.
• Coursework or experience in data engineering.
• Experience with programming languages such as Python.
• Understanding of relational databases and/or experience with database architectures like PostgreSQL or Snowflake.
• Academic or professional experience in audio-related disciplines such as room acoustics, audio signal processing, microphone and mic array characteristics, psychoacoustics, or music production.
• Some experience with cloud-based services like AWS is a plus.
• Experience with simulating and testing audio systems with mathematical modelling languages such as Python or MATLAB is a plus.
• Creativity and curiosity for future technologies with strong fundamentals.
• Currently authorized to work in the United States on a full-time basis.
• Shure will not sponsor applicants for work visas

Responsibilities

• Engineer software modules that provide data mechanisms to support research and prototyping of forward-leaning use cases in audio machine learning algorithms.
• Work closely with the data science and software engineering teams to help generate new footing for data platforms and pipelines within the current architecture.
• Create, augment, and simulate audio data.
• Participate in the creation and maintenance of scalable data infrastructure.
• Collaborate with research scientists conducting audio machine learning experiments

Skills

Audio Machine Learning Algorithms

Data Engineering

Python Programming

PostgreSQL Database Architecture

Cloud-Based Services (AWS)

Education

Bachelor's or Master's in CS/Math/DSP

Tools

AWS

PostgreSQL

Snowflake

Job description

Engineer software modules that provide data mechanisms to support research and prototyping of forward-leaning use cases in audio machine learning algorithms
Work closely with the data science and software engineering teams to help generate new footing for data platforms and pipelines within the current architecture
Create, augment, and simulate audio data
Participate in the creation and maintenance of scalable data infrastructure
Collaborate with research scientists conducting audio machine learning experiments

Requirements

• In progress of completing a Bachelor's or master's degree in computer science, mathematics, digital signal processing, or related field
• Coursework or experience in data engineering
• Experience with programming languages such as Python
• Understanding of relational databases and/or experience with database architectures like PostgreSQL or Snowflake
• Applicable academic or professional experience in audio-related disciplines such as room acoustics, audio signal processing, microphone and mic array characteristics, psychoacoustics, or music production
• Some experience and understanding of cloud-based services like AWS and related tools is a plus
• Experience with simulating and testing audio systems with mathematical modelling languages such as Python or MATLAB is a plus
• Creativity and curiosity for future technologies while having a strong core of fundamentals
• Currently authorized to work in the United States on a full-time basis
• Shure will not sponsor applicants for work visas

Core Competencies

Demonstrates expertise in audio machine learning algorithms and data engineering, with a strong foundation in programming languages such as Python and experience in database architectures like PostgreSQL. Capable of collaborating with cross-functional teams to develop scalable data infrastructure and simulate audio data for research purposes.

Highest-signal resume keywords

• Audio Machine Learning Algorithms
• Data Engineering
• Python Programming
• PostgreSQL Database Architecture
• Cloud-Based Services (AWS)

Hard Skills

• Audio Signal Processing
• Mathematical Modelling (Python, MATLAB)
• Data Infrastructure Maintenance
• Database Architecture
• Data Simulation

Soft Skills

• Creativity
• Curiosity

Industry Keywords

• Digital Signal Processing
• Room Acoustics
• Microphone Characteristics
• Psychoacoustics
• Music Production

Tools & Technologies

• AWS
• PostgreSQL
• Snowflake