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Deep Learning Engineer Intern Jobs in Chicago, IL

MEMS Engineering Intern

Itasca, IL · On-site

$14.50 - $19.50/hr

The MEMS Engineering Intern will be exposed to the design, simulation, test and analysis of MEMS ... Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra ...

They are seeking a highly motivated Machine Learning Engineer to design and implement machine ... Responsibilities : • Design and implement novel machine learning and deep learning models ...

They are seeking a highly motivated Machine Learning Engineer to design and develop innovative ML ... Responsibilities : • Design and implement novel machine learning and deep learning models ...

Use machine learning/ deep learning to enhance and automate processes in Lessen proprietary tools ... Programming Languages: SQL, Python > * Understanding of ETL tools and database architecture

New

Machine Learning Engineer II

Chicago, IL

$100.40K - $137.50K/yr

Use machine learning/ deep learning to enhance and automate processes in Lessen proprietary tools ... Programming Languages: SQL, Python * Understanding of ETL tools and database architecture

New

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ... Design and implement novel machine learning and deep learning models tailored to internal research ...

Machine Learning Engineer II

Chicago, IL

$100.40K - $137.50K/yr

Use machine learning/ deep learning to enhance and automate processes in Lessen proprietary tools ... Programming Languages: SQL, Python * Understanding of ETL tools and database architecture

New

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Deep Learning Engineer Intern information

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How much do deep learning engineer intern jobs pay per hour?

As of May 31, 2026, the average hourly pay for deep learning engineer intern in Chicago, IL is $17.55, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $19.81 per hour, depending on experience, location, and employer.

What is the difference between Deep Learning Engineer Intern vs Machine Learning Engineer Intern?

AspectDeep Learning Engineer InternMachine Learning Engineer Intern
Required CredentialsTypically pursuing or holding a degree in Computer Science, Data Science, or related fields; familiarity with deep learning frameworksSimilar educational background; knowledge of machine learning algorithms and programming skills
Work EnvironmentResearch labs, tech companies, startups focusing on neural networks and AI modelsBroader industry settings including finance, healthcare, and tech, working on various ML models
Employer & Industry UsageUsed in companies developing AI products, autonomous systems, and advanced neural network applicationsApplied across industries for predictive analytics, data modeling, and automation tasks

While both roles involve machine learning concepts, a Deep Learning Engineer Intern specializes in neural networks and deep learning frameworks, whereas a Machine Learning Engineer Intern works on a wider range of algorithms and models across various industries.

What are the most commonly searched types of Deep Learning Engineer jobs in Chicago, IL? The most popular types of Deep Learning Engineer jobs in Chicago, IL are:
MEMS Engineering Intern

MEMS Engineering Intern

Syntiant

Itasca, IL • On-site

$14.50 - $19.50/hr

Temporary

Posted 26 days ago


Job description

Summary Description:

Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for a MEMS Engineering Intern to take on a critical role to enhance our MEMS Team.

The MEMS Engineering Intern will be exposed to the design, simulation, test and analysis of MEMS acoustic transducers for portable consumer electronic devices (cellphone, tablet, wearables, IoT).

Requirements

Specific Duties and Responsibilities:

  • Work closely under the supervision and guidance of experienced engineers and mentors.
  • Specific project would include one or more of the following:
    • Simulate and define noise and water resistance performance space for microphone ingress barrier using FEA and analytical methods.
    • Develop AI-based automation for conversion and combination of raw data measurement files from different sources.
    • Record and analyze the performance of microphone prototypes using acoustic measurements and established characterization techniques.
  • Motivated to learn and explore all areas of acoustic MEMS transducers.

Qualifications, Education, and Experience Required:

  • University student in Physics, Materials, Mechanical or Electrical Engineering.
  • Experience in working with modeling software tools such as PSpice, MATLAB,  ANSYS, COMSOL.
  • Lab experience in electrical characterization.
  • Coursework or past internship experience in semiconductors and MEMS.
  • Basic understanding of acoustic and related measurement parameters such as SNR (signal to noise), THD (total harmonic distortion) and sensitivity a plus.

Benefits

About Syntiant:

Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company's purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world's leading strategic and financial investors including Intel Capital, Microsoft's M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting www.syntiant.com.