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Weekend Signal Processing Intern Jobs (NOW HIRING)

Mayo Clinic

AI/ML Intern - Radiation Oncology

Rochester, MN · On-site

$15.25 - $19.75/hr

... signal processing and pattern recognition, NLP, scheduling, risk analysis and prevention, outcome ... The Intern will interact with vast amounts of clinical and non-clinical data (external data sources ...

Mayo Clinic

AI/ML Intern - Radiation Oncology

Rochester, MN

$14.75 - $19/hr

... signal processing and pattern recognition, NLP, scheduling, risk analysis and prevention, outcome ... The Intern will interact with vast amounts of clinical and non-clinical data (external data sources ...

Dolby

Acoustic Data Intern (Fall 2026)

San Francisco, CA · On-site

$55 - $62/hr

As an Acoustic Mapping Intern, you will be exposed to the technologies that enabled Dolby Atmos ... Room impulse response analysis and general acoustic signal processing * Data Analytics * * Monte ...

Dolby

Acoustic Data Intern (Fall 2026)

San Francisco, CA · On-site

$55 - $62/hr

As an Acoustic Mapping Intern, you will be exposed to the technologies that enabled Dolby Atmos ... Room impulse response analysis and general acoustic signal processing * Data Analytics * * Monte ...

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Weekend Signal Processing Intern information

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How much do weekend signal processing intern jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for weekend signal processing intern in the United States is $16.69, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.75 per hour, depending on experience, location, and employer.

What is the difference between Weekend Signal Processing Intern vs Weekend Data Analyst?

AspectWeekend Signal Processing InternWeekend Data Analyst
Required CredentialsEnrolled in or recent graduate of Electrical Engineering, Computer Science, or related fieldEnrolled in or recent graduate of Data Science, Statistics, or related field
Work EnvironmentLaboratory or technical setting focused on signal analysis and processingOffice or remote setting analyzing datasets and generating reports
Industry UsageTelecommunications, audio engineering, or electronics companiesFinance, marketing, or tech companies
Common Search/ComparisonYesNo

The Weekend Signal Processing Intern typically focuses on analyzing and processing signals in technical environments, often involving hardware and software tools. In contrast, a Weekend Data Analyst works primarily with datasets, performing statistical analysis and reporting. While both roles require analytical skills, the intern role emphasizes signal-specific knowledge, whereas the data analyst role centers on data interpretation across various industries.

More about Weekend Signal Processing Intern jobs
What cities are hiring for Weekend Signal Processing Intern jobs? Cities with the most Weekend Signal Processing Intern job openings:
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What job categories do people searching Weekend Signal Processing Intern jobs look for? The top searched job categories for Weekend Signal Processing Intern jobs are:
Weekend Signal Processing Intern jobs near you
Infographic showing various Weekend Signal Processing Intern job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 25% Part Time, 4% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $34,721 per year, or $16.7 per hour.

Research Scientist Intern, NMR Analysis Automation

Meta

Redmond, WA • On-site

$7.3K - $12K/mo

Internship

Re-posted 5 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 242 rated software companies

Job description

Meta Reality Labs is seeking a Research Scientist Intern to contribute to cutting-edge materials research in support of the next generation of hardware. Accelerating battery materials discovery requires evaluating large numbers of electrolyte formulations, but analytical characterization remains a manual bottleneck. As an intern, you will build an end-to-end automated NMR analysis pipeline that transforms raw spectrometer data into ML-ready descriptors, reducing expert analysis time from hours to seconds per spectrum while maintaining quantitative accuracy. Your work will directly enable closed-loop, AI-driven electrolyte discovery for next-generation batteries.
Responsibilities
Design and execute data processing pipelines for automated analysis of NMR spectra of liquid non-aqueous battery electrolytes (1H, 7Li, 13C, 19F, 31P nuclei) with a clear, measurable speedup over manual analysis
• Implement signal processing workflows including denoising, automated peak identification and assignment, and constrained deconvolution for overlapping spectral regions in multi-component electrolyte mixtures
• Identify the optimum parameters of the pipeline that balance accuracy and throughput
• Convert NMR spectra into molecular level compositional and structural descriptors (concentrations, chemical structures) to be used for machine learning models
• Build spectral quality assessment modules that flag problematic spectra and unreliable fits
Minimum Qualifications
• Currently pursuing a PhD in analytical chemistry, physical chemistry, chemical engineering, or a related field
• Experience with solution-state NMR spectroscopy - theory, data interpretation, and quantitative analysis
• Proficiency in Python for scientific data processing, including experience with spectral analysis or signal processing
• Experience building automated data processing pipelines or batch analysis workflow
Preferred Qualifications
• Experience with 2D (COSY) NMR and pulse field gradient NMR experiments
• Experience designing experiments and analyzing data to validate hypotheses (e.g., DOE, statistical analysis, reproducibility studies)
• Familiarity with machine learning concepts and feature engineering for predictive models
• Background in electrochemistry or lithium-ion battery materials
• Familiarity with Bruker hardware and software, including raw data formats
• Experience with NMR of battery electrolytes, ionic liquids, or concentrated salt solutions
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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