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Audio Machine Learning Intern Jobs in Texas (NOW HIRING)

Junior Engineering Intern

Addison, TX ยท On-site

$16.25 - $21/hr

... machine learning, and search technologies, with a focus on applying these concepts in cloud ... The intern program is typically three months; however, this timeframe may vary depending on the ...

Senior Machine Learning Engineer

Austin, TX ยท On-site

$103K - $142K/yr

We are seeking a Senior Machine Learning Engineer to support our Public Sector initiatives focused ... Work with multi-modal AI systems across computer vision, audio, and natural language domains.

AI Intern

San Antonio, TX ยท On-site

$13.50 - $18/hr

We're seeking an AI Intern to support the design, development, and operationalization of Generative AI and machine learning solutions. This internship will focus on building AI-powered applications ...

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Prior experience must include applied AI / Machine Learning , with hands-on exposure to Generative ...

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Prior experience must include applied AI / Machine Learning , with hands-on exposure to Generative ...

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Prior experience must include applied AI / Machine Learning , with hands-on exposure to Generative ...

... and lifelong learning. As we seek to recognize and reflect our audience and communities, we ... Producing audio for shows * Pitching show and story ideas * Greeting and escorting in-studio guests

Copart is looking for a talented and enthusiastic Mobile Developer Intern with knowledge of ... Basic understanding of machine learning concepts, particularly in natural language processing and ...

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Audio Machine Learning Intern information

What does an Audio Machine Learning Intern do?

An Audio Machine Learning Intern assists in developing and improving machine learning models that process and analyze audio data. Their tasks may include data preprocessing, feature extraction, model training, and evaluation for applications like speech recognition, sound classification, or music analysis. Interns often collaborate with engineers and researchers to experiment with new algorithms and optimize audio-based AI systems. This role provides hands-on experience in both audio signal processing and machine learning techniques.

What types of projects can an Audio Machine Learning Intern expect to work on during their internship?

As an Audio Machine Learning Intern, you can expect to be involved in projects such as developing and fine-tuning audio classification models, working on speech recognition algorithms, or improving the accuracy of sound event detection systems. You may also assist with the collection and preprocessing of audio datasets, as well as support model evaluation and optimization. Collaboration with data scientists, audio engineers, and software developers is common, offering a hands-on learning environment and exposure to end-to-end machine learning workflows in the audio domain.

What are the key skills and qualifications needed to thrive as an Audio Machine Learning Intern, and why are they important?

To thrive as an Audio Machine Learning Intern, you need a solid background in signal processing, machine learning fundamentals, and programming skills, often supported by coursework or research in computer science or electrical engineering. Familiarity with Python, TensorFlow or PyTorch, and audio processing libraries like Librosa is typically required. Creativity, problem-solving abilities, and strong collaboration skills help you stand out in this role. These skills are crucial for developing innovative audio solutions, interpreting complex data, and working effectively within research or product teams.

What is the difference between Audio Machine Learning Intern vs Audio Data Analyst?

AspectAudio Machine Learning InternAudio Data Analyst
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fieldsDegree in Data Analysis, Statistics, or related fields; may have certifications in data tools
Work EnvironmentResearch labs, tech companies, or startups focusing on AI and audio techData-driven departments within media, entertainment, or tech companies
Employer & Industry UsageUsed in AI development, research projects, and product innovationUsed for analyzing audio data, improving user experience, and reporting

The Audio Machine Learning Intern focuses on developing models and algorithms for audio data, often in research or development settings. In contrast, the Audio Data Analyst primarily interprets audio data to generate insights and support decision-making. Both roles require familiarity with audio data, but the intern role emphasizes machine learning skills, while the analyst role centers on data analysis and reporting.

What are the most commonly searched types of Audio Machine Learning jobs in Texas? The most popular types of Audio Machine Learning jobs in Texas are:
What cities in Texas are hiring for Audio Machine Learning Intern jobs? Cities in Texas with the most Audio Machine Learning Intern job openings:

Quantitative Research Intern, PhD (Summer 2027)

Optiver

Austin, TX โ€ข On-site, Remote

Other

Posted 12 days ago


Job description

As a Quantitative Research Intern, you'll work alongside researchers, engineers, and traders to tackle some of the most challenging quantitative problems in global financial markets. You'll analyze large-scale datasets, develop predictive models and algorithms, and apply statistical and machine learning techniques to uncover patterns in market behavior. AI-driven research at Optiver is where competitive advantage is built, transforming ideas, models, and insights into trading strategies that operate in live markets.ย ย 

This opportunity is also available in our Chicago office.

What You'll Do:ย 

Led by our dedicated Education team,ย you'llย buildย a strong foundationย in market structure and options theory. This internship follows an apprentice-style learning modelย whereย you'llย work alongside an experienced researcher and contribute to a projectย that'sย aligned with current business needs. Throughout the internship,ย you'llย gain exposure to the AI tools andย technologiesย that support research and development across the business, withย the opportunity to contribute to several key areas:ย 

  • Develop predictive models and machine learning systems to better understand market behavior andย identifyย trading opportunitiesย 
  • Analyze large-scale market and order-flow data to uncover signals, evaluate hypotheses, and improve trading performanceย 
  • Build and test statistical and stochastic models for pricing, forecasting, and risk managementย 
  • Apply modern research techniques, including deep learning and AI-enabled workflows, to accelerate discovery and improve research efficiencyย 

What You'll Get: ย 

You'llย join a culture of collaboration, continuous improvement, and excellence, surrounded by curious thinkers and creative problem-solvers. Together,ย you'llย tackle some of the toughest challenges in the financial markets byย leveragingย cutting-edgeย machine learning research to develop innovative, real-world solutions.ย 

In addition,ย you'llย receive:ย 

  • The opportunity to work alongside best-in-class professionals from over 40 different countriesย 
  • The opportunity to earn a return internship or full-time offer in Chicago, Austin,ย orย New York City based on performanceย ย 
  • Aย highly-competitiveย internship compensation packageย 
  • Optiver-covered flights, living accommodations, and commuting stipendsย ย 
  • Extensive officeย perks, including breakfast, lunch,ย snacks, regular social events, clubs, sporting leagues,ย and moreย 

What To Expect:ย 

As part of our assessment process, you may be invited toย participateย in a multi-day, on-siteย evaluativeย program.ย Through hands-on workshops, technical discussions, and direct exposure to our researchers and traders,ย you'llย gain insight into how research is applied atย Optiverย and how PhD students transition successfully into industry.ย Attendance and successful completion of this program may beย requiredย to receive an internship offer.ย 

Who You Are:ย 

  • Currently enrolled in a PhD program inย Statistics, Computer Science,ย Machine Learning,ย Mathematics,ย or a related STEM field with outstanding academic performanceย 
  • Expectedย graduationย betweenDecemberย 2027ย -ย Juneย 2029ย and available to intern during Summer 2027ย 
  • Open to full-time opportunities upon graduation in 2028ย or 2029ย 
  • Solid foundation in mathematics, probability, and statisticsย 
  • Excellent research, analytical, and modeling skillsย 
  • Experience applying machine learning methods to real-world research problems, such as time-series analysis, prediction, forecasting, pattern recognition, optimization, or decision-makingย 
  • Proficiencyย in any programming languageย 
  • Strong interest in working in a fast-paced, collaborative environmentย 
  • Fluent in English with strong written and verbal communication skillsย 

Who We Are: ย 

Optiver is a leading technology- and research-driven trading firm. Our teams of scientists, engineers, mathematicians, and traders work side by side to develop, test, and scale ideas that shape how we understand and trade global markets. Powered by a global platform built for rapid experimentation and iteration, we combine the scientific rigor of a research institution with the pace of a technology company.ย 

Ourย differences are our edge.ย Optiverย does not discriminateย on the basis ofย race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.ย ย 

Optiverย is supportive of US immigration sponsorshipย for this role.ย 

*Optiver has a global application re-apply policy for our intern and graduate roles. If you have completed an online assessment or interviewed for a quantitative graduate or internship role at any Optiver location in the past 8 months, please note that you are not yet eligible to reapply. We welcome you to re-apply to after the 8-month cool off period.ย