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Audio Machine Learning Intern Jobs in Ohio (NOW HIRING)

BCSN/BCAN Intern

Northwood, OH · On-site

$15.25 - $20.50/hr

Duties include studio camera and audio assistance, show graphics development as well as digital and ... Continuous Learning; Challenges the Status Quo. * Collaborative - Teamwork, Proactive, Knowledge ...

Ai Automation Intern

Columbus, OH · On-site

$13.75 - $18.50/hr

As an Ai Automation Intern, you will assist in the development and implementation of automation ... Basic understanding of AI concepts, machine learning, and automation technologies. * Proficiency in ...

Ai Automation Intern

Franklin, OH · On-site

$13.75 - $18.50/hr

As an Ai Automation Intern, you will assist in the development and implementation of automation ... Basic understanding of AI concepts, machine learning, and automation technologies. * Proficiency in ...

The intern will work closely with engineering and business stakeholders to design, develop, and ... Build and optimize machine learning and Generative AI solutions, including RAG (Retrieval-Augmented ...

The intern will work closely with engineering and business stakeholders to design, develop, and ... Build and optimize machine learning and Generative AI solutions, including RAG (Retrieval-Augmented ...

Computer Vision Engineer

Marysville, OH

$102.40K - $120.80K/yr

Experience with vibration, audio, or current signature analysis for assessing machine condition and performance. * Demonstrated ability to support and apply machine learning and analytical processes ...

Environmental Analyst Intern

Batavia, OH · On-site

$15.50 - $19.75/hr

The intern will be given responsibilities that will assist their learning and experience in ... machining process. Milacron will provide resources and education to teach the intern about the ...

BCSN/BCAN Intern

Northwood, OH

$15.25 - $20.50/hr

Duties include studio camera and audio assistance, show graphics development as well as digital and ... Continuous Learning; Challenges the Status Quo. * Collaborative - Teamwork, Proactive, Knowledge ...

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Audio Machine Learning Intern information

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

[US] Subscriber Success Operations Intern

Benchmark Gensuite

Mason, OH • On-site

$14 - $18.75/hr

Part-time, Internship

This job post has expired today. Applications are no longer accepted.


Job description

Subscriber Success Operations Intern

Innovate with Benchmark Gensuite as a Subscriber Success Operations Intern. Everyone wants to make the world a better place. We work to make it happen. By joining Benchmark Gensuite and exploring careers in the EHS, Sustainability, and ESG Disclosure Reporting space, you'll be helping customers throughout the business community empower informed decision-making, improve employee safety, and lessen their environmental footprint while creating a culture that values diversity, equity, and inclusion. Join us and help make the corporate world better for the planet and better for its employees. Benchmark Gensuite jobs play a crucial role in helping develop our unified EHS, Sustainability, and ESG digital transformation software solutions that enable cross-functional performance excellence, enhance businesses' sustainability efforts, and help them achieve their ESG goals. With our incredible global team, the collaborative spirit of our subscribers and partners, and the continuous innovation in exciting new technologies like Artificial Intelligence, Machine Learning, and IoT, a career at Benchmark Gensuite means you will continuously use and evolve your skills to develop fresh ideas and initiatives.

Benchmark Gensuite Benefits At Benchmark Gensuite, your hard work is rewarded. We offer annual bonus programs, regular team-building events, and off-cycle reviews to promptly recognize and reward excellent performers. With engaging team activities including happy hours and exciting virtual events, we actively encourage our teams to connect and build a strong, supportive, and fun rapport! Our Benchmark Gensuite Team Member Networks, like the Respect for Diversity Group and the Sustainability Group, offer a safe and supportive space, bringing together team members who share a common identity and empowering them to voice their ideas and initiate action. Explore Benchmark Gensuite job openings and come join us as we combine our collective creativity and passion to meet and exceed the expectations of our customers.

Job Overview

We are seeking a highly analytical and detail-oriented Subscriber Success Operations Intern to join our team for a 10–12 week summer internship, with the potential to continue part-time thereafter. This role is ideal for students interested in the intersection of data analytics, customer success strategy, and AI-driven insights within a SaaS environment.

As a Subscriber Success Operations Intern, you will support initiatives that enhance how we monitor customer health, identify risks, and drive proactive engagement across our subscriber base. You will work closely with Customer Success, Account Management, and Operations teams to analyze data, improve processes, and contribute to scalable strategies that drive customer retention and growth.

The ideal candidate has a strong analytical mindset, is comfortable working with data, and is eager to apply emerging technologies—such as AI—to real-world business challenges.

Key Responsibilities

  • Support the development and refinement of customer health scorecards to monitor engagement, satisfaction, and risk signals
  • Analyze customer data to generate actionable account insights and identify trends impacting retention and growth
  • Assist in building and improving reporting dashboards and recurring performance metrics
  • Contribute to AI-driven risk tracking initiatives, helping identify at-risk accounts and recommend proactive actions
  • Help standardize and document customer success processes to improve scalability and consistency
  • Collaborate with cross-functional teams (Customer Success, Product, Operations) to support strategic initiatives
  • Conduct data validation and ensure accuracy and integrity across reporting systems
  • Prepare insights, summaries, and presentations for internal stakeholders

Qualifications

  • Currently pursuing a Bachelor's degree in Data Analytics, Business Analytics, Information Systems, or a related field
  • Strong analytical and problem-solving skills with attention to detail
  • Experience or coursework in data analysis, reporting, or business intelligence tools
  • Familiarity or interest in AI, machine learning, or data-driven decision-making
  • Proficiency in Microsoft Excel (required); experience with tools like Power BI, Tableau, or similar is a plus
  • Strong communication skills, with the ability to translate data into insights
  • Ability to manage multiple tasks and work in a fast-paced environment
  • Interest in SaaS business models and customer success strategy preferred

Internship Details

  • Duration: 10–12 weeks (Summer Internship)
  • Weekly Hours: 25–40 hours per week
  • Potential for part-time continuation following the internship

What You'll Gain

  • Hands-on experience with customer success operations and analytics in a SaaS company
  • Exposure to AI-driven strategies for customer retention and risk management
  • Opportunity to work on real datasets and influence decision-making processes
  • Cross-functional collaboration and mentorship from experienced professionals

Questions about the position? Please contact our HR Team, at jobs@benchmarkdigital.com.