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Audio Machine Learning Intern Jobs in Florida (NOW HIRING)

Catalyst Labs, LLC

ML Engineer

Tampa, FL

Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a ... Experience with audio-focused ML projects or similar domains involving unstructured data.

Catalyst Labs, LLC

ML Engineer

Miami, FL

Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a ... Experience with audio-focused ML projects or similar domains involving unstructured data.

Newton CFV Inc

Mechatronic Intern

Sebastian, FL · On-site

$12.50 - $16.75/hr

As a Mechatronic Intern, you'll work closely with our experienced Mechatronic and Design ... edge, data-driven machine that's changing the future of beverage dispense. You'll work with ...

NEWTON CFV INC

Mechatronic Intern

Sebastian, FL · On-site

$12.50 - $16.75/hr

As a Mechatronic Intern, you'll work closely with our experienced Mechatronic and Design ... edge, data-driven machine that's changing the future of beverage dispense. You'll work with ...

NEWTON CFV INC

Mechatronic Intern

Sebastian, FL · On-site

$12.50 - $16.75/hr

As a Mechatronic Intern, you'll work closely with our experienced Mechatronic and Design ... edge, data-driven machine that's changing the future of beverage dispense. You'll work with ...

ConGlobal

Engineering Intern - Corporate

Odessa, FL · On-site

$17/hr

We are seeking a motivated and detail-oriented Engineering & Computer Science Intern to support our ... Exposure to data analysis, machine learning, or cloud platforms is a plus * Interest in product ...

Design Interactive

Internship Opportunities

Orlando, FL · On-site +1

$14 - $18.75/hr

Machine Learning, AR/VR, and forward-thinking talent. * Data Scientists amp; Analysts: Those who ... Why Intern with Us? * Purpose-Driven Work: Contribute to projects that support military readiness ...

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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 Florida? The most popular types of Audio Machine Learning jobs in Florida are:
What are popular job titles related to Audio Machine Learning Intern jobs in Florida? For Audio Machine Learning Intern jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Audio Machine Learning Intern jobs in Florida look for? The top searched job categories for Audio Machine Learning Intern jobs in Florida are:
What cities in Florida are hiring for Audio Machine Learning Intern jobs? Cities in Florida with the most Audio Machine Learning Intern job openings:
Audio Machine Learning Intern jobs near you

ML Engineer

Catalyst Labs, LLC

Tampa, FL

Other

Posted 2 days ago

Job description

ML Engineer

Tampa, Florida, United States Or refer someone

About the Job

Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs.

By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences.

About Us

Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that's deeply embedded in our clients' recruitment operations.

We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems.

Location: New York, NY

Work type: Full Time

Compensation: above market base + bonus + equity

Roles & Responsibilities
  • Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle from conception to deployment and maintenance.
  • Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
  • Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
  • Build agents capable of operating natively on real-world audio inputs.
  • Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
  • Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
  • Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
  • Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • 1-6 years of professional experience in ML engineering.
  • Strong programming skills in Python (TypeScript experience is a plus).
  • Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
  • Familiarity with cloud environments and infrastructure (preferably AWS).
  • Strong understanding of data pipeline design, real-time inference, and model monitoring.
  • Excellent communication skills with the ability to engage directly with customers and stakeholders.
Core Experience
  • Proven experience building and deploying ML models into production environments.
  • Demonstrated ability to own the full model lifecycle from data ingestion and model development to deployment and monitoring.
  • Experience with audio-focused ML projects or similar domains involving unstructured data.
  • Proficiency in building scalable data pipelines for model training and evaluation.
  • Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
  • Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.

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