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Audio Machine Learning Intern Jobs in Buffalo, NY

Lactalis USA

Sensory Science Intern

Buffalo, NY

$19 - $21/hr

From your PASSION to oursLactalis USA, part of the Lactalis family of companies, is currently hiring a Sensory Science Intern based in Buffalo, NY.If you?re looking for a unique internship experience ...

Linde

R&D Intern - Summer 2027

Tonawanda, NY · On-site

$14.25 - $19/hr

In the role of R&D Intern, you will be partof a team involved with research, planning, designing ... Machinery Development (compressors, turbines, pumps) * Materials Development (catalysts, adsorbents ...

Linde Group

R&D Intern - Summer 2027

Tonawanda, NY · On-site

$14.25 - $19/hr

In the role of R&D Intern, you will be partof a team involved with research, planning, designing ... Machinery Development (compressors, turbines, pumps) * Materials Development (catalysts, adsorbents ...

Linde plc

R&D Intern - Summer 2027

Tonawanda, NY · On-site

$37 - $39/hr

R&D Intern- Summer 2027 Linde Inc. Tonawanda, NY or Burr Ridge, IL, United States | req32161 In the ... Machinery Development (compressors, turbines, pumps) * Materials Development (catalysts, adsorbents ...

New

Linde Plc

R&D Intern - Summer 2027

Tonawanda, NY · On-site

$37 - $39/hr

R&D Intern- Summer 2027 Linde Inc. Tonawanda, NY or Burr Ridge, IL, United States | req32161 In the ... Machinery Development (compressors, turbines, pumps) * Materials Development (catalysts, adsorbents ...

New

American Emergency Vehicles

Intern

Hamburg, NY

$14.25 - $18.75/hr

E-ONE is part of Terex Corporation, a global designer and manufacturer of specialized vehicles and equipment, including fire and emergency vehicles, waste and recycling equipment, RV's, and machinery ...

All JobsAudio Machine Learning Intern JobsAudio Machine Learning Intern Jobs in Buffalo, NY

Audio Machine Learning Intern information

See Buffalo, NY salary details

$24.7K

$41.2K

$85.2K

How much do audio machine learning intern jobs pay per year?

As of Aug 7, 2026, the average yearly pay for audio machine learning intern in Buffalo, NY is $41,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,500.00 and $44,600.00 per year, depending on experience, location, and employer.

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 Buffalo, NY? The most popular types of Audio Machine Learning jobs in Buffalo, NY are:
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What job categories do people searching Audio Machine Learning Intern jobs in Buffalo, NY look for? The top searched job categories for Audio Machine Learning Intern jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Audio Machine Learning Intern jobs? Cities near Buffalo, NY with the most Audio Machine Learning Intern job openings:
Audio Machine Learning Intern jobs near you
Infographic showing various Audio Machine Learning Intern job openings in Buffalo, NY as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,249 per year, or $19.8 per hour.

Machine Learning Intern/Co-op (Fall 2026)

PathAI

Boston, NY • On-site, Remote

Internship

Re-posted yesterday

Job description

Who We Are
PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials. Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes.
Where You Fit
Our Intern/Co-op program is designed to give you a real-world view of what it's like to be a Machine Learning Engineer at PathAI. You will be embedded directly into our AI product and ML Core teams, working on active projects that have a direct impact on our technical roadmap and business goals.
You will collaborate with a cross-functional team of scientists, engineers, and product managers to translate clinical needs into scalable ML solutions. This is your chance to contribute to meaningful work that directly relates to patient outcomes.
Timeline: This opportunity is for Fall 2026. We are looking for interns/co-ops who can commit to 3-6 months at PathAI (4-6 months preferred).
Location: We have offices in Boston, MA and New York, NY and would prefer interns/co-ops who can work from one of those locations-however, we will also consider remote candidates (US based only).
What You'll Do
  • Contribute to the design, development, and evaluation of machine learning models for our AI products, AI services and core ML models.
  • Work on subprojects derived from our ongoing ML product roadmap, focusing on areas like model improvements with novel techniques.
  • Partner with our MLOps and platform teams to help build and improve our ML pipelines.
  • Participate in experimental design, analysis, and team knowledge-sharing initiatives like design reviews, technical forums and journal clubs.
What You Bring
  • Currently pursuing a M.S., or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering with a focus on Computer Vision and Machine Learning.
  • Strong programming skills in Python and hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow).
  • A solid grasp of the fundamentals of machine learning and/or computer vision.
  • Excellent communication skills and a desire to work in a highly collaborative, cross-functional environment.
  • A passion for our mission to improve patient outcomes.
  • [Nice-to-have] Any high impact contributions through any AI/ML publications, open-source projects and any AI based products.

We are looking for team players who are passionate about what they do and are willing to tackle any task to contribute to our goals. You could be exactly who we are looking for!
We Want To Hear From You
At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.
PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications - that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.

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