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Audio Machine Learning Intern Job Opening In Framingham – Now Hiring Mediabistro


Job description

Audio Machine Learning Research Scientist

You know the moment.

It's the first notes of that song you love, the intro to your favorite movie, or simply the sound of someone you love saying hello.

It's in these moments that sound matters most.
At Bose, we believe sound is the most powerful force on earth.

We've dedicated ourselves to improving it for more than 60 years.

And we're passionate down to our bones about making whatever you're listening to a little more magical.
The Engineering team at Bose is a thriving, passionate, deeply skilled team of professionals from a broad range of disciplines and experiences, who share a common goalto create products that provide transformative sound experiences.
The Role

The goal of the Audio Machine Learning Research team is to develop novel AI-powered audio processing algorithms.

The twist is that our algorithms must run in real-time, on physical devices, for applications such as voice pickup, hearing augmentation and ones we haven't even thought of yet.

As part of the team, you will work with experts in machine learning (ML), digital signal processing (DSP), software engineering and psychoacoustics to prototype and implement new algorithms.
Bose has a strong history of combining creative thinking with cutting-edge technology in the audio domain.

We are looking for candidates passionate about machine learning and audio to help us shape the next chapter in the future of Bose!
Responsibilities:
Most of your time will be devoted to prototyping, implementing and evaluating ML algorithms, curating and developing internal resources, and presenting your findings.
You will integrate your novel solutions into existing systems and platforms to showcase new (proof of concept) solutions.
You will be able to contribute to projects, which will be shipped to Bose customers, apply for patents, and/or submit papers to top-tier AI and signal processing conferences (e.g., NeurIPS, ICASSP, Interpeech, etc.).
Education:
Pursuing or recently finished a graduate-level degree in ML, Computer Science, Music Technology or a related field.
Skills:
Practical knowledge of Applied audio ML (TensorFlow/PyTorch, TFLite/ONNX is a plus) and Audio DSP (Python, Matlab and/or C/C++).
Hands-on experience in at least one of the following research topics: Audio source separation, Speech enhancement, Microphone array signal processing, Tiny ML, Generative audio modelling.
Familiarity with methods for spatial sound synthesis and/or room acoustics simulation/analysis is a plus.
Strong communication skills.

You will be presenting your work to a large interdisciplinary community.
Bose is an equal opportunity employer.

We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status, or any other legally protected characteristics.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Audio Machine Potential: Insight & Career Growth Guide


Real-time Audio Machine Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Audio Machine in Framingham, United States, highlighting market share and opportunities for professionals in Audio Machine roles.

10351 Jobs in United States
10351
6 Jobs in Framingham
6
Download Audio Machine Jobs Trends in Framingham and United States

Are You Looking for Audio Machine Learning Intern Job?

Great news! is currently hiring and seeking a Audio Machine Learning Intern to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Mediabistro adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Audio Machine Learning Intern Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Framingham. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Audio Machine Learning Intern?

Key qualifications for Audio Machine Learning Intern typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Audio Machine Learning Intern Job Success

Mediabistro interview tips for Audio Machine Learning Intern

Here are some tips to help you prepare for and ace your Audio Machine Learning Intern job interview:

Before the Interview:

Research: Learn about the Mediabistro's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Audio Machine Learning Intern interview at Mediabistro, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Mediabistro's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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