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Urgent! Audio Machine Learning Intern Job Opening In Framingham – Now Hiring Mediabistro
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.
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Unlock Your Audio Machine Potential: Insight & Career Growth Guide
Real-time Audio Machine Jobs Trends in Framingham, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Audio Machine in Framingham, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 10351 jobs in United States and 6 jobs in Framingham. This comprehensive analysis highlights market share and opportunities for professionals in Audio Machine roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Mediabistro is currently hiring and seeking a Audio Machine Learning Intern to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Audio Machine Learning Intern Jobs Framingham.
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:The average salary range for a Audio Machine Learning Intern Jobs United States 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.
Key qualifications for Audio Machine Learning Intern typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview: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.
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