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Machine Learning Researcher - Audio

blandSan Francisco
On-site Full-time

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Experience Level

Entry Level

Qualifications

Ideal candidates will possess a strong foundation in machine learning principles, with a focus on audio applications. Proficiency in programming languages such as Python or C++. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Strong analytical skills and the ability to work collaboratively in a fast-paced environment. A Master's or Ph. D. in Computer Science, Electrical Engineering, or a related field is highly desirable.

About the job

bland is looking for a Machine Learning Researcher with a focus on audio. This position is based in San Francisco and centers on advancing how machines process and understand sound. The team works on pushing the boundaries of audio technology for a range of platforms.

Responsibilities

  • Research and develop new machine learning techniques for audio applications
  • Contribute to projects that improve audio processing and analysis
  • Collaborate with colleagues to bring research ideas into real-world audio products

Location

This role requires working onsite in San Francisco.

About bland

At bland, we are at the forefront of technological innovation, dedicated to enhancing audio experiences through advanced machine learning algorithms. Our team consists of passionate professionals committed to pushing boundaries and delivering exceptional results.

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