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Deep Learning Research Intern - Audio AI

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Bosch

Feb 21

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
  • Sunnyvale

Requirements

  • Required:
  • Currently enrolled as PhD student in Computer Science, Electrical Engineering, Data Science, or related fields.
  • 2+ years programming experience, proficiency in PyTorch(Lightning), HuggingFace(transformers, diffusers), hydra.
  • Broad knowledge of machine- and deep-learning algorithms and principles and state-of-the-art methods.
  • Preferred:
  • Knowledge of digital signal processing principle and methods (multi-channel audio processing, DFT, filter-banks).
  • Publication record in top machine learning and audio analytics venues (e.g., ICASSP, Interspeech, AAAI, ICML).
  • Experience with HPC platforms and job managers (Slurm, IBM LSF)

Responsibilities

  • Develop state-of-the-art Audio AI solutions using combination of classical signal processing and machine/deep learning-based approaches.
  • Research and develop solutions for audio foundation models, audio reasoning, generative audio, explainable audio AI, few-shot learning for rare sound events, anomaly detection for machine health monitoring, domain adaptation, and multi-modal sensing.
  • Collaborate with others to integrate audio AI modules into the prototype systems.
  • Summarize research findings in high-quality paper and/or patent submissions.

FAQs

What is the main focus of the research for this internship?

The main focus of the research for this internship is on Integrated Human-Machine Intelligence, encompassing various areas such as Big Data Visual Analytics, Explainable AI, Audio AI, NLP, Cloud Robotics, Mixed Reality, and Smart Wearables.

What are some of the application areas for the solutions developed during this internship?

The solutions developed during this internship may be applied in areas such as autonomous driving, car infotainment, driver assistance systems (ADAS), Industry 4.0, Internet of Things (IoT), security systems, smart home and building solutions, healthcare, and robotics.

What specific capabilities will the intern work on during this internship?

The intern will work on designing and developing intelligent audio analytics capabilities, focusing on the intersection of deep learning and audio signal processing.

What kinds of collaboration can the intern expect to be involved in?

The intern can expect to actively collaborate with leading groups in academia and industry to promote research ideas and publish findings in internationally renowned conferences and journals.

Can you name some conferences and journals where research findings may be published?

Research findings may be published in conferences and journals such as ICASSP, Interspeech, AAAI, ICML, and NeurIPS.

What skills or knowledge areas are important for applicants to have for this internship?

Applicants should have a strong understanding of deep learning, audio signal processing, and relevant programming skills. Familiarity with research methodologies and experience in working on audio analytics projects would also be beneficial.

Is this internship part of a larger initiative?

Yes, this internship is part of an ambitious effort to design and develop intelligent audio analytics capabilities aligned with the broader research goals of Integrated Human-Machine Intelligence at Bosch.

What is the expected outcome for interns during this internship?

The expected outcomes for interns include contributing to the development of innovative audio analytics solutions and the opportunity to publish research findings that enhance Bosch's products and technology contributions.

Bosch

Engineering & Construction
Industry
10,001+
Employees
1886
Founded Year

Mission & Purpose

The Bosch Group is a leading global supplier of technology and services. It employs roughly 421,300 associates worldwide (as of December 31, 2022). The company generated sales of 88.2 billion euros in 2022. Its operations are divided into four business sectors: Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. As a leading IoT provider, Bosch offers innovative solutions for smart homes, Industry 4.0, and connected mobility. Bosch is pursuing a vision of mobility that is sustainable, safe, and exciting. It uses its expertise in sensor technology, software, and services, as well as its own IoT cloud, to offer its customers connected, cross-domain solutions from a single source. The Bosch Group’s strategic objective is to facilitate connected living with products and solutions that either contain artificial intelligence (AI) or have been developed or manufactured with its help. Bosch improves quality of life worldwide with products and services that are innovative and spark enthusiasm. In short, Bosch creates technology that is “Invented for life.” The Bosch Group comprises Robert Bosch GmbH and its roughly 470 subsidiary and regional companies in over 60 countries. Including sales and service partners, Bosch’s global manufacturing, engineering, and sales network covers nearly every country in the world. With its more than 400 locations worldwide, the Bosch Group has been carbon neutral since the first quarter of 2020. The basis for the company’s future growth is its innovative strength. At 136 locations across the globe, Bosch employs some 85,500 associates in research and development, of which nearly 44,000 are software engineers.