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Audio Machine Learning Research Engineer

A global leader in wireless technology innovation and the development of mobile technologies.
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
2+ years of experience
AI

Description For Audio Machine Learning Research Engineer

Qualcomm India Private Limited is seeking an Audio Machine Learning Research Engineer to join their Advanced Tech R&D team. This role offers an exciting opportunity to work on cutting-edge machine learning applications in audio, video, and natural language processing. The position involves developing innovative solutions for mobile phones, headsets, and IoT devices, working alongside a team of machine learning experts.

The ideal candidate will focus on developing state-of-the-art machine learning algorithms for audio and speech generative models, combining features from multiple modalities, and working closely with commercialization teams to implement solutions on Qualcomm platforms. This role requires expertise in audio and speech generative networks, proficiency with modern machine learning frameworks, and familiarity with recent trends in AI such as diffusion models and transformers.

Qualcomm offers a comprehensive benefits package including world-class health coverage, financial planning support, and wellbeing programs. The company fosters a culture of innovation and professional growth through continuous learning opportunities, tuition reimbursement, and mentorship programs. As a global leader in wireless technology, Qualcomm provides an environment where you can work alongside leading engineering and technology experts, contributing to world-changing innovations.

The position requires a Master's degree in Computer Engineering, Computer Science, or Electrical Engineering, with at least 2 years of relevant R&D experience. The role is based in Hyderabad, India, offering the opportunity to work with cross-disciplinary, globally distributed teams on cutting-edge technology that impacts lives around the globe.

Last updated a day ago

Responsibilities For Audio Machine Learning Research Engineer

  • Develop innovative machine learning algorithms for Audio and speech generative models
  • File papers and patent disclosures
  • Achieve state-of-the-art performance in various audio/NLP applications
  • Combine features from multi-modalities such as video, audio, sensors, and location
  • Work with commercialization teams to transfer and deploy solutions onto Qualcomm platforms and customer devices

Requirements For Audio Machine Learning Research Engineer

Python
  • Master's degree in Computer Engineering / Computer Science / Electrical Engineering
  • R&D experience of audio and speech generative networks
  • Familiarity with recent trends in machine learning (diffusion models, U-Nets, Transformer, BERT, BART, etc.)
  • Proficiency in designing, implementing and training DL algorithms in high-level languages/frameworks
  • Experience working in cross disciplinary, geographically-dispersed teams
  • 2+ years of R&D experience in Computer Vision/image/NLP/multimodal applications

Benefits For Audio Machine Learning Research Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
Education Budget
  • World-class health coverage for employees and dependents
  • Financial planning and future preparation programs
  • Emotional/mental health support
  • Wellbeing programs
  • Tuition reimbursement
  • Mentorship programs

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