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AI Research Intern
AI Research Intern
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AI Research Intern

Pooja Jain's profile picture
Posted by Pooja Jain
0.6 - 2 yrs
₹1L - ₹3L / yr
Remote only
Skills
Artificial Intelligence (AI)
Research and development
skill iconMachine Learning (ML)
skill iconPython
TensorFlow
PyTorch

Research Intern 

Position Overview

We are seeking a motivated Research Intern to join our AI research team, focusing on Text-to-Speech (TTS) and Automatic Speech Recognition (ASR) technologies. The intern will play a crucial role in evaluating our proprietary models against industry benchmarks, analyzing competitive voice agent platforms, and contributing to cutting-edge research in speech AI technologies.

Key Responsibilities

Model Evaluation & Benchmarking

  • Conduct comprehensive evaluation of our TTS and ASR models against existing state-of-the-art models
  • Design and implement evaluation metrics and frameworks for speech quality assessment
  • Perform comparative analysis of model performance across different datasets and use cases
  • Generate detailed reports on model strengths, weaknesses, and improvement opportunities

Competitive Analysis

  • Evaluate and compare our voice agent platform with existing solutions (Vapi, Bland AI, and other competitors)
  • Analyze feature sets, performance metrics, and user experience across different voice agent platforms
  • Conduct technical deep-dives into competitive architectures and methodologies
  • Provide strategic recommendations based on competitive landscape analysis

Research & Innovation

  • Monitor and analyze emerging trends in ASR, TTS, and voice AI technologies
  • Research novel approaches to improve ASR and TTS model performance
  • Investigate new architectures, training techniques, and optimization methods
  • Stay current with academic literature and industry developments in speech AI

Model Development & Training

  • Assist in training TTS and ASR models on various datasets
  • Implement and experiment with different model architectures and configurations
  • Perform model fine-tuning for specific use cases and domains
  • Optimize models for different deployment scenarios (edge, cloud, real-time)
  • Conduct data preprocessing and augmentation for training datasets

Documentation & Reporting

  • Maintain detailed documentation of experiments, methodologies, and results
  • Prepare technical reports and presentations for internal stakeholders
  • Contribute to research publications and technical blog posts
  • Create visualization and analysis tools for model performance tracking

Required Qualifications

Education & Experience

  • Currently pursuing or recently completed Bachelor's/Master's degree in Computer Science, Electrical Engineering, Machine Learning, or related field
  • Strong academic background in machine learning, deep learning, and signal processing
  • Previous experience with speech processing, NLP, or audio ML projects (academic or professional)

Technical Skills

  • Programming Languages: Proficiency in Python; experience with PyTorch, TensorFlow
  • Speech AI Frameworks: Experience with libraries like librosa, torchaudio, speechbrain, or similar
  • Machine Learning: Strong understanding of deep learning architectures, training procedures, and evaluation methods
  • Data Processing: Experience with audio data preprocessing, feature extraction, and dataset management
  • Tools & Platforms: Familiarity with Colab or Jupyter notebooks, Git, Docker, and cloud platforms (AWS/GCP/Azure)

Preferred Qualifications

  • Experience with transformer architectures, attention mechanisms, and sequence-to-sequence models
  • Knowledge of speech synthesis techniques (WaveNet, Tacotron, FastSpeech, etc.)
  • Understanding of ASR architectures (Wav2Vec, Whisper, Conformer, etc.)
  • Experience with model optimization techniques (quantization, pruning, distillation)
  • Familiarity with MLOps tools and model deployment pipelines
  • Previous work with voice AI applications or conversational AI systems

Skills & Competencies

Technical Competencies

  • Strong analytical and problem-solving abilities
  • Ability to design and conduct rigorous experiments
  • Experience with statistical analysis and performance metrics
  • Understanding of audio signal processing fundamentals
  • Knowledge of distributed training and large-scale model development

Soft Skills

  • Excellent written and verbal communication skills
  • Ability to work independently and manage multiple projects
  • Strong attention to detail and commitment to reproducible research
  • Collaborative mindset and ability to work in cross-functional teams
  • Curiosity and passion for staying current with AI research trends

What You'll Gain

Learning Opportunities

  • Hands-on experience with state-of-the-art speech AI technologies
  • Exposure to full model development lifecycle from research to deployment
  • Mentorship from experienced AI researchers and engineers
  • Opportunity to contribute to cutting-edge research projects

Professional Development

  • Experience with industry-standard tools and methodologies
  • Opportunity to present research findings to technical and business stakeholders
  • Potential for research publication and conference presentations
  • Networking opportunities within the AI research community
Read more
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About PGAGI

Founded :
2023
Type :
Products & Services
Size :
0-20
Stage :
Bootstrapped

About

N/A

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Shubham Vishwakarma

Full Stack Developer - Averlon
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