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Research Engineer

10 hours, 20 minutes ago
India
Full-time
Junior
Research Scientist
Software Development
AWS Azure Deep Learning GCP Generative AI Hugging Face LLM Machine Learning NLP Python PyTorch TensorFlow Transformers
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Weekday helps companies hire engineers who are vouched by other software engineers, enabling passive income for engineers. They offer services like drafting outreach messages, shortlisting candidates, and conducting reference checks. Backed by Y Combin...

Construction & Engineering
11-50
Founded 2020
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Description

  • Research, prototype, and develop AI/ML models and systems for conversational and voice-based applications.
  • Design and build intelligent voice agents that understand user intent, maintain context, and generate natural responses.
  • Work with speech-to-text, text-to-speech, natural language understanding, and large language models to create end-to-end voice experiences.
  • Experiment with model architectures, prompting strategies, configurations, and agentic workflows to improve accuracy, latency, and conversational quality.
  • Develop and evaluate prototypes using Python and modern AI/ML frameworks.
  • Research emerging developments in generative AI, conversational AI, speech AI, multimodal models, and agent architectures.
  • Create evaluation frameworks, benchmarks, and experiments to measure model and voice-agent performance.
  • Analyze model outputs, identify failure modes, and improve robustness, relevance, and response quality.
  • Collaborate with software engineers, product teams, and researchers to move successful experiments into production.
  • Optimize AI/ML pipelines for scalability, inference performance, reliability, and real-time voice interaction.
  • Document research findings, technical approaches, experiments, and results.

Requirements

  • 1–4 years of hands-on experience in AI/ML, machine learning engineering, research engineering, or a related field.
  • Strong programming skills in Python and familiarity with AI/ML development workflows.
  • Solid understanding of machine learning and deep learning concepts, including training, evaluation, optimization, and inference.
  • Hands-on exposure to LLMs, generative AI, NLP, or conversational AI.
  • Strong understanding of voice agent architectures and conversational AI pipelines.
  • Familiarity with speech-to-text, text-to-speech, speech processing, and voice interaction systems.
  • Experience with PyTorch, TensorFlow, Hugging Face, Transformers, or similar technologies.
  • Ability to design experiments, analyze results, troubleshoot model behavior, and iterate rapidly.
  • Strong problem-solving and analytical skills for ambiguous research problems.
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related technical field.
  • Experience building or deploying real-time voice agents is preferred.
  • Knowledge of RAG, vector databases, embeddings, function calling, tool use, and agentic workflows is preferred.
  • Familiarity with speech models, audio processing, diarization, wake-word detection, or speech enhancement is preferred.
  • Experience with APIs and cloud platforms such as AWS, GCP, or Azure is preferred.
  • Knowledge of model serving, inference optimization, quantization, or low-latency AI systems is preferred.
  • Exposure to open-source LLMs and speech models is preferred.

Benefits

  • Salary range of ₹15,00,000–₹25,00,000 per year (INR 15–25 LPA).
  • Full-time role.
  • Location in India.

Interested in this position?

Apply directly on the company website

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