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Senior Data Scientist - Hybrid

India

Drive frontier research in speech-to-speech and multimodal AI systems to build natural, self-learning, voice-capable AI Workers.

Company details
GoCommotion is a fast-growing startup revolutionizing Customer Experience (CX) with AI Workers — persistent, multimodal agents capable of real-time, contextual conversations across channels. We blend LLMs, voice modeling, and agentic reinforcement to build truly autonomous AI systems.
Website: https://www.gocommotion.com/

Requirements

3+ years of applied or academic experience in speech, multimodal, or LLM research
Bachelor’s or Master’s in Computer Science, AI, or Electrical Engineering
Strong in Python and scientific computing, including JupyterHub environments
Deep understanding of LLMs, transformer architectures, and multimodal embeddings
Experience in speech modeling pipelines: ASR, TTS, speech-to-speech, or audio-language models
Knowledge of turn-taking systems, VAD, prosody modeling, and real-time voice synthesis
Familiarity with self-supervised learning, contrastive learning, and agentic reinforcement (ART)
Skilled in dataset curation, experimental design, and model evaluation
Comfortable with tools like Agno, Pipecat, HuggingFace, and PyTorch
Exposure to LangChain, vector databases, and memory systems for agentic research
Strong written communication and clarity in presenting research insights
High research curiosity, independent ownership, and mission-driven mindset

Currently employed at a product-based organisation

Responsibilities

Research and develop direct speech-to-speech modeling using LLMs and audio encoders/decoders
Model and evaluate conversational turn-taking, latency, and VAD for real-time AI
Explore Agentic Reinforcement Training (ART) and self-learning mechanisms
Design memory-augmented multimodal architectures for context-aware interactions
Create expressive speech generation systems with emotion conditioning and speaker preservation
Contribute to SOTA research in multimodal learning, audio-language alignment, and agentic reasoning
Define long-term AI research roadmap with the Research Director
Collaborate with MLEs on model training and evaluation, while leading dataset and experimentation design

Job Details
Location: Hybrid — Mumbai, Bengaluru, Chennai, India

Interview process