Research Engineer – Applied Generative AI (Bengaluru)

Research Engineer – Applied Generative AI (Bengaluru)

15 Oct
|
Pocket FM
|
Bengaluru

15 Oct

Pocket FM

Bengaluru

Pocket FM is where audio storytelling comes to life, powered by cutting-edge AI. With a global community of over 280 million listeners, we are building the world's largest platform for immersive audio series.

Our Generative AI team is pushing the boundaries of large language models, reinforcement learning, and multimodal AI to transform how stories are created, adapted, and experienced globally.

We're looking for Research Engineers who don't just experiment with AI but train models, develop recent capabilities, and turn research breakthroughs into real-world products.

The Role: What You'll Build and Own

As a Research Engineer, you'll work on challenging problems in foundation model training, reinforcement learning, and post-training, developing AI systems that power next-generation storytelling experiences.
• Train & Adapt Foundation Models: Design and execute large-scale model training and fine-tuning pipelines for LLMs such as Llama, Qwen, and Mistral. Work across data preparation, supervised fine-tuning (SFT), optimization, distributed training, and model evaluation




• Advance Reinforcement Learning & Post-Training: Develop and implement reinforcement learning and preference optimization techniques, including RLHF, PPO, GRPO, DPO, and reward modeling, to improve model reasoning, instruction following, controllability, and generation quality
• Build Novel LLM Capabilities: Experiment with model architectures, training strategies, and post-training methodologies to improve long-context understanding, narrative consistency, creative generation, and multilingual capabilities
• Develop Multimodal AI Systems: Research and build models that work across text, speech, audio, and vision, enabling immersive storytelling, content understanding, and generation
• Design Agentic AI Systems: Develop intelligent workflows involving planning, reasoning, tool use, memory, and multi-agent collaboration. Explore reinforcement learning approaches to improve agent performance on comple

📌 Research Engineer – Applied Generative AI (Bengaluru)
🏢 Pocket FM
📍 Bengaluru

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