We are looking for an AI Research Engineer with hands-on experience in Large Language Models (LLMs), Reinforcement Learning with Verifiable Rewards (RLVR), and foundational models. The candidate will be responsible for building, training, fine-tuning, and improving AI models while exploring advanced generative AI techniques.
Key Responsibilities
- Build, train, fine-tune, and continuously improve AI/ML models.
- Develop and implement RLVR environments and reward mechanisms.
- Work with LLMs, foundational models, and advanced generative AI architectures.
- Develop and experiment with autoregressive and diffusion models.
- Implement and optimize deep learning solutions using Python and PyTorch.
- Conduct research, experimentation, and model evaluation to improve performance and efficiency.
Required Skills & Qualifications
- 1–3 years of hands-on experience working with LLMs, RLVR, and foundational models.
- Strong programming skills in Python and PyTorch.
- Practical experience in implementing RLVR environments.
- Strong understanding of autoregressive and diffusion models.
- Knowledge of model training, fine-tuning, evaluation, and optimization.
- Solid problem-solving and research-oriented mindset
📌 AI Research Engineer (Noida)
🏢 AppX (YC S21)
📍 Noida
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