Senior Artificial Intelligence Research Scientist

5 days ago

Bengaluru, Karnataka, India beBeeArtificialIntelligence Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
AI Researcher Job Description

This is an exceptional opportunity to work on cutting-edge AI research and development. Our team is passionate about pushing the boundaries of innovation in the field of artificial intelligence.

Job Overview

We are seeking a highly skilled Applied AI Researcher to join our innovative research team. This role will focus on advancing our AI capabilities through rigorous experimentation, multi-agent systems design, domain-specific scaffolding, and evaluation methodology development.

Key Responsibilities:
  • Design and Implement Novel Multi-Agent Architectures
  • Develop Domain-Specific Scaffolding Techniques
  • Create and Curate High-Quality Datasets
  • Establish Comprehensive Evaluation Frameworks
  • Research and Implement Reinforcement Learning Approaches
  • Develop Techniques for Post-Training Optimization and Domain Adaptation
  • Collaborate with Cross-Functional Teams
  • Stay Current with the Latest Advancements in AI Research
  • Document Methodologies, Findings, and Best Practices
Requirements and Qualifications
  • Advanced degree (MS or PhD) in Computer Science, Machine Learning, AI, or related technical field.
  • 4+ years of experience in applied AI research.
  • Strong mathematical foundations in optimization, probability theory, and linear algebra.
  • Extensive expertise in Python programming and software development.
  • Strong proficiency in PyTorch or JAX for implementing and scaling AI models.
  • Experience in curating datasets, pre-training, and aligning multimodal small language models.
  • Demonstrated experience with various reinforcement learning post-training methods.
  • Experience with prompting methods like Chain of Thought and curating Chain of Thought datasets.
  • Experience training small reasoning models for specific applications.
  • Familiarity with various alignment methods and value learning techniques.
  • Experience with multi-agent systems design and implementation.
  • Knowledge of distributed training on multi-node, multi-GPU clusters.
  • Experience with dataset curation, cleaning, and augmentation for diverse AI tasks.
  • Strong understanding of model evaluation metrics and methodology development.
  • Excellent communication skills and ability to present complex technical concepts clearly.
Benefits
  • Opportunity to work on cutting-edge AI research with real-world impact.
  • Access to substantial computational resources for large-scale experimentation.
  • Collaborative environment with top researchers and engineers.
  • Flexibility to pursue novel research directions within the company's mission.
  • Competitive compensation and benefits package.

Our team is dedicated to shaping the future of intelligent systems and their applications across diverse scientific domains.

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