Highlights
Join our cutting-edge team working on advanced AI technologies. Ideal for researchers and early-career professionals eager to innovate.
Description
Job Summary
pWe are seeking exceptional AI Research Scientists to join our research team and contribute to the development of next-generation artificial intelligence technologies. This is a research-first role focused on designing novel AI algorithms, architectures, and mathematical frameworks—not simply applying existing models.
Responsibilities
- Conduct advanced research in Machine Learning, Deep Learning, Reinforcement Learning, Generative AI, and Agentic AI.
- Design and develop novel neural network architectures and AI algorithms.
- Build advanced AI models for large-scale spatial-temporal systems and other computationally intensive applications.
- Develop high-performance tensor computation frameworks and optimize AI workloads for GPU acceleration.
- Implement, reproduce, evaluate, and improve state-of-the-art research from leading AI conferences and journals.
- Collaborate with researchers and engineers to translate research into scalable AI systems and products.
Required Skills
- Machine Learning
- Deep Learning
- Reinforcement Learning
- Data Modeling
- TensorFlow Development
Required Skills Explained
- Machine Learning: Understanding and expertise in various machine learning techniques including supervised, unsupervised, and semi-supervised learning.
- Deep Learning: Proficiency in building and training deep neural networks for complex problems such as image recognition, natural language processing, and more.
- Reinforcement Learning: Knowledge of designing agents that can learn from interaction with an environment to maximize a reward.
- Large Language Models (LLMs): Expertise in developing and fine-tuning large-scale models capable of understanding and generating human-like text.
- Generative AI: Skills in creating AI systems that can generate content, such as images, text, or music, based on learned patterns from data.
- Agentic AI: Experience with designing autonomous agents that exhibit intelligent behavior and decision-making processes similar to humans.
- Mathematics: Strong background in linear algebra, tensor algebra, probability & statistics, optimization, and calculus is essential for advanced research.
- Programming & Frameworks: Proficiency in Python (preferably PyTorch), TensorFlow or JAX for implementing and optimizing AI models. Knowledge of scientific computing and GPU programming using CUDA is a plus.
- Research Experience: Preference given to candidates with experience in tensor decomposition, geometric deep learning, high-performance computing, distributed deep learning, and large-scale AI systems.
Who is this for
pThis role is ideal for individuals with a strong mathematical aptitude and analytical thinking, who are passionate about solving challenging AI research problems and developing novel algorithms grounded in mathematics.
Why This Job is a Good Opportunity
ulliContribute to cutting-edge research that shapes the future of artificial intelligence technology.liWork on diverse projects spanning Deep Learning, Reinforcement Learning, LLMs, Agentic AI, Scientific Computing, Tensor Mathematics, and HPC.liPotential for high-impact publications and patents in leading AI conferences.liOpportunity to collaborate with a team of experts and work on innovative products.liCompetitive compensation package that reflects your experience and technical skills.
Interview Preparation Tips
- Review recent advancements in the field of AI, particularly in machine learning, deep learning, reinforcement learning, and generative models.
- Prepare to discuss your research projects or any significant contributions you have made in the past.
- Be ready to explain how your technical skills align with the job requirements, especially in Python, PyTorch, TensorFlow, and CUDA programming.
- Prioritize answering questions about your problem-solving approach and critical thinking abilities.
- Discuss any experience you have with distributed deep learning or high-performance computing.
Career Growth in This Role
pThe career growth potential is immense for AI Research Scientists. You can advance to lead research projects, manage teams of researchers, and eventually transition into more senior roles such as Director of AI Research. The ability to innovate and contribute to groundbreaking research positions you well for leadership opportunities within the company or at other tech giants.pAdditionally, the skills gained in this role are highly valued across various industries, making it easier to pivot towards different sectors if desired. The opportunity to publish impactful research also opens doors to academic roles or consultancy work.
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Skills
Frequently Asked Questions
What kind of projects will I work on?You'll work on projects including Deep Learning, Reinforcement Learning, Large Language Models (LLMs), Agentic AI, and more.
What are the key qualifications for this role?Candidates should have a strong academic background in Computer Science or related fields from premier institutions.
Is there any flexibility with the location?The position is based in Bangalore, but remote work options may be available.
