Interested candidates can share their updated resume on [email protected], [email protected]

Job Title: Intern - R&D; Scientist / Principal AI Researcher

(Neuro-Symbolic & Foundational AGI)

Job Location: Pune (work from office only)

Experience: Engineering Freshers or Mid-to-Senior (Ph.D. / Advanced Post-Graduate preferred

Department: Core Research & Development (R&D;) - Artificial Learning, Machine Learning & Data Science.

Project Internship Duration: 3 to 5 months

JOB DESCRIPTION:

- Core R&D; Architecture: Design, simulate, and implement hybrid Neuro-Symbolic frameworks that integrate deep learning with formal logic, knowledge graphs, and automated reasoning.
- Mathematical Modeling: Apply advanced mathematical concepts to solve fundamental AGI bottlenecks, particularly regarding abstraction, compositionality, and sample efficiency.
- Algorithmic: Develop custom optimization techniques for complex, non-linear, and high-dimensional manifolds.
- Academic Translation: Convert cutting-edge theoretical research from top-tier AI conferences (NeurIPS, ICML, ICLR, IJCAI) into robust, scalable scientific code.
- Peer Leadership: Collaborating with senior architects to map out the long-term foundational AI roadmap for Excellon's product ecosystem.

REQUIRED TECHNICAL FOUNDATIONS:

- Because of the heavy theoretical demands of this role,



candidates must possess a rigorous grasp of the following domains:
- Advanced Mathematics & Statistics: Deep knowledge of probabilistic graphical models, Bayesian inference, stochastic processes, and statistical mechanics.
- Information Geometry: Practical or theoretical understanding of statistical manifolds, Riemannian geometry applied to probability distributions, and Fisher information metrics.
- Non-linear Optimization: Expertise in non-convex optimization, gradient flows on manifolds, constrained optimization, and evolutionary/symbolic optimization methods.
- Formal Logic & Symbolic AI: Familiarity with first-order logic, description logic, knowledge representation, automated theorem proving, or semantic web technologies

QUALIFICATIONS / TECH SKILLS:

- Education: B.Tech, Ph.D., M. Tech, or M.Sc. in Computer Science, Applied Mathematics, Statistics, Physics, Data Science, or highly quantitative Scientific Computing tracks.
- Experience: Proven track record in mathematical modeling, core algorithm design, or deep tech R&D.; Peer-reviewed publications in top-tier journals/conferences are a massive plus.
- Programming Literacy: Exceptional proficiency in Python, C++, Julia, or R, alongside deep scientific computing stacks (e.g., JAX, PyTorch, NumPy, SciPy) optimized for custom gradient tracking and mathematical simulation.

📌 Intern R&D Scientist / Principal AI Researcher_Excellon Software_Pune (Pune)
🏢 Excellon Software
📍 Pune