Mobius - AI Research Scientist

2 days ago


Hyderabad, Telangana, India Mobius by Gaian Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Description
Key Responsibilities :

  • Design architectures for meta-learning, self-reflective agents, and recursive optimization loops.
  • Build simulation frameworks for I behavior grounded in Bayesian dynamics, attractor theory, and teleo-dynamics.
  • Develop systems that integrate graph rewriting, knowledge representation, and neurosymbolic reasoning.
  • Conduct research on fractal intelligence structures, swarm-based agent coordination, and autopoietic systems.
  • Advance Mobiuss knowledge graph with ontologies supporting logic, agency, and emergent semantics.
  • Integrate I logic into distributed, policy-scoped decision graphs aligned with business and ethical constraints.
  • Publish cutting-edge results and mentor contributors in reflective system design and emergent AI theory.
  • Build scalable simulations of multi-agent, goal-directed, and adaptive ecosystems within the Mobius runtime.

Required Qualifications

  • Proven expertise in :
  • Meta-learning, recursive architectures, and AI safety.
  • Distributed systems, multi-agent environments, and decentralized coordination.
  • Formal and theoretical foundations, including Bayesian modeling, graph theory, and logical inference.
  • Strong implementation skills in Python (required), with additional proficiency in C++, functional or symbolic languages being a plus.
  • Publication record in areas intersecting AI research, complexity science, and/or emergent systems.

Preferred Qualifications

  • Experience with : Neurosymbolic architectures and hybrid AI systems.
  • Fractal modeling, attractor theory, and complex adaptive dynamics.
  • Topos theory, category theory, and logic-based semantics.
  • Knowledge ontologies, OWL/RDF, and semantic reasoners.
  • Autopoiesis, teleo-dynamics, and biologically inspired system design.
  • Swarm intelligence, self-organizing behavior, and emergent coordination.
  • Distributed learning systems : Ray, Spark, MPI, or agent-based simulators.

Technical Proficiency

  • Programming Languages : Python (required), C++, Haskell, Lisp, or Prolog (preferred for symbolic reasoning.
  • Frameworks : PyTorch, TensorFlow.
  • Distributed Systems : Ray, Apache Spark, Dask, Kubernetes.
  • Knowledge Technologies : Neo4j, RDF, OWL, SPARQL.
  • Experiment Management : MLflow, Weights & Biases.
  • GPU and HPC Systems : CUDA, NCCL, Slurm.
  • Formal Modeling Tools : Z3, TLA+, Coq, Isabelle.

Core Research Domains

  • Recursive self-improvement and introspective AI.
  • Graph theory, graph rewriting, and knowledge graphs.
  • Neurosymbolic systems and ontological reasoning.
  • Fractal intelligence and dynamic attractor-based learning.
  • Bayesian reasoning under uncertainty and cognitive dynamics.
  • Swarm intelligence and decentralized consensus modeling.
  • Topos theory and abstract structure of logic spaces.
  • Autopoietic, self-sustaining system architectures.
  • Teleo-dynamics and goal-driven adaptation in complex systems.

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