What You’ll Do

• Fine-tune large language models (LLMs) for child-safe interactions

• Train LLMs on proprietary multimodal datasets, including  voice/text transcripts, behavioral cues and developmental content

• Evaluate open-source and proprietary models for performance, safety and scale, across cloud and edge environments

• Prototype and iterate on multi-step conversational behaviors, memory and alignment strategies 

• Implement trustworthy AI practices, including hallucination mitigation, toxicity filtering and age-appropriate guardrails

• Design systems with data security/ privacy by design, ensuring compliance with regulations

• Build production-grade ML pipelines with MLOps best practices: CI/CD, monitoring, versioning and feedback loops

• Collaborate cross-functionally with product, child development experts and design teams

 

What We Are Looking For

• Ability to work independently in a fast-paced, ambiguous early-stage environment

• 5+ years of experience in AI/ML/NLP, with 1+ years focused on LLMs

• Proven track record fine-tuning, training and optimizing LLMs

• Deep understanding of transformer architectures, attention mechanisms and generative models

• Strong Python skills with experience in PyTorch, Hugging Face, TensorFlow, Weights & Biases

• Familiarity with LLM orchestration frameworks ( LangGraph, LangChain, or Haystack)

• Experience with cloud platforms (AWS, GCP, or Azure) and their AI/ML services

• Understanding of privacy-preserving techniques (differential privacy, PII redaction)

• Exposure to alignment techniques (RLHF, prompt tuning) and safety filters

• Comfort with MLOps tooling, containerization (Docker) and orchestration (Kubernetes, Airflow)

• Knowledge of RAG and vector databases (e.g., FAISS, Weaviate)

• Passion for building safe, magical AI experiences for children and families

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Why Join Us

• Help define the future of safe and meaningful AI experiences for children

• Join at ground zero and influence every aspect of the product and technical stack

• Work with a small, passionate and visionary team

• Opportunity for ownership and long-term impact

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Bonus Points For

• Experience building conversational agents or child-facing applications

• Familiarity with speech-to-text, voice synthesis, or multimodal learning

• Understanding of regulatory frameworks (COPPA) and responsible AI principles

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