Lead AI Scientist

We are looking for a Lead AI Scientist to drive the research development and deployment of advanced Artificial Intelligence and Machine Learning solutions across the organization. The role will focus on solving complex business and product problems using modern AI techniques including Generative AI Large Language Models (LLMs) NLP recommendation systems deep learning reinforcement learning and agentic AI.

The ideal candidate combines strong scientific thinking with hands-on engineering capabilities and can take AI ideas from research and experimentation through production deployment and continuous optimization.

In This Role You Will

Design and develop LLM Generative AI RAG NLP recommendation personalization and agentic AI solutions.

Research and evaluate state-of-the-art AI/ML techniques and determine their applicability to business problems.

Develop and fine-tune foundation models domain-specific models embedding models and task-specific models.

Design training fine-tuning evaluation and inference pipelines for AI models.

Apply techniques such as transformer architectures LLM fine-tuning RAG embeddings vector search deep learning reinforcement learning contextual bandits and information retrieval.

Develop experimentation frameworks and establish metrics for model quality relevance accuracy robustness latency and cost.

Investigate model behavior through experimentation error analysis ablation studies and statistical analysis.

Build prototypes and proof-of-concepts and transition successful approaches into production systems.

Collaborate with Software Engineering Product Data Engineering and Platform teams to productionize AI solutions.

Optimize models and AI systems for accuracy scalability latency memory and inference cost.

Design and implement model evaluation frameworks including automated human and LLM-based evaluation.

Stay current with advances in AI research and translate relevant research into practical solutions.

Publish internal research technical documentation patents or external research papers where appropriate.

Youve Got What It Takes If You Have

Masters or PhD in Computer Science Artificial Intelligence Machine Learning Statistics Mathematics or a related technical field.

7 years of experience in AI/ML Data Science or a closely related understanding of machine learning and deep learning fundamentals.

Strong hands-on experience with Python and modern ML frameworks such as PyTorch or TensorFlow.

Experience developing and deploying machine learning models at scale.

Strong experience with one or more of Generative AI/LLMs NLP recommendation systems information retrieval deep learning reinforcement learning or computer vision.

Experience with transformer architectures and modern foundation models.

Experience with model fine-tuning embeddings vector databases RAG and LLM evaluation.

Strong understanding of experimentation statistical modeling model evaluation and hypothesis testing.

Experience working with large-scale datasets and distributed computing frameworks such as Spark.

Strong analytical communication and problem-solving skills.

Extra Dose of Awesome If You Have

Experience with foundation models such as Llama Mistral Gemini or comparable models.

Experience with Hugging Face LangChain/LangGraph FAISS Milvus Weaviate or similar AI technologies.

Experience with model optimization techniques such as quantization distillation pruning and parameter-efficient fine-tuning (PEFT/LoRA).

Experience designing production-grade AI platforms and services.

Experience with Docker Kubernetes cloud AI/ML platforms and MLOps.

Experience with MLflow or similar experiment and model management platforms.

Experience with AI evaluation frameworks and LLM-as-a-Judge approaches.

Research publications patents or contributions to open-source AI projects.

#LI-Onsite

Our Culture:

Spark Greatness. Shatter Boundaries. Share Success. Are you ready Because here right now is where the future of work is happening. Where curious disruptors and change innovators like you are helping communities and customers enable everyone anywhere to learn grow and advance. To be better tomorrow than they are today.

Who We Are:

At Cornerstone we believe in AI that works in the service of people amplifying their judgment to drive high-performing future-ready organizations forward. Cornerstone Workforce AI the intelligence platform for workforce readiness brings together workforce and labor market data into a proprietary Cornerstone People Graph translating signals into intelligence targeting learning where it matters developing critical skills and surfacing hidden talent. Delivered as an open enterprise platform across whatever application your people work in every day Cornerstone Workforce AI is built for scale security and trust with certified AI guardrails. As an industry leader Cornerstone is helping approximately 7000 organizations 140M users across 186 countries build continuous workforce readiness.

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Required Experience:

IC