Job Description
We are seeking a visionary Lead AI Research Engineer to pioneer the Generative AI landscape of 2026. In this pivotal role, you will architect the next generation of Large Language Models (LLMs) and ensure our solutions are scalable, ethical, and transformative.
Why Join Us?
Our mission is to accelerate the adoption of AI by 100x by 2026. You will work with top-tier talent in a high-performance environment to solve the most complex challenges in artificial intelligence.
Responsibilities
- Architect and train state-of-the-art Generative AI models with a focus on scalability and accuracy.
- Lead a cross-functional team of data scientists and ML engineers in pushing the boundaries of current technology.
- Optimize model inference latency and reduce operational costs for large-scale deployments.
- Define the technical roadmap for AI evolution, specifically targeting advancements relevant to the 2026 era.
- Ensure all AI systems adhere to the highest standards of safety, privacy, and regulatory compliance.
- Collaborate with product leadership to translate research breakthroughs into commercial applications.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
- Deep expertise in deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Proven track record of publishing research in top-tier conferences (NeurIPS, ICML, ICLR) or open-source contributions.
- Extensive experience with Natural Language Processing (NLP), Transformers, and Diffusion models.
- Strong background in cloud infrastructure (AWS, GCP, or Azure) for MLOps.
- Excellent communication skills with the ability to explain complex technical concepts to diverse audiences.