Job Description
We are looking for a visionary AI Research Lead to architect the next generation of generative AI systems. In 2026, the boundary between human creativity and machine intelligence will vanish. We are building the platform that defines this future.
As a key architect, you will lead a high-performance team of researchers and engineers to develop state-of-the-art Large Language Models (LLMs) and multimodal reasoning engines. If you are obsessed with pushing the boundaries of what's possible with Transformer architectures and want to build the intelligence that powers the world of tomorrow, we want to talk to you.
Why Join Us?
- Work on cutting-edge LLMs and autonomous agents.
- Competitive equity package and top-tier compensation.
- Flexible remote-first culture with a focus on deep work.
Responsibilities
- Lead the research and development of scalable generative AI models, focusing on reasoning, coding, and multimodal understanding.
- Design and implement novel training pipelines and optimization strategies to improve model efficiency and reduce inference costs.
- Mentor and guide a team of talented data scientists and ML engineers, fostering a culture of innovation and scientific rigor.
- Collaborate with product teams to translate advanced research into practical, high-impact consumer and enterprise applications.
- Stay at the forefront of academic and industry research, publishing papers and contributing to open-source communities.
- Establish best practices for data curation, model evaluation, and safety alignment in AI systems.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Machine Learning or Artificial Intelligence.
- 7+ years of experience in deep learning, NLP, or Computer Vision, with at least 3 years in a leadership or senior research role.
- Extensive experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Strong publication record in top-tier conferences (NeurIPS, ICML, ICLR, ACL) is highly preferred.
- Proven track record of shipping production-grade AI products or models.
- Deep understanding of transformer architectures, RLHF, and prompt engineering methodologies.