Job Description
NextGen Horizon is pioneering the Year 2026 Initiative, a massive leap forward in artificial intelligence infrastructure. We are seeking a visionary Senior AI Research Engineer to lead our research team in developing scalable, secure, and high-performance neural networks.
In this role, you won't just be writing code; you will be architecting the future of machine learning, ensuring our solutions remain ahead of the curve by the target year of 2026. If you are passionate about the intersection of deep learning, distributed systems, and future-tech, we want to hear from you.
Why Join Us?
Be part of a team that defines the roadmap for the next era of AI. We offer a competitive compensation package, equity options, and a flexible remote-first culture in the heart of San Francisco.
Responsibilities
- Lead the architectural design of next-generation Large Language Models (LLMs) for the Year 2026 roadmap.
- Optimize model inference latency and accuracy for real-time applications.
- Conduct cutting-edge research in NLP, Computer Vision, and Reinforcement Learning.
- Implement MLOps pipelines to ensure seamless deployment and monitoring of models.
- Collaborate with product teams to translate complex research into user-facing features.
- Mentor and guide junior engineers and data scientists within the research division.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 5+ years of experience in Deep Learning, specifically with PyTorch or TensorFlow.
- Strong proficiency in Python, C++, and distributed computing frameworks.
- Experience deploying AI models at scale in cloud environments (AWS, GCP, or Azure).
- Proven ability to publish research papers or contribute to open-source ML communities.
- Familiarity with quantum computing concepts is a plus.