Job Description
About Vertex Horizon AI:
We are pioneering the next evolution of artificial intelligence, specifically targeting the transformative technologies expected to dominate the year 2026 and beyond. Our mission is to build autonomous agents that redefine human-machine interaction. We are looking for a visionary Senior AI Research Engineer to join our elite team in San Francisco.
Why Join Us?
As a key player in the 2026 niche, you will have the unique opportunity to shape the future of tech. We offer a competitive compensation package, comprehensive health benefits, and a flexible remote-first culture that encourages experimentation and innovation.
The Role:
As a Senior AI Research Engineer, you will be at the forefront of developing next-generation generative models and agentic workflows. You will bridge the gap between theoretical research and scalable production systems, ensuring our solutions are robust, efficient, and future-proof.
Responsibilities
- Architect and implement cutting-edge Generative AI models designed specifically for the 2026 technological landscape.
- Lead research initiatives in Large Language Models (LLMs), Transformers, and Autonomous AI Agents.
- Optimize model inference latency and reduce token generation costs for high-volume enterprise applications.
- Collaborate with cross-functional teams to translate complex research concepts into scalable, production-grade software.
- Conduct rigorous testing and validation of multimodal AI systems (text, image, audio).
- Mentor junior researchers and data scientists on best practices in deep learning and architecture.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 5+ years of experience in research or applied machine learning, with a focus on Deep Learning.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or shipping high-impact AI products.
- Strong understanding of Natural Language Processing (NLP) and Computer Vision fundamentals.
- Experience with distributed training frameworks (Ray, Horovod) and cloud infrastructure (AWS, GCP).