Job Description
Are you ready to shape the future of Artificial Intelligence? FutureScale Technologies is seeking a visionary Senior AI Research Engineer to join our elite team in San Francisco. We are building the infrastructure for 2026 and beyond, focusing on next-generation generative models and autonomous systems.
In this pivotal role, you will not just use existing tools; you will help invent the future of neural architecture. You will work on high-impact projects that define the next era of intelligent software, collaborating with world-class engineers and researchers.
Responsibilities
- Architect and Deploy: Design and implement state-of-the-art deep learning models for large-scale applications.
- Research & Innovation: Conduct cutting-edge research in Natural Language Processing (NLP) and Computer Vision, pushing the boundaries of model performance.
- Optimization: Optimize model inference speeds and reduce latency for real-time, high-traffic environments.
- Collaboration: Partner with product teams to translate complex research into deployable, scalable AI solutions.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of technical excellence and innovation.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related technical field (or equivalent practical experience).
- Experience: 5+ years of professional experience in AI/ML engineering, research, or a related role.
- Technical Stack: Deep proficiency in Python, PyTorch, or TensorFlow.
- Knowledge: Strong understanding of Transformer architectures, LLMs, and fine-tuning methodologies.
- Infrastructure: Experience with cloud platforms (AWS/GCP), Docker, and Kubernetes.