Job Description
Are you ready to define the intelligence of tomorrow?
FutureScale Technologies is seeking a visionary Senior AI Research Scientist to lead our 2026 Roadmap initiatives. We are building the next generation of Autonomous AI Agents and Large Language Models (LLMs) that will redefine human-machine interaction. If you are passionate about pushing the boundaries of Deep Learning, NLP, and Reinforcement Learning, this is your opportunity to shape the future.
In this role, you will work at the intersection of research and production engineering, bridging the gap between theoretical breakthroughs and scalable real-world applications. Join us in San Francisco and help us build the AI infrastructure for 2026.
Responsibilities
- Lead Research Initiatives: Spearhead the development of advanced Generative AI models, focusing on multi-modal capabilities and autonomous agent reasoning.
- Model Optimization: Optimize large-scale models for inference speed, latency, and cost-efficiency using techniques like quantization and distillation.
- Paper Publication: Publish high-impact research findings in top-tier conferences (NeurIPS, ICML, ICLR) and contribute to the open-source community.
- Technical Mentorship: Mentor junior researchers and engineers, fostering a culture of innovation and continuous learning within the AI Lab.
- Cross-Functional Collaboration: Partner with product and engineering teams to translate complex research into deployable features.
- Infrastructure Scalability: Design and implement training pipelines capable of handling petabyte-scale data and massive compute clusters.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Machine Learning, Mathematics, or a related field.
- Technical Expertise: Deep understanding of Deep Learning, Neural Networks, and Natural Language Processing (NLP).
- Programming: Proficiency in Python, PyTorch, TensorFlow, or JAX; experience with C++ for high-performance computing.
- Experience: 5+ years of industry experience in AI research or a comparable research institution.
- Project Management: Proven track record of managing complex research projects from conception to completion.
- Soft Skills: Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.