Job Description
Join the Architects of Tomorrow.
FutureScale Technologies is at the forefront of the AI revolution, dedicated to building the foundational models that will power the digital economy through 2026 and beyond. We are seeking a visionary Senior AI Research Engineer to lead our advanced research division. In this role, you won't just implement existing solutions; you will pioneer the algorithms and architectures that will define the next generation of Artificial Intelligence.
As a key player in our team, you will bridge the gap between theoretical breakthroughs and scalable product applications, ensuring our technology remains ahead of the curve in a rapidly evolving landscape.
Why Join Us?
- Work on cutting-edge Generative AI and Large Language Models.
- Competitive equity package and performance bonuses.
- Flexible remote-first culture with access to state-of-the-art facilities in San Francisco.
Responsibilities
- Research & Development: Spearhead the design and implementation of novel neural network architectures aimed at achieving AGI readiness by 2026.
- Model Optimization: Develop techniques to improve model efficiency, reduce inference costs, and enhance throughput for real-time applications.
- Technical Leadership: Mentor junior researchers and engineers, conducting code reviews, and establishing best practices for reproducible research.
- Collaboration: Partner with product managers and data scientists to translate complex research findings into deployable software solutions.
- Publication: Author high-impact papers for top-tier AI conferences (NeurIPS, ICML, ICLR) and contribute to open-source communities.
- Predictive Modeling: Build robust systems capable of anticipating market trends and user behavior shifts up to 2026.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- Experience: 5+ years of industry experience in AI/ML research, preferably within a top-tier tech firm or research lab.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX; deep understanding of Deep Learning, NLP, and Computer Vision.
- Innovation: A proven track record of publishing novel research and inventing new algorithms.
- Problem Solving: Ability to tackle ambiguous problems and devise creative solutions for complex challenges.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.