Job Description
At FutureCore Systems, we are engineering the infrastructure for the year 2026 and beyond. We are on the cutting edge of generative AI and autonomous systems, building the tools that will define the future of human-computer interaction. We are looking for a visionary Lead AI Architect to spearhead our next-generation neural network architecture.
We are seeking a pioneer who thrives in ambiguity and is obsessed with pushing the boundaries of what is possible. If you want to architect the systems that will power the next decade of technology, this is your opportunity.
Key Highlights:
- Work on mission-critical projects with high-impact visibility.
- Competitive compensation reflecting the high stakes of the future.
- Flexible remote-first culture with HQ access in San Francisco.
Responsibilities
- Architect and deploy scalable, fault-tolerant machine learning pipelines capable of processing petabytes of data.
- Lead the research and implementation of novel neural architectures aimed at improving inference speeds by 500% by 2026.
- Mentor a diverse team of data scientists and ML engineers, fostering a culture of innovation and continuous learning.
- Collaborate with cross-functional product teams to translate complex AI capabilities into user-centric features.
- Ensure compliance with ethical AI guidelines and data privacy regulations (GDPR/CCPA).
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on Artificial Intelligence.
- Minimum of 7 years of experience in designing and implementing large-scale machine learning systems.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Spark).
- Proven track record of deploying LLMs and generative AI models into production environments.
- Strong understanding of optimization techniques for edge devices and IoT integration.