Job Description
We are building the technology that will define the next decade. Apex Future Systems is looking for a visionary Senior AI Architect to lead our research into Artificial General Intelligence (AGI) and neuromorphic computing. If you are passionate about solving the unsolvable and shaping the trajectory of technology in 2026 and beyond, this is your opportunity to lead the charge.
In this role, you will not just write code; you will architect the cognitive frameworks of tomorrow. You will work in a high-performance environment that blends academic rigor with Silicon Valley speed.
Why Join Us?
- Shape the roadmap for AGI development.
- Work with state-of-the-art hardware and software.
- Competitive equity package and top-tier compensation.
- Flexible, remote-first culture with HQ in San Francisco.
Responsibilities
- Architect Neural Architectures: Design and implement scalable deep learning models capable of handling complex, multi-modal data streams.
- Pioneer AGI Research: Lead R&D initiatives focused on emergent behaviors in Large Language Models (LLMs) and reinforcement learning systems.
- Mentorship: Guide a team of elite data scientists and ML engineers, fostering a culture of innovation and continuous learning.
- Algorithm Optimization: Reduce inference latency and improve training efficiency by 30%+ through novel algorithmic approaches.
- Ethical AI Governance: Establish frameworks to ensure AI safety, transparency, and alignment with human values.
- Strategic Roadmapping: Collaborate with C-level executives to define the technical vision for product launches in 2026.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field (or equivalent industry experience).
- Experience: 5+ years of experience in deep learning, machine learning, or AI research.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and CUDA.
- Knowledge: Deep understanding of transformer models, attention mechanisms, and probabilistic graphical models.
- Problem Solving: Demonstrated ability to tackle novel problems with no existing solutions.
- Communication: Ability to translate complex technical concepts into actionable business strategies for non-technical stakeholders.