Job Description
We are not just looking for an engineer; we are looking for a visionary. Apex Future Systems is pioneering the next generation of Artificial General Intelligence (AGI) to define the landscape of 2026 and beyond. Based in the heart of San Francisco, we are on a mission to build autonomous systems that reason, learn, and create.
As a Senior AI Research Scientist, you will be the architect of our core reasoning engines. You will bridge the gap between theoretical breakthroughs and scalable, production-grade systems. If you are passionate about the future of technology and want to leave a legacy in the AI revolution, we want to hear from you.
Responsibilities
- Architect Advanced Models: Spearhead the research and development of next-generation Large Language Models (LLMs) and multi-modal reasoning systems.
- Technical Leadership: Mentor a team of top-tier researchers and engineers, fostering a culture of innovation and excellence.
- Prototype Deployment: Translate complex academic concepts into robust, deployable software prototypes ready for the 2026 market.
- Cross-Functional Collaboration: Work closely with product teams to align AI capabilities with real-world business applications.
- Research Publication: Author and present high-impact papers at top-tier conferences (NeurIPS, ICML, ICLR).
- Ethical AI Implementation: Ensure all models adhere to strict safety and ethical guidelines.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field with a focus on AI/ML.
- Experience: 7+ years of experience in machine learning research and development, with a proven track record of leading significant projects.
- Technical Stack: Proficiency in Python, PyTorch, and TensorFlow; deep expertise in Transformers, Attention mechanisms, and Reinforcement Learning.
- Problem Solving: Demonstrated ability to tackle unsolved problems in natural language understanding and reasoning.
- Communication: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to diverse audiences.
- Adaptability: High comfort level with ambiguity and a passion for exploring emerging technologies.