Job Description
Are you ready to define the future? OmniFuture Technologies is seeking a visionary Lead AI Research Scientist to spearhead our groundbreaking initiatives for the 2026 roadmap. We are not just building software; we are architecting the intelligence that will power the next decade of human-machine interaction.
In this high-impact role, you will lead a world-class team in developing advanced Large Language Models (LLMs) and autonomous agents. You will bridge the gap between theoretical research and scalable production systems, ensuring our technology remains at the bleeding edge of innovation.
Why Join Us?
- Work on cutting-edge AI infrastructure.
- Shape the strategic vision for the 2026 timeline.
- Competitive compensation and equity package.
If you are passionate about the future of Artificial Intelligence and want to leave a lasting legacy, we want to hear from you.
Responsibilities
- Lead Research & Development: Define and execute the technical roadmap for our core AI models, specifically targeting milestones through 2026.
- Model Architecture: Design and optimize state-of-the-art neural network architectures for natural language processing and computer vision applications.
- Team Leadership: Mentor and manage a diverse team of data scientists and ML engineers, fostering a culture of innovation and technical excellence.
- Production Deployment: Collaborate with engineering teams to transition research prototypes into robust, scalable production environments.
- Prior Art Analysis: Conduct in-depth analysis of emerging research papers and industry trends to keep our technology ahead of the curve.
- Strategic Innovation: Identify high-potential research areas that align with our 2026 business objectives and product vision.
- Stakeholder Communication: Translate complex technical concepts into compelling narratives for stakeholders and investors.
Qualifications
- Education: Ph.D. in Computer Science, Machine Learning, Mathematics, or a related field.
- Experience: 7+ years of experience in AI/ML research and development, with at least 3 years in a leadership or senior technical role.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Ray, Kubernetes).
- Core Skills: Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or shipping impactful AI products.
- Domain Knowledge: Strong background in Deep Learning, NLP, or Reinforcement Learning.
- Leadership: Demonstrated ability to lead cross-functional teams and drive projects from conception to delivery.
- Problem Solving: Exceptional ability to solve complex, open-ended research problems.