Job Description
The Future of Intelligence Starts Here.
OmniCore Technologies is at the forefront of the next technological revolution. We are currently assembling the elite team required to achieve Artificial General Intelligence (AGI) by 2026. We are looking for a visionary Senior AI Research Scientist to lead our flagship research division.
In this high-impact role, you will not just build models; you will define the architecture of tomorrow. You will bridge the gap between theoretical computer science and scalable engineering solutions, pushing the boundaries of what is possible in natural language processing, reasoning, and autonomous systems.
Why Join Us?
- Impactful Mission: Work directly on the 2026 AGI Roadmap, a project with global implications.
- Top-Tier Compensation: Competitive salary, equity packages, and performance bonuses.
- Flexible Work: Hybrid model based in Austin, TX.
Responsibilities
- Lead Strategic Research: Direct the R&D strategy for achieving AGI milestones by 2026, focusing on neural-symbolic integration and multi-modal reasoning.
- Architect Scalable Systems: Design and implement robust, scalable machine learning infrastructure capable of processing petabytes of data.
- Publish & Innovate: Publish cutting-edge research in top-tier conferences (NeurIPS, ICML) and drive open-source contributions to the AI community.
- Cross-Functional Leadership: Collaborate closely with engineering teams to translate theoretical models into production-ready APIs and products.
- Mentorship: Mentor junior researchers and data scientists, fostering a culture of innovation and continuous learning within the lab.
- Model Optimization: Continuously refine existing models to improve accuracy, speed, and energy efficiency.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Experience: Minimum of 5+ years of experience in deep learning, specifically with Transformer architectures (BERT, GPT).
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and CUDA.
- Research Background: Proven track record of publishing research papers and leading technical initiatives.
- Problem Solving: Strong ability to tackle complex, undefined problems and devise novel algorithmic solutions.
- Communication: Excellent written and verbal communication skills for technical documentation and stakeholder presentations.