Job Description
Are you ready to architect the future of technology? NexaCore Innovations is a premier technology firm pioneering the next generation of autonomous systems and generative AI. As we prepare to lead the industry into the 2026 era, we are seeking a visionary Senior AI Engineer to join our elite R&D team in San Francisco.
In this pivotal role, you will not just write code; you will define the protocols of tomorrow. You will work alongside world-class researchers and engineers to build scalable, ethically aligned artificial intelligence that solves real-world problems. If you are passionate about the intersection of machine learning, data science, and future-forward infrastructure, this is your opportunity to make history.
Why Join Us?
- Impactful Work: Directly influence the roadmap for 2026 and beyond.
- Top-Tier Compensation: Competitive salary and equity package.
- Modern Stack: Access to the latest GPUs, cloud infrastructure, and open-source tools.
Responsibilities
- Design, implement, and optimize high-performance deep learning models for complex predictive tasks.
- Lead the research and development of novel algorithms that push the boundaries of neural network architecture.
- Collaborate with cross-functional teams to integrate AI solutions into production-grade software ecosystems.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Stay abreast of the latest advancements in AI, including Large Language Models (LLMs) and reinforcement learning.
- Conduct rigorous code reviews and contribute to the technical vision and roadmap of the company.
- Ensure scalability, security, and ethical compliance in all AI deployments.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field; PhD preferred.
- Minimum of 5 years of professional experience in machine learning, AI, or data science.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of statistical modeling, natural language processing, or computer vision.
- Experience deploying models to cloud environments (AWS, GCP, or Azure).
- Proven track record of leading technical projects from conception to production.
- Excellent communication skills and the ability to translate complex technical concepts for diverse audiences.