Job Description
The Future of Intelligence is Here.
At Apex Innovation Labs, we are not just predicting the future; we are engineering it. We are seeking a visionary Senior 2026 Neural Network Engineer to lead our groundbreaking research into next-generation artificial general intelligence. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.
We are building the architecture that will define the next decade of human-machine interaction. You will work on cutting-edge models designed to outperform current standards, optimizing for efficiency, scalability, and human-like reasoning.
Why Join Us?
- Work on proprietary technologies for the 2026 release cycle.
- Competitive equity package and top-tier compensation.
- Collaborate with world-class researchers and engineers.
Responsibilities
- Architect and train next-generation neural network architectures optimized for the 2026 computing paradigm.
- Conduct high-level research to improve model accuracy, speed, and energy efficiency.
- Optimize deep learning models for edge computing and distributed systems.
- Mentor junior engineers and researchers, fostering a culture of innovation and excellence.
- Collaborate with product teams to integrate advanced AI capabilities into consumer applications.
- Stay ahead of the curve on emerging trends in AI, quantum computing, and synthetic data.
Qualifications
- PhD or Master's degree in Computer Science, Mathematics, or a related field.
- 10+ years of professional experience in deep learning and machine learning engineering.
- Proven track record of publishing research in top-tier conferences (NeurIPS, ICML, ICLR).
- Extensive experience with Python, C++, and major frameworks (PyTorch, TensorFlow, JAX).
- Strong understanding of GPU programming (CUDA) and hardware acceleration.
- Demonstrated ability to lead complex technical projects from conception to deployment.