Job Description
We are at the forefront of defining the technological landscape for the next decade. Apex Innovations is seeking a visionary Lead AI Research Engineer to spearhead our '2026' initiative—a groundbreaking project focused on next-gen Neural Interfaces and Quantum-Augmented Machine Learning models.
If you are passionate about pushing the boundaries of artificial general intelligence and want to build the infrastructure of the future, we want you on our team.
Responsibilities
- Design and implement cutting-edge deep learning architectures for real-time neural interface data processing.
- Lead a team of researchers to explore quantum computing applications in AI model optimization.
- Collaborate with cross-functional engineering teams to translate research into scalable production systems.
- Publish high-impact papers and present findings at top-tier global conferences.
- Define the technical roadmap for our 2026 technology stack, ensuring alignment with industry standards.
- Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.
Qualifications
- Master’s or PhD in Computer Science, Physics, or a related field with a focus on AI and Machine Learning.
- Minimum 5+ years of experience in deep learning frameworks (PyTorch, TensorFlow, or JAX).
- Proven track record of publishing research in top-tier venues (NeurIPS, ICML, ICLR).
- Experience with quantum computing libraries (Qiskit, Cirq) is a strong plus.
- Deep understanding of large language models and generative adversarial networks.
- Strong programming skills in Python and C++.