Job Description
About Apex Neural Systems
We are pioneering the next generation of Artificial General Intelligence (AGI) and are seeking a visionary Lead AI Research Engineer to help define our roadmap for 2026 and beyond. You will be at the forefront of developing scalable neural architectures that push the boundaries of machine learning. If you are passionate about solving complex problems and shaping the future of technology, we want to meet you.
Why Join Us?
- Work on cutting-edge research with a world-class team.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a hub in San Francisco.
- Focus on ethical AI development and long-term impact.
Responsibilities
- Lead the design and implementation of proprietary deep learning models for the 2026 product roadmap.
- Conduct cutting-edge research in Natural Language Processing (NLP) and computer vision.
- Collaborate with cross-functional teams to integrate AI solutions into production environments.
- Mentor junior researchers and engineers to foster a culture of innovation.
- Stay ahead of industry trends to ensure Apex remains a leader in AI technology.
- Optimize model performance and reduce computational overhead for deployment.
- Document research findings and publish papers in top-tier conferences.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 5+ years of experience in machine learning, deep learning, or AI research.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Strong understanding of transformer architectures and large language models.
- Proven track record of publishing in prestigious AI conferences (NeurIPS, ICML, ACL).
- Experience with distributed systems and cloud computing platforms (AWS/GCP).
- Excellent problem-solving skills and ability to work in a fast-paced startup environment.