Job Description
Be a Pioneer of the 2026 Era
Apex Neural Systems is seeking a visionary Senior AI Research Engineer to lead the development of next-generation generative models. As we prepare for the technological landscape of 2026, you will be at the helm of architectural decisions that define the future of human-machine interaction. We are not just building models; we are architecting the cognitive infrastructure of tomorrow.
In this role, you will bridge the gap between theoretical research and scalable production systems, ensuring our AI solutions are robust, ethical, and revolutionary.
Why Join Us?
- Work on cutting-edge Generative AI and Large Language Model (LLM) infrastructure.
- Competitive compensation package with equity options.
- Flexible remote-first culture with premium office amenities in San Francisco.
- Opportunity to shape industry standards before 2026.
Responsibilities
- Lead Research Initiatives: Spearhead the design and implementation of novel neural network architectures capable of handling complex multimodal inputs.
- Model Optimization: Enhance model inference speed and reduce computational costs by 40%+ through advanced quantization and pruning techniques.
- Production Deployment: Collaborate with MLOps engineers to deploy models into high-availability cloud environments ensuring 99.99% uptime.
- Roadmap Development: Define the technical roadmap for AI capabilities aimed at the 2026 product release cycle.
- Technical Mentorship: Mentor junior data scientists and engineers, fostering a culture of innovation and continuous learning.
- Ethical AI Compliance: Implement rigorous safety guidelines and bias detection protocols in all training datasets.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Deep Learning.
- Experience: 5+ years of professional experience in building and deploying Large Language Models or Generative Adversarial Networks (GANs).
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and CUDA.
- System Design: Strong understanding of distributed systems, cloud architecture (AWS/GCP), and high-performance computing.
- Communication: Exceptional ability to translate complex technical concepts into actionable business strategies.
- Innovation: Demonstrated track record of publishing research papers or contributing to open-source AI projects.