Job Description
Are you ready to define the trajectory of artificial intelligence for the year 2026 and beyond? Apex Horizon Technologies is seeking a visionary Senior AI Research Scientist to lead our cutting-edge initiatives in Generative AI, Large Language Models (LLMs), and Autonomous Systems.
In this pivotal role, you will bridge the gap between theoretical research and scalable production engineering. We are not just building software; we are architecting the future of human-machine interaction. If you thrive in an environment that demands innovation, technical excellence, and strategic thinking, we want to hear from you.
Responsibilities
- Lead R&D Initiatives: Spearhead the research and development of novel AI architectures designed to solve complex, unsolved problems in the 2026 landscape.
- Model Optimization: Optimize and fine-tune state-of-the-art foundation models for specific enterprise applications, ensuring efficiency and accuracy.
- Paper to Production: Translate academic research findings and published papers into deployable, high-performance software solutions.
- Technical Mentorship: Mentor junior researchers and engineers, fostering a culture of continuous learning and technical rigor within the AI lab.
- Ethical AI Compliance: Ensure all AI models adhere to strict ethical guidelines and bias mitigation standards.
- Strategic Collaboration: Work closely with product management and engineering teams to define technical roadmaps and product requirements.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: 5+ years of experience in research roles or as a Senior Machine Learning Engineer.
- Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (e.g., Apache Spark, Ray).
- Expertise: Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL) or shipping large-scale AI products.
- Domain Knowledge: Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- Communication: Excellent ability to communicate complex technical concepts to both technical and non-technical stakeholders.