Job Description
Are you ready to define the technology of tomorrow? Nexus Horizon Technologies is looking for a visionary Senior AI Research Engineer (2026 Vision) to spearhead our initiatives in the rapidly evolving landscape of Generative AI and Large Language Models. We are building the infrastructure that will power the next decade of human-machine interaction.
In this pivotal role, you will bridge the gap between theoretical research and practical application, ensuring our solutions are scalable, ethical, and industry-leading. If you are passionate about pushing the boundaries of what is possible with AI and want to shape the trajectory of technology through 2026 and beyond, we want to hear from you.
Why Join Us?
- State-of-the-Art Environment: Work with the latest hardware and software stacks dedicated to AI research.
- Impactful Work: Your code will directly influence millions of users and redefine industry standards.
- Competitive Compensation: Comprehensive package including equity, health benefits, and continuous learning budget.
Responsibilities
- Architect Scalable Models: Design and implement cutting-edge deep learning architectures tailored for the 2026 AI ecosystem, focusing on efficiency and performance.
- Research & Development: Lead research initiatives in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning, publishing findings in top-tier venues.
- Optimization: Refine model inference latency and reduce computational costs through aggressive optimization techniques.
- Collaboration: Partner with cross-functional teams of product managers, data scientists, and engineers to translate research into production-ready features.
- Ethical AI: Establish and enforce guidelines for responsible AI, ensuring fairness, transparency, and safety in our models.
- Mentorship: Guide junior engineers and researchers, fostering a culture of innovation and technical excellence.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Experience: 5+ years of professional experience in machine learning research or software engineering with a strong ML background.
- Technical Skills: Proficiency in Python, PyTorch, or TensorFlow; extensive experience with Transformers and LLMs.
- Programming: Strong algorithmic skills and experience optimizing code for GPU clusters.
- Communication: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to diverse audiences.
- Passion: Deep interest in the future of AI and a proactive approach to staying ahead of industry trends (2026 vision).