Job Description
We are 2026 Horizon, a next-generation think-tank and technology agency pioneering the architectural frameworks for the year 2026. We are seeking a visionary Senior AI Engineer to lead our research division, bridging the gap between current machine learning capabilities and the futuristic infrastructure of tomorrow.
In this pivotal role, you won't just maintain systems; you will architect the neural networks that define our future. If you possess a deep understanding of generative models, large language models (LLMs), and scalable infrastructure, we want to meet you.
Why Join Us?
- Impactful Work: Build the foundational AI models that will power the next decade of technological evolution.
- Remote-First Culture: Flexible working arrangements with a global team of elite engineers.
- Competitive Compensation: Top-tier salary and equity packages.
Responsibilities
- Architect Next-Gen AI Solutions: Design and deploy advanced deep learning models and neural networks tailored for predictive analytics and generative content.
- Lead Research Initiatives: Spearhead R&D projects focusing on Long-Term Memory in AI and ethical autonomous systems.
- Optimize Infrastructure: Scale our machine learning pipelines using cloud-native technologies (AWS/Azure) to handle petabyte-scale data processing.
- Collaborate with Futurists: Work closely with product strategists to translate '2026 Vision' roadmaps into executable technical specifications.
- Mentorship: Guide a team of junior data scientists and ML engineers, fostering a culture of innovation and continuous learning.
- Code Review & Standards: Enforce best practices in code quality, documentation, and security protocols across all AI modules.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
- Experience: Minimum of 7 years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and SQL. Experience with Hugging Face and LangChain is highly desirable.
- Cloud Expertise: Strong background in deploying models on AWS, GCP, or Azure.
- Problem Solving: Proven track record of solving complex, unstructured problems using data-driven approaches.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
- Agile Mindset: Experience working in agile environments with rapid iteration cycles.