Job Description
We are at the precipice of a new era. The 2026 Horizon Initiative is looking for visionaries to engineer the next generation of artificial intelligence. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, this is your stage.
Our mission is to define the technological landscape of the upcoming decade. You will work on cutting-edge generative models, optimizing neural networks for real-world applications, and leading a team of elite engineers. We value innovation, speed, and the courage to tackle the impossible.
Why Join Us?
- Impactful Work: Directly shape the core infrastructure powering the future.
- Top-Tier Compensation: Competitive salary and equity packages.
- Modern Environment: Flexible remote-first culture with a San Francisco HQ.
Ready to build the future? Apply today.
Responsibilities
- Architect and deploy scalable deep learning models tailored for the 2026 infrastructure.
- Conduct groundbreaking research in Natural Language Processing and Computer Vision.
- Collaborate with cross-functional teams to integrate AI solutions into our ecosystem.
- Optimize existing algorithms for increased efficiency and reduced latency.
- Mentor junior engineers and foster a culture of technical excellence.
- Stay ahead of industry trends and implement best practices in model deployment.
Qualifications
- PhD or Master’s degree in Computer Science, AI, or a related quantitative field.
- 5+ years of professional experience in machine learning engineering.
- Proficiency in Python, PyTorch, or TensorFlow.
- Strong understanding of distributed systems and cloud architecture (AWS/GCP).
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, etc.).
- Experience with Large Language Models (LLMs) and generative AI.