Job Description
The Horizon 2026 Initiative
Nexus Horizon Labs is pioneering the next era of synthetic intelligence. We are looking for a visionary Next-Gen AI & Synthetic Intelligence Engineer to join our elite team in San Francisco. In this pivotal role, you will architect systems that bridge the gap between current machine learning capabilities and the predictive architectures of 2026 and beyond.
You will work at the forefront of generative models, autonomous agents, and adaptive neural networks. If you are passionate about solving unsolved problems and building the digital infrastructure of the future, we want to hear from you.
Why Join Us?
- Work on projects that define the technological landscape of 2026.
- Competitive equity package and top-tier compensation.
- Access to cutting-edge hardware and cloud infrastructure.
Join us in shaping the future of technology.
Responsibilities
- Design and implement scalable neural architectures for Generative AI and Synthetic Intelligence systems.
- Optimize model performance for real-time inference on edge devices and massive cloud clusters.
- Lead research initiatives into emergent behaviors in deep learning models.
- Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
- Ensure ethical AI practices, data privacy, and transparency in all synthetic data generation.
- Mentor junior engineers and researchers in advanced AI methodologies.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
- 5+ years of professional experience in Machine Learning Engineering or Applied AI.
- Deep expertise in Python, PyTorch, and TensorFlow.
- Proven track record of deploying large-scale ML models to production environments.
- Experience with distributed computing frameworks (e.g., Apache Spark, Kubernetes).
- Strong understanding of Natural Language Processing (NLP) and Computer Vision.