Job Description
Are you ready to architect the digital future of 2026 and beyond? Horizon Systems Inc. is seeking a visionary Senior AI Engineer to join our elite R&D division. We are building the next generation of autonomous systems, and we need a technical leader who can translate complex algorithms into real-world impact.
In this role, you will not just use existing tools; you will help define the standards for the next decade of Artificial Intelligence. You will work in a dynamic, high-performance environment where innovation is the only metric that matters.
Why Join Us?
- Work on cutting-edge generative models and predictive analytics.
- Competitive compensation package with equity options.
- Flexible remote-first policy with state-of-the-art offices in downtown SF.
Don't just predict the future; help us build it. Apply today.
Responsibilities
- Design, develop, and deploy scalable machine learning models and neural networks capable of handling 2026-scale data volumes.
- Lead the research and implementation of novel algorithms in Natural Language Processing (NLP) and Computer Vision.
- Optimize existing data pipelines to ensure real-time inference and low-latency processing.
- Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Collaborate with product managers and stakeholders to translate business requirements into robust technical solutions.
- Stay ahead of the curve on emerging AI trends, ensuring our architecture remains future-proof.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience building production-grade AI/ML systems using Python, TensorFlow, or PyTorch.
- Deep understanding of deep learning architectures, transformers, and reinforcement learning.
- Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Proven track record of improving model accuracy and reducing inference costs.
- Excellent communication skills and the ability to explain complex technical concepts to non-technical audiences.