Job Description
About Us: Quantum Horizon Labs is at the forefront of the AI revolution, pioneering the AI 2026 roadmap to redefine human-machine interaction. We are seeking a visionary Senior Generative AI Engineer to lead our core infrastructure and model development teams. If you are passionate about building the future of artificial intelligence and want to shape the standards of 2026 and beyond, we want to hear from you.
Why Join Us?
- Work on cutting-edge Generative AI models.
- Competitive equity and benefits package.
- Flexible remote-first culture with a San Francisco hub.
Role Overview:
In this pivotal role, you will be responsible for designing, training, and deploying state-of-the-art Large Language Models (LLMs) and multimodal systems. You will work closely with research scientists and product engineers to bridge the gap between theoretical AI breakthroughs and scalable production applications.
Responsibilities
- Architect and implement scalable pipelines for training, fine-tuning, and serving large-scale Generative AI models.
- Optimize model inference performance to ensure low latency and high throughput for real-time applications.
- Collaborate with the research team to adapt 2026-era AI architectures for specific industry verticals.
- Implement robust evaluation frameworks to measure model accuracy, hallucination rates, and safety metrics.
- Drive the adoption of best practices in MLOps, including CI/CD for models and automated retraining loops.
- Mentor junior engineers and provide technical leadership on complex AI challenges.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
- 5+ years of professional experience in Machine Learning, Deep Learning, or NLP.
- Extensive experience with Python, PyTorch, and TensorFlow.
- Deep understanding of Transformer architectures, BERT, GPT, and diffusion models.
- Proven track record of deploying production-grade AI models with significant user bases.
- Strong grasp of distributed systems and high-performance computing principles.
- Excellent communication skills and the ability to translate technical concepts to non-technical stakeholders.