Job Description
We are seeking a visionary Senior AI/ML Engineer to join our elite team at Quantum Horizon Labs. As we pioneer the '2026' initiative—a next-generation agentic AI framework—we need a technical expert to bridge the gap between theoretical research and scalable production systems.
In this role, you will architect the neural architectures that will define the next era of artificial intelligence. You will work in a fast-paced, high-performance environment, collaborating with world-class researchers and engineers to deploy models that push the boundaries of what is possible.
Why Join Us?
- Work on cutting-edge Agentic AI and Large Language Models.
- Competitive equity package and top-tier compensation.
- Flexible remote-first culture with a premium San Francisco office.
Responsibilities
- Architect & Deploy: Design, train, and deploy state-of-the-art deep learning models and LLMs into production environments with zero latency.
- Optimization: Lead initiatives to optimize model inference speed and reduce computational costs using techniques like quantization and pruning.
- Research Integration: Translate academic research papers into robust, scalable software solutions for our core products.
- System Design: Build the MLOps infrastructure required to handle high-velocity data pipelines and continuous model retraining.
- Collaboration: Partner with product managers and data scientists to define technical roadmaps and ensure alignment with business goals.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Programming: Expert proficiency in Python, PyTorch, and TensorFlow.
- Experience: 5+ years of experience in machine learning engineering, specifically in NLP or Computer Vision.
- Tools: Deep knowledge of MLOps tools (Docker, Kubernetes, MLflow) and cloud platforms (AWS, GCP, or Azure).
- Problem Solving: Proven track record of solving complex engineering challenges and improving model accuracy by 15%+.