Job Description
We are seeking a visionary Senior Artificial Intelligence Engineer to lead our next-generation neural architecture initiatives. At Quantum Horizon Labs, we are not just predicting the future; we are architecting it. You will work at the intersection of deep learning, quantum computing, and large-scale data processing to solve complex problems that define the technology landscape of tomorrow. Join a team of elite engineers and researchers committed to pushing the boundaries of what is possible.
Why Join Us?
- Work on cutting-edge projects that have a tangible impact on the global tech ecosystem.
- Competitive compensation package with performance bonuses and stock options.
- Flexible remote-first policy with a hub in the heart of Washington, DC.
- Access to state-of-the-art hardware and cloud infrastructure.
Our Ideal Candidate:
You possess a deep understanding of machine learning principles and have a track record of deploying scalable AI solutions. You are not just looking for a job; you are looking for a mission to dedicate your career to.
Responsibilities
- Architecting AI Systems: Design, develop, and deploy robust, scalable machine learning models and deep neural networks.
- Research & Innovation: Stay ahead of the curve by researching novel algorithms and integrating them into our production environment.
- Model Optimization: Fine-tune models for high performance, accuracy, and low latency in real-time applications.
- Data Strategy: Lead the data pipeline strategy, ensuring high-quality data ingestion, cleaning, and feature engineering.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and software engineers to translate business requirements into technical solutions.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Programming: Proficiency in Python, with strong experience in PyTorch or TensorFlow.
- Experience: 5+ years of professional experience in machine learning engineering or data science.
- Cloud Infrastructure: Experience deploying models on AWS, Google Cloud, or Azure.
- Statistics: Strong foundation in statistical modeling, probability, and optimization.
- Communication: Excellent verbal and written communication skills for technical documentation and stakeholder presentations.