Job Description
Shape the Future with Us
Quantum Nexus is at the forefront of the technological revolution, and we are gearing up for a pivotal year: 2026. We are looking for a visionary Senior AI Engineer to lead our advanced research division. In this role, you won't just be maintaining the status quo; you will be architecting the neural networks and machine learning frameworks that will define the next era of digital intelligence. Join a team of elite problem-solvers in the heart of Seattle and help us turn the vision of 2026 into reality.
Why Join Quantum Nexus?
- Impactful Work: Directly influence the roadmap that powers our enterprise clients into the future.
- Top-Tier Compensation: Competitive salary, equity packages, and comprehensive benefits.
- State-of-the-Art Environment: Access to the latest hardware and cloud infrastructure.
Responsibilities
- Lead Model Architecture: Design, develop, and deploy cutting-edge deep learning models tailored for the 2026 product roadmap.
- Optimize Performance: Continuously refine and scale existing AI systems to handle millions of concurrent requests with low latency.
- Data Strategy: Spearhead data pipeline improvements, ensuring high-quality data ingestion and processing for training models.
- Research & Innovation: Stay ahead of industry trends, evaluating new frameworks (e.g., Transformers, Graph Neural Networks) to integrate into our ecosystem.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 5+ years of professional experience in Machine Learning and Deep Learning.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of Natural Language Processing (NLP) and Large Language Models (LLMs).
- Infrastructure: Experience with cloud platforms (AWS/Azure/GCP) and containerization tools (Docker/Kubernetes).
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems and deliver scalable solutions under tight deadlines.