Job Description
We are seeking a visionary Senior AI Engineer to architect the future of intelligent systems at QuantumCore Technologies. As a leader in the Generative AI space, we are pushing the boundaries of what is possible in 2026 and beyond. You will work directly with our research scientists and engineering teams to deploy scalable, high-performance machine learning models that power our flagship products.
Why Join Us?
At QuantumCore, we don't just use AI; we define it. You will have the autonomy to choose the best tools for the job, work with state-of-the-art hardware, and impact millions of users globally. We offer a competitive benefits package, flexible remote/hybrid options, and a culture that prioritizes innovation and inclusivity.
Responsibilities
- Model Development: Design, train, and fine-tune large-scale machine learning models (LLMs, Transformers) using Python and PyTorch/TensorFlow.
- System Optimization: Optimize existing inference pipelines for speed and cost-efficiency, ensuring low latency in production environments.
- Data Strategy: Lead the data engineering team in building robust data pipelines, ensuring high-quality training data for model refinement.
- Research Integration: Stay at the forefront of AI research, integrating cutting-edge academic papers and open-source advancements into our production stack.
- Collaboration: Partner with product managers and UX designers to translate technical capabilities into user-friendly features.
- Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field, or equivalent practical experience.
- Technical Stack: Proficiency in Python, SQL, and deep learning frameworks (PyTorch preferred).
- Experience: 5+ years of experience in machine learning engineering, with a focus on NLP or Computer Vision.
- Infrastructure: Experience deploying models on cloud platforms (AWS, GCP, or Azure) using Kubernetes and Docker.
- Problem Solving: Strong ability to debug complex distributed systems and optimize algorithmic performance.
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.