Job Description
Are you ready to architect the intelligence of tomorrow? Quantum Horizon is leading the charge into 2026, building the next generation of autonomous AI systems. We are looking for a visionary Senior Machine Learning Engineer to define the roadmap for our flagship product, ensuring our technology remains at the forefront of the industry.
In this role, you will not just write code; you will shape the future of human-machine interaction. You will work in a high-performance environment where innovation is the only metric that matters. If you are passionate about pushing the boundaries of what is possible in AI, this is your chance to join a team that is redefining the landscape.
Why Join Us?
- Competitive salary and equity package.
- Work with cutting-edge technology in a state-of-the-art facility.
- Flexible remote and hybrid work options.
- Professional development and continuous learning opportunities.
Responsibilities
- Architect Scalable ML Pipelines: Design and implement robust, scalable machine learning infrastructure capable of handling billions of data points.
- Lead Research Initiatives: Drive research in Generative AI and Large Language Models (LLMs) to solve complex, real-world problems.
- Optimize Neural Networks: Continuously refine model accuracy and reduce latency to ensure seamless user experiences.
- Collaborate Across Disciplines: Partner with quantum computing researchers and software engineers to integrate hybrid computing solutions.
- Establish Ethical AI Guidelines: Implement responsible AI practices to ensure fairness, transparency, and safety in automated systems.
- Mentor Junior Talent: Foster a culture of learning by mentoring junior engineers and conducting code reviews.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Experience: 5+ years of professional experience in machine learning, deep learning, or artificial intelligence.
- Programming: Strong proficiency in Python, PyTorch, and TensorFlow.
- Domain Knowledge: Deep understanding of Natural Language Processing (NLP) and Computer Vision.
- MLOps: Experience with cloud platforms (AWS, GCP) and CI/CD pipelines for machine learning.
- Problem Solving: Demonstrated ability to tackle ambiguous problems and deliver innovative solutions under tight deadlines.