Job Description
We are Horizon 2026, a cutting-edge research lab pioneering the next generation of artificial intelligence. As we approach the pivotal year of 2026, we are seeking a visionary Senior Machine Learning Engineer to architect scalable, robust, and ethical AI systems that will define the future of human-computer interaction.
In this role, you will work at the intersection of deep learning, natural language processing, and quantum computing integration. You will be responsible for building the core intelligence layer of our platforms, ensuring they are not just functional, but revolutionary.
Why Join Us?
We offer competitive equity packages, remote-first flexibility, and the opportunity to work on problems that matter. If you are passionate about the trajectory of AI and want to be at the forefront of innovation in 2026, we want to hear from you.
Responsibilities
- Architect & Deploy: Design, train, and deploy state-of-the-art machine learning models on distributed cloud infrastructure (AWS/GCP).
- Research & Development: Stay at the bleeding edge of AI research, implementing novel algorithms to solve complex, unstructured problems.
- System Optimization: Optimize model inference speeds and reduce latency for real-time applications.
- Collaboration: Partner with data scientists, product managers, and engineers to translate research into production-ready features.
- Mentorship: Guide junior engineers and provide technical leadership within the AI research team.
- Ethical AI: Ensure all models adhere to fairness, accountability, and transparency standards.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field.
- Experience: 5+ years of professional experience in machine learning or deep learning engineering.
- Programming: Proficiency in Python, PyTorch, or TensorFlow.
- Cloud Expertise: Strong experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
- Mathematical Foundation: Solid understanding of linear algebra, calculus, and probability statistics.
- Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.