Job Description
We are seeking a visionary engineer to lead the 2026 Strategic AI Initiative at Nexus Horizon Labs. We are not just predicting the future; we are architecting it. In this high-impact role, you will design and deploy next-generation machine learning models that power our advanced robotic systems. You will work at the forefront of AI, robotics, and automation, collaborating with world-class researchers and developers to solve complex problems in real-time environments.
Why Join Us?
- Work on cutting-edge technology that defines the 2026 landscape.
- Competitive compensation and equity package.
- Flexible remote and hybrid work options.
- Access to state-of-the-art computing resources and research facilities.
If you are ready to push the boundaries of what is possible in AI and robotics, apply today.
Responsibilities
- Architect Scalable Systems: Design and implement robust machine learning pipelines and robotic control systems for the 2026 product roadmap.
- Model Optimization: Optimize neural networks for low-latency, high-performance edge computing environments.
- Roadmap Leadership: Define technical milestones and strategies to ensure the successful launch of AI capabilities by 2026.
- Team Mentorship: Guide and mentor junior engineers and data scientists to foster a culture of innovation and excellence.
- Cross-Functional Collaboration: Partner with product managers, designers, and hardware engineers to integrate AI solutions seamlessly.
- Research & Development: Stay ahead of industry trends in NLP, computer vision, and reinforcement learning.
Qualifications
- Education: Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field (PhD preferred).
- Experience: 5+ years of professional experience in machine learning, AI, or robotics.
- Programming: Proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
- Technical Skills: Strong understanding of ROS (Robot Operating System), SLAM, and sensor fusion technologies.
- Problem Solving: Demonstrated ability to troubleshoot complex technical challenges in dynamic environments.
- Communication: Excellent verbal and written communication skills for technical presentations and documentation.