Job Description
We are seeking a visionary Future AI & Robotics Architect to spearhead our research division at Nexus 2026 Labs. As we build the technological foundation for the year 2026, you will bridge the gap between generative artificial intelligence and physical robotics. This is an opportunity to define the next generation of autonomous systems, creating intelligent machines that can learn, adapt, and interact with the world in unprecedented ways.
Key Highlights:
- Shape the trajectory of future technology.
- Work with state-of-the-art deep learning frameworks.
- Competitive equity and flexible remote-first culture.
Responsibilities
- Design and implement scalable neural network architectures for next-gen robotics and autonomous agents.
- Lead a high-performance team of data scientists and ML engineers to push the boundaries of predictive modeling.
- Ensure ethical AI standards and compliance with global regulatory frameworks.
- Collaborate closely with hardware engineers to optimize model inference on edge devices.
- Conduct cutting-edge research in multimodal learning and reinforcement learning.
- Mentor junior developers and drive technical innovation within the department.
Qualifications
- PhD or Master’s degree in Computer Science, Robotics, or a related technical field.
- 5+ years of professional experience in Deep Learning, specifically with Transformers and Reinforcement Learning.
- Proven track record of deploying complex AI models into production environments.
- Strong proficiency in Python, PyTorch, and TensorFlow.
- Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Excellent communication skills and the ability to translate complex technical concepts into actionable strategies.