Job Description
Are you ready to define the technological landscape of 2026?
FutureScale Inc. is on the hunt for a visionary Senior AI & Robotics Engineer to spearhead our next-generation autonomous systems. As we prepare for the major paradigm shifts of 2026, we need a technical mastermind to bridge the gap between theoretical AI and physical robotics.
In this role, you won't just maintain the status quo; you will architect the infrastructure for the future. We are looking for someone who thrives in ambiguity and possesses the technical prowess to build scalable, ethical, and robust AI models that will define the era of 2026 and beyond.
Why join us?
- Work on cutting-edge projects that shape the future of humanity.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a hub in the heart of SF.
The Role:
We are seeking an expert in Machine Learning, Deep Learning, and Robotic Process Automation to lead our R&D division. You will be responsible for the end-to-end development of intelligent agents capable of navigating complex environments.
Responsibilities
- Architect and deploy scalable deep learning models tailored for robotic applications.
- Lead the research and development roadmap, specifically targeting innovations relevant to the 2026 technological forecast.
- Collaborate with cross-functional teams of hardware engineers and data scientists to optimize model performance in real-world physical environments.
- Ensure the ethical and safe deployment of AI systems, adhering to strict compliance standards.
- Mentor junior engineers and establish best practices for AI development within the organization.
- Present technical roadmaps and progress reports to executive leadership and stakeholders.
Qualifications
- Master’s or Ph.D. in Computer Science, Robotics, or a related technical field.
- Minimum of 5+ years of professional experience in AI/ML, with a focus on robotics or autonomous systems.
- Proficiency in programming languages such as Python, C++, and TensorFlow/PyTorch.
- Deep understanding of neural networks, computer vision, and sensor fusion technologies.
- Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Strong problem-solving skills and the ability to work in a fast-paced, high-stakes environment.