Job Description
Are you ready to define the standard for Artificial Intelligence in the year 2026?
OmniFuture Technologies is pioneering the infrastructure that will power the next decade of human-machine collaboration. We are looking for a visionary Senior AI Safety & Alignment Architect to join our elite Research Division. In this pivotal role, you will architect robust safety frameworks and alignment protocols designed to ensure the reliability and ethical integrity of our AI systems as we scale towards our 2026 product roadmap.
As a leader in our field, you will bridge the gap between theoretical research and production-grade engineering, ensuring our AI remains beneficial, controllable, and safe in complex, real-world environments.
Why Join Us?
- Work on cutting-edge technology that defines the future.
- Competitive compensation package with equity options.
- Flexible remote-first culture with premium benefits.
- Direct collaboration with top-tier PhD researchers and engineers.
Responsibilities
- Architect Safety Protocols: Design and implement scalable safety layers for Large Language Models (LLMs) and multi-agent systems to prevent hallucinations and ensure alignment with human values.
- Red Teaming & Adversarial Defense: Lead adversarial testing initiatives to identify vulnerabilities in our models before they reach production, specifically targeting 2026 threat vectors.
- Model Interpretability: Develop tools and methodologies to interpret model behavior, providing insights into decision-making processes for safety auditing.
- Policy Implementation: Translate safety research findings into concrete engineering requirements and guardrails for product deployment.
- Stakeholder Communication: Present complex technical concepts to non-technical stakeholders and regulatory bodies regarding AI safety standards.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, Physics, or a related quantitative field.
- Experience: 5+ years of professional experience in Machine Learning, AI Safety, or a similar technical research role.
- Technical Skills: Deep expertise in Python, PyTorch, or TensorFlow. Strong understanding of Transformer architectures and Reinforcement Learning from Human Feedback (RLHF).
- Soft Skills: Exceptional problem-solving abilities and a passion for ethical AI development.
- Adaptability: Ability to thrive in a fast-paced, ambiguous environment focused on future technologies.