Job Description
Shape the Future of Intelligence with Nexus Horizon
Are you ready to architect the technological landscape of 2026? Nexus Horizon is looking for a visionary Principal AI & Machine Learning Architect to lead our next-generation initiatives. You will be at the forefront of defining the roadmap for scalable, ethical, and transformative AI solutions that will define the industry standard for the coming decade.
In this role, you won't just implement existing models; you will pioneer novel architectures designed to meet the rigorous demands of the 2026 era. We are looking for a leader who combines deep technical expertise with a strategic mindset to drive innovation across our global platform.
Why Join Us?
- Forward-Looking Vision: Work on cutting-edge projects specifically scoped for the 2026 technology roadmap.
- Competitive Compensation: Base salary up to $250,000 plus equity and performance bonuses.
- Flexible Environment: Hybrid work model supporting top-tier tech talent across the US.
Responsibilities
- Strategic Roadmapping: Define and execute the technical vision for AI capabilities aligned with the 2026 strategic goals, ensuring scalability and future-proofing.
- System Design: Architect complex, distributed machine learning systems and large-scale neural networks that handle high-velocity data streams.
- Team Leadership: Mentor and lead a cross-functional team of ML engineers, data scientists, and researchers to foster a culture of innovation and excellence.
- Model Optimization: Oversee the research and deployment of proprietary models, focusing on efficiency, latency reduction, and inference optimization.
- Ethical AI: Establish governance frameworks and best practices to ensure responsible AI usage and mitigate algorithmic bias.
- Stakeholder Collaboration: Partner with product and engineering leadership to translate complex technical concepts into business value.
Qualifications
- Education: Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, Mathematics, or a related quantitative field.
- Experience: 8+ years of experience in machine learning engineering, with at least 3 years in a senior architectural or lead role.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, or JAX. Strong understanding of distributed computing, cloud infrastructure (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Specialization: Proven track record in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning is highly preferred.
- Leadership: Demonstrated ability to lead teams through complex technical challenges and drive project delivery from conception to production.
- Communication: Exceptional verbal and written communication skills, capable of presenting technical strategies to non-technical stakeholders.