Job Description
We are seeking a visionary Senior AI/ML Engineer to lead the architectural design of our groundbreaking systems for the 2026 Vision initiative. Nexus Horizon is at the forefront of the AI revolution, and we need a technical leader who can bridge the gap between theoretical research and scalable production deployment. In this role, you will define the technical roadmap for the next phase of our generative AI suite, ensuring our platforms remain competitive and cutting-edge in a rapidly evolving landscape.
Why Join Us?
- Impact: Shape the future of artificial intelligence with a team of world-class engineers.
- Competitive Compensation: Earn between $180,000 and $250,000 USD annually, plus equity.
- Flexible Work: Hybrid model with a focus on results over hours.
This is an opportunity to work on high-stakes projects that define the technological standards for the coming decade.
Responsibilities
- Architect AI Solutions: Design and implement scalable machine learning pipelines and generative models focused on the 2026 release cycle.
- Roadmap Leadership: Collaborate with product leadership to define technical milestones and deliverables for the 2026 strategic goals.
- Model Optimization: Drive research into efficient inference engines and reduce computational costs for large-scale deployments.
- Technical Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of continuous learning and innovation.
- Cross-Functional Collaboration: Work closely with data engineers, product managers, and security teams to integrate AI capabilities seamlessly into our products.
- Research & Development: Stay ahead of the curve on emerging AI trends, evaluating their potential impact on the 2026 roadmap.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
- Experience: 5+ years of professional experience in AI/ML engineering, with a proven track record of deploying production-grade models.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with Large Language Models (LLMs).
- Architecture: Strong understanding of cloud infrastructure (AWS/GCP/Azure) and microservices architecture.
- Problem Solving: Demonstrated ability to solve complex, unstructured problems with innovative technical solutions.
- Communication: Excellent verbal and written communication skills for translating technical concepts to non-technical stakeholders.