Job Description
We are seeking a visionary Senior AI/ML Engineer to join our elite 'Project 2026' team. At Nexus Horizon, we are not just building software; we are architecting the future of intelligence. As we approach the technological tipping point of 2026, we need a leader who can translate complex algorithms into scalable, real-world solutions that redefine user experiences.
In this role, you will be at the forefront of Generative AI and Large Language Models (LLMs), working on cutting-edge projects that will set the industry standard for the next decade. You will collaborate with world-class researchers and product designers to build systems that are not only powerful but ethical and accessible.
Why join us?
- Work on Project 2026, a top-secret initiative shaping the future of AI.
- Competitive compensation package with equity options.
- Unlimited PTO and comprehensive health benefits.
- Access to the latest hardware and cloud infrastructure.
If you are passionate about the intersection of human ingenuity and machine intelligence, we want to hear from you.
Responsibilities
- Architect & Deploy: Design and implement scalable machine learning pipelines and deploy models to production environments using Kubernetes and AWS.
- Research & Innovation: Stay ahead of the curve in AI research, specifically in Generative AI, Reinforcement Learning, and Neural Architecture Search.
- Model Optimization: Continuously optimize model performance, reducing latency and improving inference accuracy for real-time applications.
- Collaboration: Partner with cross-functional teams (Data Science, Product, Engineering) to define technical requirements and drive product roadmap execution.
- Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field.
- Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years specifically in Generative AI or NLP.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with MLOps tools (MLflow, Kubeflow).
- Soft Skills: Exceptional problem-solving abilities and the ability to communicate complex technical concepts to non-technical stakeholders.
- Passion: A deep passion for the future of technology and a desire to build products that matter.