Job Description
We are on the cusp of a technological renaissance. Apex Horizon Labs is seeking a visionary Senior AI/ML Engineer to lead our '2026 Horizon' initiative—a cutting-edge project focused on defining the next generation of Generative Intelligence and Autonomous Systems. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.
In this role, you will not just build models; you will architect the neural foundations for the future. You will work with a team of elite researchers and engineers to solve complex problems that define the 2026 technological landscape, from scalable Large Language Models (LLMs) to ethical AI frameworks.
Why Join Us?
- Shape the Future: Directly influence the roadmap for AI evolution leading up to 2026.
- Elite Team: Collaborate with PhD-level researchers and industry veterans.
- State-of-the-Art: Access to the latest H100 clusters and proprietary compute resources.
Responsibilities
- Design and deploy scalable AI architectures capable of handling the computational demands of the 2026 era.
- Lead the research and development of advanced Generative AI models, including multimodal learning and reinforcement learning agents.
- Optimize model inference speeds and reduce latency for real-time applications.
- Establish best practices for AI ethics, transparency, and bias mitigation in automated systems.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Translate complex research papers into production-ready code.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in machine learning, deep learning, or natural language processing.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of transformer architectures, LLMs, and distributed training frameworks.
- Experience with cloud infrastructure (AWS, GCP, or Azure) and MLOps pipelines.
- Strong problem-solving skills and the ability to work in a fast-paced, ambiguous environment.