Job Description
Are you ready to shape the future of artificial intelligence? Horizon 2026 Technologies is seeking a visionary Senior AI Engineer to lead our next-generation neural architecture projects. We are not just building software; we are architecting the cognitive systems that will define the next decade of human-machine interaction.
In this role, you will be at the forefront of innovation, working with state-of-the-art Large Language Models (LLMs) and generative AI frameworks. You will collaborate with a world-class team of researchers and engineers to deliver scalable, ethical, and high-performance AI solutions that impact millions of users globally.
Why join us?
- Competitive compensation and equity packages.
- Access to the latest hardware for AI training and inference.
- A remote-first culture that prioritizes work-life balance.
Responsibilities
- Lead Architecture Design: Design and implement scalable, distributed machine learning systems that can handle petabyte-scale data processing.
- Model Optimization: Fine-tune and optimize transformer models for real-time inference, reducing latency while maximizing accuracy.
- R&D Leadership: Conduct cutting-edge research in NLP, computer vision, or reinforcement learning to stay ahead of industry trends.
- Code Quality & Standards: Establish best practices for code review, documentation, and CI/CD pipelines within the AI engineering team.
- Cross-Functional Collaboration: Partner with product managers and designers to translate complex technical concepts into user-centric AI features.
Qualifications
- Education: MS or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
- Experience: 5+ years of professional experience in machine learning engineering or applied AI research.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Deep understanding of neural network architectures.
- Tools: Experience with MLOps tools (Kubeflow, MLflow) and cloud platforms (AWS, GCP, or Azure).
- Problem Solving: Demonstrated ability to tackle complex, unstructured problems and deliver robust solutions.