Job Description
Are you ready to define the technological landscape of 2026 and beyond? Horizon Dynamics is seeking a visionary Senior AI Research Engineer to lead our next-generation Artificial Intelligence initiatives. We are not just building models; we are architecting the future of intelligent systems.
In this pivotal role, you will spearhead research that pushes the boundaries of deep learning, natural language processing, and predictive analytics. You will collaborate with world-class engineers and data scientists to deploy scalable, robust AI solutions that solve complex global challenges.
Why Join Us?
- Impact: Work on projects that directly influence millions of users worldwide.
- Innovation: Access to cutting-edge hardware and proprietary datasets.
- Growth: Clear pathways to leadership and architectural ownership.
Join us in shaping the trajectory of AI technology.
Responsibilities
- Lead Research Initiatives: Design and implement novel deep learning architectures and algorithms to solve unstructured business problems.
- Model Development: Train, fine-tune, and optimize large-scale AI models (LLMs, Transformers) for production deployment.
- Technical Leadership: Mentor junior engineers and data scientists, conducting code reviews and technical architecture discussions.
- Performance Optimization: Reduce inference latency and enhance model accuracy while ensuring cost-efficiency at scale.
- Collaboration: Partner with product teams to translate complex research concepts into scalable, user-centric applications.
- Roadmap Planning: Contribute to the technical roadmap for 2026, identifying emerging trends and technologies.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.
- Experience: 5+ years of professional experience in AI/ML research and development.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and SQL. Experience with Hugging Face and MLOps tools.
- Domain Knowledge: Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- Problem Solving: Demonstrated ability to tackle ambiguous problems with data-driven solutions.
- Communication: Excellent written and verbal communication skills for technical documentation and stakeholder presentations.