Job Description
We are at the precipice of a new technological era. Synthetix Future Labs is seeking a visionary Senior AI Research Engineer to spearhead the development of next-generation artificial intelligence architectures targeting the 2026 landscape.
In this pivotal role, you will not just implement existing models; you will architect the foundation for the AGI systems of tomorrow. You will work alongside a world-class team of ethicists, data scientists, and engineers to solve complex problems in natural language processing, computer vision, and multi-agent systems.
If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.
Responsibilities
- Lead R&D Initiatives: Drive the research roadmap for advanced machine learning models, specifically focusing on scalability and efficiency for 2026 deployment.
- Model Architecture Design: Design and implement novel neural network architectures that outperform current state-of-the-art benchmarks.
- Prototype Development: Build and prototype complex AI systems in a sandbox environment before full-scale production deployment.
- Ethical AI Implementation: Ensure all models adhere to strict safety, fairness, and bias mitigation protocols.
- Collaboration: Partner with product teams to translate theoretical research into practical, high-impact applications.
- Publication: Contribute to academic papers and industry whitepapers to establish Synthetix Future Labs as a thought leader in the 2026 AI ecosystem.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related technical field with a focus on AI/ML.
- Experience: 5+ years of industry experience in machine learning research, deep learning, or a related field.
- Technical Skills: Proficiency in Python, PyTorch, or TensorFlow. Strong understanding of distributed systems and high-performance computing.
- Knowledge: Deep understanding of transformer models, reinforcement learning, or generative adversarial networks (GANs).
- Problem Solving: Demonstrated ability to tackle ambiguous problems and derive innovative solutions.
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to diverse stakeholders.