Job Description
We are looking for a visionary Lead AI Research Engineer to join Synapse 2026, a pioneer in next-generation autonomous systems. In this role, you will not just adapt to the AI landscape of 2026; you will help architect it.
We are building the backbone of the autonomous web, leveraging cutting-edge Agentic AI and Neural Architecture Search technologies. If you are passionate about pushing the boundaries of what is possible with Large Language Models (LLMs) and generative agents, this is your opportunity to lead from the front.
Why Join Us?
- Work on projects that define the industry standard for 2026.
- Competitive compensation package including equity.
- Flexible remote-first policy with premium benefits.
Responsibilities
- Design and implement scalable Neural Network architectures optimized for real-time inference.
- Lead the research and development of Agentic AI workflows that mimic human-like reasoning.
- Collaborate with cross-functional teams to integrate AI models into production environments.
- Publish high-impact research papers and contribute to open-source initiatives.
- Optimize model latency and accuracy using advanced quantization and pruning techniques.
- Mentor junior engineers and data scientists to foster a culture of innovation.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
- 5+ years of professional experience in Deep Learning, NLP, or Computer Vision.
- Extensive experience with frameworks such as PyTorch, TensorFlow, or JAX.
- Strong proficiency in Python and distributed computing systems (e.g., Ray, Kubernetes).
- Proven track record of deploying production-grade machine learning models.
- Familiarity with ethical AI practices and bias mitigation strategies.