Job Description
We are seeking a visionary Senior AI Research Scientist to lead our next-generation autonomous systems. As we approach the 2026 roadmap, we are redefining the boundaries of machine reasoning and neural-symbolic integration. You will work at the forefront of Generative AI, pushing the envelope on how large language models interact with real-world data.
Why join us?
- Work on cutting-edge projects that define the industry standard for 2026.
- Competitive compensation package including equity and bonuses.
- Flexible remote-first policy with access to premium office amenities.
We are looking for a builder, not just a user. If you are passionate about the future of Artificial Intelligence and want to leave a lasting impact on the tech landscape, we want to hear from you.
Responsibilities
- Design and architect advanced neural network architectures for next-gen LLMs.
- Lead research initiatives focused on autonomous agents and multi-modal reasoning.
- Collaborate closely with engineering teams to translate theoretical research into production-ready models.
- Publish high-impact papers at top-tier conferences (NeurIPS, ICML, ICLR).
- Mentor junior researchers and PhD candidates within the lab.
- Optimize model inference latency and resource efficiency for edge deployment.
- Conduct rigorous A/B testing and validation of AI models against safety benchmarks.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 5+ years of experience in deep learning, natural language processing, or reinforcement learning.
- Strong proficiency in Python, PyTorch, and TensorFlow.
- Proven track record of publishing in top-tier AI conferences or open-source contributions.
- Experience with large-scale distributed training systems (Ray, Kubernetes, Horovod).
- Excellent communication skills and the ability to explain complex technical concepts to diverse stakeholders.
- Familiarity with ethical AI practices and bias mitigation techniques.