Job Description
We are at the forefront of the 2026 AI revolution, building the next generation of artificial general intelligence systems. We are seeking a visionary Senior AI Research Engineer to join our elite team in New York and help define the technical roadmap for the upcoming years.
In this role, you will be responsible for developing scalable machine learning architectures, optimizing large language models, and ensuring our AI systems are safe, efficient, and transformative. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.
Why Join Us?
- Work on cutting-edge AI infrastructure.
- Competitive compensation and equity packages.
- Flexible remote/hybrid work culture.
- Access to state-of-the-art compute resources.
Responsibilities
- Architect Development: Design and implement novel neural network architectures tailored for the 2026 computing landscape.
- Model Optimization: Fine-tune and optimize large language models (LLMs) for reduced latency and higher inference accuracy.
- Research Strategy: Lead research initiatives focused on multi-modal learning and autonomous agent systems.
- Code Quality: Maintain rigorous standards for code documentation, testing, and reproducibility within the research team.
- Cross-Functional Collaboration: Partner with product and engineering teams to translate research findings into scalable production applications.
- Ethical AI: Develop and implement safety guidelines and fairness metrics for AI deployment.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- Experience: 5+ years of experience in deep learning, machine learning, or natural language processing.
- Technical Skills: Proficiency in Python, PyTorch, or TensorFlow; experience with distributed training frameworks (Ray, Horovod).
- Domain Knowledge: Strong understanding of transformer models, attention mechanisms, and reinforcement learning.
- Communication: Ability to articulate complex technical concepts to both technical and non-technical stakeholders.
- Innovation: Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL) or open-source contributions.