Job Description
We are on a mission to define the intelligence of the 21st century. At Nexus AI Labs, we are not just building software; we are architecting the foundation for Artificial General Intelligence (AGI). As we approach our 2026 roadmap release, we need a visionary Senior AI Research Engineer to help scale our next-generation models.
In this role, you will work at the cutting edge of Deep Learning, contributing to the development of autonomous agents and multimodal reasoning systems. You will be responsible for pushing the boundaries of neural architectures, ensuring our models are not only powerful but also ethical and safe.
Why Join Us?
- Work on projects that will define the technology landscape of 2026 and beyond.
- Competitive equity package and top-tier compensation.
- Access to state-of-the-art compute resources and research teams.
- Flexible work environment in the heart of San Francisco.
Responsibilities
- Research & Development: Lead the design and implementation of novel transformer architectures and reinforcement learning algorithms aimed at achieving human-level reasoning.
- Model Optimization: Optimize large-scale model inference and training efficiency using distributed computing techniques.
- Prototyping: Rapidly prototype and validate new AI concepts using Python, PyTorch, and custom frameworks.
- Ethical AI: Collaborate with the ethics board to ensure AI safety, fairness, and alignment with human values.
- Collaboration: Partner with product and engineering teams to integrate complex AI models into scalable production systems.
- Mentorship: Mentor junior researchers and provide technical guidance on research methodologies.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, Physics, or a related field with a focus on AI/ML.
- Experience: 5+ years of professional experience in Deep Learning, NLP, or Computer Vision.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with Hugging Face Transformers and LangChain is highly preferred.
- Mathematical Foundation: Strong grasp of linear algebra, calculus, probability, and statistics.
- Problem Solving: Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or delivering impactful open-source projects.
- Communication: Excellent ability to communicate complex technical concepts to diverse audiences.