Job Description
At Nexus Future Labs, we aren't just predicting the future; we are engineering it. We are looking for a visionary Senior AI Engineer to lead our flagship project, Project 2026. This role is critical to defining the next generation of autonomous decision-making systems and generative interfaces. If you want to push the boundaries of what is possible in artificial intelligence and leave a lasting legacy, this is your stage.
Why Join Us?
- Shape the 2026 Standard: Work on core technologies that will define the industry roadmap for the coming decade.
- Elite Engineering Culture: Collaborate with world-class researchers and engineers in a state-of-the-art facility.
- Competitive Compensation: Top-tier salary plus performance-based equity grants.
- Flexible Work: Hybrid model based in the heart of San Francisco.
Project 2026 requires a rare blend of theoretical depth and practical engineering prowess. You will be responsible for building scalable machine learning pipelines and deploying large language models into production environments.
Responsibilities
- Architect and implement scalable AI/ML solutions for Project 2026, ensuring high availability and low latency.
- Research and prototype novel algorithms in deep learning and reinforcement learning.
- Collaborate with cross-functional teams (Product, Research, DevOps) to translate business requirements into technical specifications.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Optimize existing models for inference speed and cost-efficiency.
- Stay ahead of the curve by integrating cutting-edge research findings into our production stack.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- Minimum of 5+ years of professional experience in AI/ML engineering.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Strong experience with MLOps tools (Docker, Kubernetes, AWS SageMaker, or similar).
- Deep understanding of Large Language Models (LLMs) and fine-tuning techniques.
- Proven track record of shipping production-grade machine learning systems.