Job Description
Welcome to the future of technology. Nexus Innovations is pioneering the AI landscape for the 2026 era, and we are seeking a visionary Senior AI Engineer to join our elite team in San Francisco.
In this role, you won't just be building models; you will be architecting the intelligence that will power the next decade of digital interaction. We are looking for a technical leader who thrives on ambiguity and possesses the expertise to turn cutting-edge research into production-ready solutions.
Why Join Us?
- Shape the Future: Work on projects that define the AI standards of 2026 and beyond.
- Top-Tier Compensation: Competitive salary and equity packages.
- Remote-First Culture: Work from anywhere in the US with a modern, collaborative toolkit.
If you are ready to push the boundaries of what is possible in artificial intelligence, apply today.
Responsibilities
- Architect Intelligent Systems: Design, develop, and deploy scalable machine learning and deep learning models for large-scale applications.
- Lead Technical Innovation: Stay ahead of the curve in emerging AI trends, specifically focusing on LLMs, Generative AI, and Reinforcement Learning.
- Model Optimization: Fine-tune existing models and optimize inference pipelines to ensure high performance and low latency.
- Team Mentorship: Guide junior engineers and data scientists, conducting code reviews and fostering a culture of technical excellence.
- Collaborate Cross-Functionally: Partner with product managers and engineering leads to define technical requirements and roadmap AI features.
- Research Implementation: Translate academic research into practical, production-grade software solutions.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Experience: Minimum 5 years of professional experience in software engineering or machine learning.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with cloud platforms (AWS, GCP, or Azure).
- Language Models: Strong background in Natural Language Processing (NLP) and Large Language Model (LLM) architecture.
- Soft Skills: Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Problem Solving: Demonstrated ability to solve complex, unstructured problems in a fast-paced environment.