Job Description
Join the Future of Intelligence. Nexus Future Technologies is pioneering the next generation of autonomous systems under our flagship initiative, Project 2026. We are looking for a visionary Senior AI Engineer to architect scalable machine learning models that will redefine industry standards.
In this role, you will work at the intersection of deep learning and real-time data processing, directly impacting how millions of users interact with our AI ecosystem. You will lead a team of talented data scientists and engineers, ensuring our models are not only accurate but ethically sound and robust.
Why Project 2026?
- Work on cutting-edge Generative AI and Large Language Models.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a vibrant San Francisco hub.
If you are ready to build the infrastructure of tomorrow, we want to hear from you.
Responsibilities
- Design, train, and fine-tune advanced deep learning models (Transformers, GNNs) for Project 2026.
- Lead the end-to-end machine learning lifecycle, from data ingestion and preprocessing to model deployment and monitoring.
- Collaborate with cross-functional teams to integrate AI models into production-grade applications and APIs.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Optimize model inference latency and resource utilization to ensure high scalability.
- Research and implement state-of-the-art (SOTA) algorithms to stay ahead of industry trends.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
- 7+ years of professional experience in AI/ML engineering, with a proven track record of deploying large-scale models.
- Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
- Strong experience with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes) and cloud platforms (AWS, GCP, or Azure).
- Deep understanding of Natural Language Processing (NLP) and Generative AI architectures.
- Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences.