Job Description
About Nexus 2026: We are not just predicting the future; we are engineering it. As a leader in the 2026 Niche, we specialize in next-generation artificial intelligence and synthetic data environments. We are looking for a visionary Senior AI Engineer to join our elite engineering team in San Francisco.
In this pivotal role, you will design and deploy scalable machine learning models that power our proprietary neural infrastructure. You will work at the intersection of deep learning, distributed systems, and high-performance computing. If you are passionate about pushing the boundaries of what is possible in AI, this is your opportunity to shape the trajectory of our technology.
Responsibilities
- Architect and implement state-of-the-art deep learning models and neural networks tailored for high-scale environments.
- Collaborate with cross-functional teams of data scientists and product managers to translate business requirements into technical solutions.
- Optimize existing algorithms for speed, accuracy, and resource efficiency to handle real-time data streams.
- Mentor junior engineers and conduct code reviews to ensure best practices in Python, PyTorch, and TensorFlow.
- Experiment with cutting-edge research papers to integrate novel techniques into our production pipeline.
Qualifications
- Master’s degree or PhD in Computer Science, Machine Learning, or a related technical field.
- Minimum of 5+ years of professional experience in AI/ML engineering, with a focus on Deep Learning.
- Strong proficiency in Python, PyTorch, TensorFlow, and data manipulation libraries (Pandas, NumPy).
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Proven track record of deploying models into production environments with high availability.
- Excellent problem-solving skills and ability to work in a fast-paced, agile startup environment.