Job Description
Are you ready to shape the future of Artificial Intelligence?
Nexus AI Labs is a pioneering technology firm focused on developing next-generation neural networks for autonomous systems. We are looking for a highly skilled Senior Machine Learning Engineer to join our elite R&D team in San Francisco. In this role, you will bridge the gap between theoretical research and production-grade software, deploying models that solve complex real-world problems.
At Nexus AI, we value innovation, transparency, and technical excellence. You will work alongside world-class researchers and engineers, utilizing the latest frameworks to push the boundaries of what's possible in deep learning.
Responsibilities
- Model Development: Design, train, and deploy scalable machine learning models using Python, TensorFlow, and PyTorch.
- System Optimization: Fine-tune existing models for improved accuracy, latency, and resource efficiency.
- Infrastructure: Collaborate with DevOps teams to integrate ML pipelines into cloud environments (AWS/GCP).
- Research: Stay abreast of the latest academic papers and industry trends to implement novel techniques.
- Collaboration: Partner with data scientists and product managers to define technical requirements and deliver impactful features.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Statistics, or a related technical field.
- Experience: 5+ years of professional experience in Machine Learning or Deep Learning engineering.
- Technical Skills: Strong proficiency in Python, SQL, and experience with major deep learning frameworks.
- Mathematics: Solid understanding of linear algebra, calculus, and probability.
- Communication: Excellent verbal and written communication skills for translating complex technical concepts.