Job Description
Are you ready to architect the future of intelligent systems? Nexus AI Systems is seeking a visionary Senior Machine Learning Engineer to join our core research and development team in San Francisco. You will be at the forefront of building scalable, production-grade AI models that redefine industry standards.
We offer a high-impact environment where your code will directly influence real-world outcomes. If you are passionate about deep learning, neural architecture, and building robust data pipelines, we want to hear from you.
Responsibilities
- Design and deploy state-of-the-art machine learning models into high-traffic production environments.
- Collaborate with cross-functional teams to integrate AI capabilities into our flagship product suite.
- Optimize model inference latency and throughput for large-scale distributed systems.
- Conduct cutting-edge research to solve complex problems in computer vision and natural language processing.
- Mentor junior engineers and champion best practices in MLOps and clean code architecture.
- Analyze massive datasets to extract actionable insights and identify opportunities for model improvement.
Qualifications
- Master's or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in machine learning engineering or data science.
- Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
- Deep understanding of cloud infrastructure (AWS/GCP) and containerization tools (Docker/Kubernetes).
- Experience with distributed computing frameworks such as Apache Spark or Ray.
- Strong background in statistical modeling, linear algebra, and data structures.
- Proven ability to deliver high-quality code in a fast-paced, agile startup environment.