Job Description
Are you ready to shape the future of artificial intelligence? Nexus AI Labs is looking for a visionary Senior Machine Learning Engineer to join our high-impact team in San Francisco. You will be responsible for building scalable architectures and deploying cutting-edge models that solve real-world problems at scale. We offer a culture of innovation, competitive equity, and the opportunity to work with world-class engineers.
Responsibilities
- Design, implement, and deploy production-grade machine learning models.
- Collaborate with cross-functional teams to integrate AI capabilities into existing platforms.
- Optimize model performance for latency and throughput in high-traffic environments.
- Mentor junior engineers and contribute to technical architectural reviews.
- Stay current with SOTA research in NLP and Computer Vision to drive internal innovation.
- Implement robust monitoring, logging, and evaluation frameworks for model health.
Qualifications
- MS or PhD in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience in deep learning or machine learning engineering.
- Expert-level proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
- Solid understanding of cloud infrastructure (AWS/GCP) and containerization tools (Docker/Kubernetes).
- Experience with large-scale data processing pipelines and feature engineering.
- Strong problem-solving skills and ability to thrive in an agile, fast-paced environment.