Job Description
Nexus AI Research Labs is seeking a visionary Senior Machine Learning Engineer to join our core R&D team in San Francisco. We are pushing the boundaries of generative AI and deep learning to solve complex global challenges. If you are passionate about building scalable, high-performance models that impact millions, we want to hear from you.
As a key member of our team, you will bridge the gap between groundbreaking research and production-grade software, working in a fast-paced environment that prizes technical excellence and innovation.
Responsibilities
- Architect and deploy large-scale machine learning models into production environments.
- Collaborate with research scientists to translate experimental prototypes into robust features.
- Optimize model inference performance for low-latency, high-throughput applications.
- Design and maintain data pipelines for model training, validation, and automated retraining.
- Mentor junior engineers and contribute to our internal machine learning engineering best practices.
- Stay current with emerging trends in NLP and Computer Vision to drive product evolution.
- Implement rigorous testing frameworks to ensure model stability and reliability.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in deep learning, software engineering, or ML infrastructure.
- Expertise in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Strong understanding of cloud infrastructure (AWS/GCP) and containerization (Docker, Kubernetes).
- Proven track record of shipping production-scale AI models.
- Strong background in distributed systems and software optimization.
- Excellent analytical, communication, and cross-functional leadership skills.