Job Description
Are you ready to engineer the next generation of artificial intelligence?
Nebula AI Systems is at the forefront of the AI revolution, building scalable solutions that redefine human-machine interaction. We are seeking a visionary Senior Machine Learning Engineer to join our elite technical team in San Francisco. In this role, you will design, implement, and deploy state-of-the-art machine learning models that power our core products.
We offer a competitive compensation package, equity opportunities, and a collaborative environment where innovation is encouraged.
Responsibilities
- Model Development: Design, train, and fine-tune complex machine learning models using deep learning frameworks (TensorFlow, PyTorch).
- Infrastructure Optimization: Optimize existing models for production environments, ensuring high scalability, low latency, and efficient resource utilization.
- Data Pipeline Management: Collaborate with data engineers to build robust data pipelines that ensure high-quality input data for training models.
- Research & Innovation: Stay abreast of the latest research in AI and NLP to integrate cutting-edge techniques into our product suite.
- Deployment: Spearhead the deployment of models using containerization and cloud services (AWS/GCP).
- Mentorship: Guide junior engineers and provide technical mentorship to foster a culture of continuous learning.
Qualifications
- Education: Master’s or Ph.D. degree in Computer Science, Mathematics, Statistics, or a related technical field.
- Experience: 5+ years of professional experience in machine learning engineering or data science.
- Technical Skills: Proficiency in Python, SQL, and experience with deep learning libraries (TensorFlow, Keras, PyTorch).
- Production Experience: Demonstrable experience deploying models to production environments and monitoring their performance.
- Communication: Excellent written and verbal communication skills with the ability to explain complex technical concepts to non-technical stakeholders.