Job Description
We are seeking a visionary Senior Machine Learning Engineer to join our elite research team in San Francisco. At Nebula AI Labs, we are pushing the frontiers of generative AI and natural language processing. If you are passionate about building scalable, robust systems that impact millions of users, we want to meet you.
Why Join Us?
- Competitive compensation and equity packages.
- Flexible remote and hybrid work options.
- Access to cutting-edge hardware and cloud resources.
- A collaborative culture focused on innovation and mentorship.
Responsibilities
- Design, implement, and optimize state-of-the-art deep learning models for production environments.
- Collaborate with cross-functional teams of data scientists, researchers, and product managers.
- Oversee the full machine learning lifecycle, from data ingestion and feature engineering to model deployment and monitoring.
- Drive technical excellence by conducting code reviews and establishing best practices for MLOps.
- Research and prototype novel algorithms to solve complex scientific and technological challenges.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Extensive experience with Large Language Models (LLMs) and prompt engineering techniques.
- Proven track record of deploying scalable ML systems on cloud platforms (AWS, GCP, or Azure).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.