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Machine Learning Engineer, Vertex AI
Job Description
As a Machine Learning Engineer on the Vertex AI team, you will be at the forefront of developing and deploying cutting-edge machine learning models and infrastructure. You'll work on a variety of projects, from building scalable training pipelines and optimizing inference services to contributing to novel model architectures. Your work will directly impact Google Cloud's AI offerings, enabling businesses worldwide to leverage the power of machine learning.
**Responsibilities:**
- Design, build, and maintain production-level ML systems and infrastructure.
- Collaborate with researchers and product managers to translate cutting-edge ML research into practical applications.
- Optimize ML models for performance, scalability, and efficiency.
- Develop tools and frameworks to streamline the ML development lifecycle.
**Requirements:**
- Bachelor's or Master's degree in Computer Science, a related technical field, or equivalent practical experience.
- Strong programming skills in Python and experience with ML frameworks like TensorFlow or PyTorch.
- Experience with distributed systems and cloud platforms (e.g., GCP).
- Solid understanding of ML algorithms and principles.
**Benefits:**
- Comprehensive health, vision, and dental insurance.
- 401(k) matching and stock options.
- Generous paid time off and parental leave.
- Opportunities for professional development and continuous learning.
Skills & Tags
machine learningvertex aigcppythontensorflow