
Remote* Senior Manager, Machine Learning Engineer
- Palo Alto, CA
- Permanent
- Full-time
- Lead the strategy, design, and delivery of the AI/ML platform, enabling end-to-end ML lifecycle support.
- Partner with cross-functional stakeholders to define technical roadmaps aligned with business goals.
- Architect scalable, secure, and reliable infrastructure for model training, deployment, and monitoring.
- Establish and drive best practices in MLOps, data governance, model management, and observability.
- Mentor, hire, and grow a high-performing team of engineers focused on ML systems.
- Collaborate with data scientists and ML engineers to deliver production-ready models.
- Ensure compliance with data privacy and security standards.
- Continuously improve platform performance, scalability, and user experience.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 10+ years of experience in software engineering and AI/ML platform development.
- Proven leadership experience in managing and scaling engineering teams.
- Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong proficiency with cloud platforms (AWS, GCP, or Azure), Docker, Kubernetes, and CI/CD practices.
- Deep understanding of MLOps, model lifecycle management, and data governance.
- Strong communication and collaboration skills across technical and non-technical teams.
- Experience with large language models (LLMs), including Retrieval-Augmented Generation (RAG) and agent-based architectures.
- Familiarity with real-time model serving tools such as Seldon, Ray, or AWS SageMaker.
- Knowledge of semantic data modeling and enterprise data integration technologies.
- Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
- Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
- Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
- Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.