Staff Machine Learning Engineer developing the next generation of AI Agent OS and SDKs for GEICO. Key responsibilities include architecting scalable systems and implementing observability frameworks.
About the role
- Senior Staff ML Engineer serving as a technical leader for Generative AI applications at GEICO. Collaborating with engineers to design and develop high-performance AI solutions.
Responsibilities
- Own end-to-end design, development, and maintenance of high-performance AI solutions that use agentic workflows to deliver concrete business value for internal stakeholders and customer-facing applications.
- Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, and designers to gather requirements, define project scope and prioritize feature development.
- Establish pragmatic technical visions and roadmaps that balance business outcomes, product release timelines, and engineering excellence.
- Integrate and build solutions using GEICO’s AI platform architecture.
- Partner with platform teams to communicate requirements, understand current capabilities and gaps, and contribute to platform feature roadmaps and development.
- Ideate, define, and build first-of-its-kind solutions within GEICO, with a deep understanding of business and technical processes, applications, and architecture to guide development.
- Drive the selection, evaluation, and implementation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, maintainability, etc.
- Take ownership in project planning and stakeholder management, driving technical alignment, ensuring efficient resource allocation, and timely delivery of solutions.
- Mentor and guide junior engineers via code reviews and design sessions, establish and enforce best practices, and foster a collaborative and high-performance team culture.
Requirements
- 8+ years of experience designing and building scalable production AI/ML applications and systems in cloud environments
- 5+ years owning end-to-end development, monitoring, maintenance, and continuous improvement of scalable, robust AI/ML applications.
- 5+ years of experience with training, finetuning, real-time/batch inferencing, and evaluation systems for AI/ML models and LLMs used in production systems
- 5+ years of experience managing the end-to-end software development life cycle (e.g. CI/CD pipelines, Kubernetes-based deployments, testing, monitoring & alerting, production support etc.) for Generative AI applications, backend systems, and APIs
- Experience using frameworks to build LLM-based agentic workflows such LangSmith/LangGraph or similar
- Experience using typical agentic communication standards such as A2A, MCP, and similar to design, architect, and build working multi-agent applications
- Proficient in Python, Java or similar general-purpose programming languages.
- Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field.
Benefits
- 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.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Senior Staff Machine Learning Engineer leading technical architecture for GEICO's AI Agent Platform. Driving innovation and enhancing productivity for internal associates and customers.
Senior Machine Learning Engineer at Bumble developing scalable AI systems for personalized user interactions. Leading machine learning model development and deployment from exploration to production.
Lead Machine Learning Engineer at Bumble shaping user connections through machine learning. Driving end - to - end AI solutions while mentoring engineers in a hybrid work environment.
Designing and operating cloud - based MLOps capabilities supporting analytical and generative AI models. Collaborating with data science and business teams for high - impact AI solutions.
Machine Learning Engineer analyzing data structures and developing ML models for customer profiling in Azerbaijan. Collaborating on probabilistic modeling and data quality improvement.
Machine Learning Engineer at HackerRank working on integrity systems to improve model quality. Collaborating on strategies for new signals like audio analysis and behavioral anomalies.
Machine Learning Engineer developing integrity systems for assessing model quality at HackerRank. Collaborating on multimodal signal processing and improving model performance.
Architect designing enterprise - grade AI/ML architectures for Quantiphi. Leading AI applications and ML strategy with a focus on scalability, security, and integration.
Software Engineer for ML Infrastructure at Slack, architecting systems to support large scale AI deployment and reliability. Engage in deep systems engineering focusing on ML lifecycle and infrastructure scalability.