Machine Learning Systems Research Intern at Red Hat working on AI inference and model optimization techniques. Collaborating with experts in the field while gaining hands - on experience in applied ML research.
About the role
- Staff ML Engineer at GEICO leading the design and deployment of AI applications. Collaborating with teams to ensure scalability and reliability of generative AI solutions.
Responsibilities
- Take responsibility for the 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 & 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.
- Work on first-of-its-kind solutions within GEICO, with a deep understanding of business and technical processes, applications, and architecture to guide development.
- Contribute to 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, fostering a collaborative and high-performance team culture.
Requirements
- 5+ years of experience designing and building scalable production AI/ML applications and systems in cloud environments
- 3+ years owning end-to-end development, monitoring, maintenance, and continuous improvement of scalable, robust AI/ML applications.
- 2+ years of experience with training, finetuning, real-time/batch inferencing, and evaluation systems for AI/ML models and LLMs used in production systems
- Experience with 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 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.
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