Machine Learning Engineer designing and implementing AI systems focused on Japanese language challenges at Woven by Toyota. Involves technical R&D, system design, and collaboration with cross - functional teams.
About the role
- Staff ML Engineer designing and deploying high-performance AI solutions at GEICO. Collaborating with dynamic teams and mentoring junior engineers to drive innovation in generative AI.
Responsibilities
- Take responsibility for the design, development and maintenance of high-performance AI solutions that utilize agentic workflows to deliver concrete business value for internal stakeholders.
- Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs.
- Establish pragmatic technical visions & roadmaps that balance business outcome, product release timelines and engineering excellence.
- Integrate and build solutions using GEICO AI platform architecture.
- Partner with platform teams to communicate requirements, understand current capabilities and gaps, and contribute to platform 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, ensuring the efficient allocation of resources 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
- 6+ years of experience designing and building scalable production AIML applications and systems in cloud environments.
- Proficient in Python, Java and similar general-purpose programming languages.
- 4 years managing end-to-end software development life cycle (e.g. CICD pipelines, Kubernetes-based deployments, testing, monitoring & alerting, production support etc.) for backend systems and APIs.
- 2 years in training, finetuning, real-time/batch inferencing and evaluation systems for AIML models and LLMs.
- 3 years owning end-to-end development, monitoring, maintenance, and continuous improvement of scalable, robust AIML applications.
- 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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