Senior Staff Machine Learning Engineer leading technical architecture for GEICO's AI Agent Platform. Driving innovation and enhancing productivity for internal associates and customers.
About the role
- Director of ML Engineering at Cotality overseeing scaling of ML teams and enhancing Automated Valuation Models. Leading MLOps adoption and driving data strategy within the company.
Responsibilities
- Mentor and scale a dual-discipline team of ML Engineers and Operations specialists.
- Direct the end-to-end lifecycle of custom Automated Valuation Models, from architectural design in GCP to production deployment and real-time inference.
- Drive the adoption of CI/CD for ML (CT - Continuous Training), ensuring robust model versioning, automated testing, and seamless deployment via Vertex AI or GKE.
- Oversee the engineering of automated feature stores and data pipelines.
- Partner with Data Science and Product teams to solve bottlenecks in model latency, throughput, and cost-efficiency.
- Implement sophisticated monitoring frameworks to detect feature drift and model decay.
- Translate complex technical roadmaps into actionable business value for executive leadership and cross-functional partners.
Requirements
- 8+ years of experience in ML or Software Engineering, with at least 3+ years in a dedicated people management role.
- Proven track record of scaling high-output teams and mentoring Staff-level engineers in the analytics or machine learning space.
- Deep hands-on expertise in the full ML lifecycle—from research and algorithm development to feature engineering and distributed data processing.
- Architect-level command of Google Cloud Platform.
- Proficient in leveraging Vertex AI, BigQuery ML, and Dataflow to build cost-effective, high-availability ML infrastructure.
- Specialized experience with Automated Valuation Models (AVM) or high-stakes predictive modeling within Real Estate/FinTech.
- Exceptional ability to bridge the gap between executive strategy and technical execution.
- Strong advocate for MLOps best practices, including CI/CD for machine learning, automated model monitoring, and robust data governance.
- Masterful interpersonal skills with the ability to influence stakeholders at the C-suite level and foster a collaborative environment across cross-functional product and data science squads.
Benefits
- Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
- Up to 16 weeks of fully paid parental leave and a baby stipend.
- Multiple medical plan options with mental health and wellness support offerings.
- 401(k) with company match and vesting after one year.
- $400 annual well-being stipend and tuition assistance up to $5,250.
- Recognition Rewards, Referral bonuses, exclusive discounts and more!
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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.
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