Senior Staff Machine Learning Engineer

At GEICO we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers expectations while making a real impact for our company through our shared purpose.

When you join our company we want you to feel valued supported and proud to work here. Thats why we offer The GEICO Pledge: Great Company Great Culture Great Rewards and Great Careers.

At GEICO we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers expectations while making a real impact for our company through our shared purpose. When you join our company we want you to feel valued supported and proud to work here. Thats why we offer The GEICO Pledge: Great Company Great Culture Great Rewards and Great Careers

GEICO is seeking a Senior Staff Machine Learning Engineer to help shape how Generative AI enhances customer and associate experiences across the enterprise. This is a hands-on technical role who will be leading the strategy architecture and delivery of ML systems for the Claims organizationdesigning predictive models robust data/feature pipelines and production-grade MLOps to drive measurable business outcomes.
You will work alongside engineering teams data scientists and product leaders to design build and integrate AI-powered capabilities that automate workflows improve decision-making and elevate user experience. You will contribute to a culture of learning curiosity and innovation while growing your expertise in cutting-edge AI technologies

About the role

• Staff individual contributor role focused on end-to-end ML: data and feature engineering modeling deployment monitoring and continuous improvement.
• Partner with Claims Operations Product and Engineering to deliver ML capabilities such as severity/triage predictions claim outcome forecasting and automation accelerators.
• GenAI (e.g. LLMs and agentic workflows) may be leveraged where it augments ML systems; strong ML depth is primary.

What youll do

• Own ML platform architecture: data/feature pipelines experiment tracking model registries serving layers offline/online evaluation and observability.
• Define standards for reliability performance cost efficiency security governance and model risk management across ML services.
• Lead design and implementation of models across classical ML and deep learning (e.g. gradient boosted trees sequence models Transformers for tabular/time-series/NLP where relevant).
• Translate business goals into measurable ML objectives and experiment plans; ensure robust offline metrics and real-world impact.
• Build scalable training and inference pipelines; establish CI/CD for ML automated evaluations canary releases and rollback strategies.
• Implement monitoring for data quality drift fairness latency reliability and cost; lead incident response and postmortems.
• Partner with Claims Product Data Science Platform/SRE Security and Legal/Compliance to gather requirements define scope and prioritize backlogs.
• Maintain pragmatic technical roadmaps balancing business outcomes release timelines and engineering excellence.
• Own build-vs-buy decisions and tooling/service selection (speed to market extensibility TCO); guide platform evolution with clear architectural principles.
• Lead experienced engineers through complex platform implementations; drive system-wide architectural improvements and reliability practices.
• Mentor engineers and junior tech leads; codify best practices; contribute to internal documentation and promote enterprise-wide ML standards.
• Where appropriate collaborate on retrieval-augmented workflows prompt/context management and LLM evaluation and safety guardrails to complement ML systems.

Minimum qualifications

• Bachelors degree or above in Computer Science Engineering Statistics or related field.
• 10 years of professional software development experience using at least two general-purpose languages (e.g. Java C Python C#).
• 10 years architecting designing and building multi-component ML platforms leveraging open-source/cloud-agnostic components:
  • Search/vector: ElasticSearch Qdrant (as applicable to ML features and retrieval)
  • Data warehouse/lakehouse: Snowflake; familiarity with Parquet/Delta/Iceberg
  • Streaming: Kafka; plus Flink/Spark Streaming experience
  • Datastores: PostgreSQL; NoSQL (MongoDB Cassandra)
  • Distributed compute: Spark Ray
  • Workflow orchestration: Airflow Temporal
• 6 years managing end-to-end SDLC for ML systems: version control CI/CD Kubernetes testing (unit/integration/data/ML eval) monitoring/alerting production support.
• 6 years working with cloud providers (Azure and/or AWS) in production ML contexts.

Preferred qualifications (GenAI as a plus)

• Experience leveraging or fine-tuning LLMs (e.g. GPT Llama Mistral Claude) to augment ML workflows retrieval or claims-facing tooling.
• Hands-on with MLOps tooling: MLflow/Kubeflow model registries feature stores (e.g. Feast) experiment tracking A/B testing and online evaluation frameworks.
• Observability: Prometheus/Grafana OpenTelemetry; SLO-driven operations and incident management.
• Model safety fairness explainability (e.g. SHAP/LIME) and regulatory compliance; familiarity with model risk management practices.
• Insurance/financial services domain experience: claims automation fraud detection risk modeling subrogation severity/triage and regulatory stewardship.
• Experience with high-throughput low-latency inference and real-time feature pipelines.

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Annual Salary

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include but are not limited to the scope and responsibilities of the role the selected candidates work experience education and training the work location as well as market and business considerations.

The GEICO Pledge:

Great Company:At GEICO we help our customers through lifes twists and turns. Our mission is to protect people when they need it most and were constantly evolving to stay ahead of their needs.

Were an iconic brand that thrives on innovation exceeding our customers expectations and enabling our collective success. From day one youll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on peoples lives.

Great Careers:We offer a career where you can learn grow and thrive through personalized development programs created with your career and your potential in mind. Youll have access to industry leading training certification assistance career mentorship and coaching with supportive leaders at all levels.

Great Culture:We foster an inclusive culture of shared success rooted in integrity a bias for action and a winning mindset. Grounded by our core values we have an an established culture of caring inclusion and belonging that values different perspectives. Our teams are led by dynamic multi-faceted teams led by supportive leaders driven by performance excellence and unified under a shared purpose.

As part of our culture we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.

Great Rewards:We offer compensation and benefits built to enhance your physical well-being mental and emotional health and financial future.

• Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your familys 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.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race color religious creed national origin ancestry age gender pregnancy sexual orientation gender identity marital status familial status disability or genetic information in compliance with applicable federal state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.