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Senior Staff Machine Learning Engineer

Geico

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Location:
United States , Chevy Chase, MD ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

140000.00 - 300000.00 USD / Year
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Job Description:

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 organization—designing 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

Job Responsibility:

  • 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

Requirements:

  • Bachelor’s 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
  • 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

Nice to have:

  • 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
What we offer:
  • 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

Additional Information:

Job Posted:
February 21, 2026

Expiration:
February 23, 2026

Employment Type:
Fulltime
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