GEICO · 1 day ago
Staff Machine Learning Engineer
New York, NY
Full-time
Hybrid
Senior Level, Lead/Staff
$130K/yr - $260K/yr
5+ years expGEICO is a leading insurance company that offers a rewarding career where ambitions are met with endless possibilities. They are seeking a Staff Machine Learning Engineer to lead the strategy, architecture, and delivery of ML systems for the Claims organization, focusing on designing predictive models and integrating AI-powered capabilities to enhance customer experiences.
Auto InsuranceFinancial ServicesGovernmentInsuranceInternetMobile
Responsibilities
Work on the 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
Qualification
Required
Bachelor's degree or above in Computer Science, Engineering, Statistics, or related field
5+ years of professional software development experience using at least two general-purpose languages (e.g., Java, C++, Python, C#)
5+ 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
5+ years managing end-to-end SDLC for ML systems: version control, CI/CD, Kubernetes, testing (unit/integration/data/ML eval), monitoring/alerting, production support
5+ years working with cloud providers (Azure and/or AWS) in production ML contexts
Preferred
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
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.
Company
GEICO
GEICO, Government Employees Insurance Company, has been providing affordable auto insurance since 1936. It is a sub-organization of Berkshire Hathaway.
10001+ employees
H1B Sponsorship
GEICO has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (128)
2024 (277)
2023 (338)
2022 (212)
2021 (148)
2020 (205)
Funding
Current Stage
Late StageTotal Funding
unknown1996-01-01Acquired
Leadership Team
Todd Combs
Chairman, President, and Chief Executive Officer
Clayton Johnson
Sr. Director of Product Management
Recent News
Business Wire
2026-01-07
2025-12-15
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