GEICO · 16 hours ago
Senior Machine Learning Engineer Document Intelligence
Palo Alto, CA
Full-time
Hybrid
Mid, Senior Level
$115K/yr - $230K/yr
6+ years expGEICO is a leading insurance company that offers quality coverage to millions of customers. They are seeking a Senior Machine Learning Engineer to lead the design, development, and deployment of advanced machine learning models, mentor junior engineers, and ensure model robustness and performance in production systems.
Auto InsuranceFinancial ServicesGovernmentInsuranceInternetMobile
Responsibilities
Design and implement machine learning models & components that solve real-world business problems in close collaboration with the Product, Business units & Data Science teams
Write production-grade code for ML models as services and APIs
Collaborate with cross-functional teams, including data engineering and software development, to integrate machine learning models into production systems
Build and maintain scalable data processing workflows and model deployment infrastructure
Debug and resolve model performance issues, track relevant metrics, and implement continuous improvements to ensure model accuracy and reliability
Keep up with the latest ML tooling and communities
Lead the design and implementation of complex machine learning models across various business units
Architect and develop scalable infrastructure for automated model training, hyperparameter tuning, and deployment
Mentor and guide junior engineers, collaborating closely with machine learning engineers to optimize and refine models
Own the end-to-end systems for model monitoring, maintenance, and retraining to ensure high availability and performance
Qualification
Required
B.Sc. in Machine Learning, Computer Science, Statistics, Mathematics, or related quantitative field
6+ year of experience applying machine learning techniques (e.g. Ensemble learning, deep learning, reinforcement learning, NLP etc.)
6+ years of experience with SQL, Spark and scripting languages like Python
6+ years of experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
4+ years of experience working with cloud platforms and environments like AWS, Microsoft Azure, Databricks, and Kubernetes
4+ years of experience applying machine learning techniques in a production environment for business solutions
Strong foundation in and deep understanding of advanced machine learning algorithms including supervised and unsupervised learning techniques as well as familiarity generative models
Proficiency in statistical modeling including probability theory & hypothesis testing to be able to interrogate, analyze and interpret data effectively
Strong programming skills such as proficiency in Python and experience with machine learning frameworks such as TensorFlow, Keras, and PyTorch
Familiarity with software development best practices, including CI/CD pipelines, containerization (e.g., Docker), and orchestration (e.g., Kubernetes)
Deep understanding of MLOps practices, including model versioning, A/B testing, and continuous deployment
A deep understanding of cloud computing platforms such as Azure, AWS or GCP, a deep understanding distributed systems and familiarity with large-scale data processing technologies (e.g., Spark, Kafka)
Proven experience in leading machine learning projects, managing stakeholders, and scaling machine learning solutions in production environments
Excellent communication skills, capable of presenting complex technical topics to both technical and non-technical audiences
Exceptional problem-solving and analytical skills with a focus on continuous improvement and innovation
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
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