GEICO · 8 hours ago
Staff Machine Learning Engineer
New York, NY
Full-time
Hybrid
Senior Level, Lead/Staff
$130K/yr - $260K/yr
6+ years expGEICO is a leading insurance company that values innovation and customer satisfaction. They are seeking a Staff Machine Learning Engineer to lead an AI/Machine Learning team, responsible for designing scalable solutions and overseeing the complete lifecycle of machine learning models.
Auto InsuranceFinancial ServicesGovernmentInsuranceInternetMobile
Responsibilities
Architect scalable and reliable AIML solutions that align with the company's tech paved path and stakeholder requirements
Develop and implement Software Development Lifecycle (SDLC) best practices for machine learning projects, ensuring scalable, secure, and reliable systems from model development to production deployment
Define the product roadmap for machine learning solutions and establish feature backlogs
Prioritize key ML features in collaboration with product managers, aligning them with business objectives and technical feasibility
Debug and troubleshoot model performance issues, track key metrics, and continuously enhance model reliability, speed, and efficiency in production environments
Own the complete lifecycle of ML models, including monitoring, retraining, finetuning and managing versions of models to ensure they continue to meet business needs over time
Guide and mentor machine learning engineers, promote best practices in software engineering, model development, and deployment
Lead technical decision-making processes and foster collaboration within the team
Qualification
Required
Bachelor's degree in Machine Learning, Computer Science, Statistics, Mathematics, or a related field; an advanced degree (master's or Ph.D.) is highly desirable
At least 6 years of hands-on experience in machine learning and software engineering
Deep proficiency in programming languages such as Python, Java, or similar, with a strong emphasis on coding excellence
Proficiency in AIML frameworks such as TensorFlow, PyTorch, Scikit-learn, Langchain, langraph, etc
Experience with SQL, Spark, and scripting languages such as Python for data processing and model development
Expertise in cloud platforms (AWS, Azure, GCP) and containerization technologies such as Docker, as well as orchestration tools like Kubernetes
Proven experience in deploying machine learning systems in a production environment, ensuring scalability, reliability, and high availability
Extensive experience with object-oriented design (OOD), design patterns, and writing clean, maintainable code
Solid understanding of distributed systems and the challenges associated with scaling machine learning models in production
Expertise in implementing MLOps practices, including setting up continuous integration (CI), continuous delivery (CD), automated testing, and deployment pipelines for machine learning models
Strong understanding of system architecture, performance optimization, and the ability to design fault-tolerant systems that handle large-scale data and high-volume requests
Experience designing, building, and maintaining ETL pipelines, streamlining data collection, transformation, and storage for model development
Proficient in containerizing applications using Docker and managing deployment and scaling using Kubernetes or similar orchestrators
Experience setting up monitoring and logging systems for tracking model performance in production environments and ensuring efficient resource utilization
Preferred
3 years interfacing directly with internal business stakeholders and/or external stakeholders on AIML initiatives
Working experience with cloud provider solutions such as Azure and AWS
Experience utilizing both open source (e.g. llama, Qwen, Mistral) and proprietary (e.g. GPT, Claude) LLMs for appropriate tasks
Experience with tools that power LLM-based AI agents: eval frameworks, agent tooling, RAG pipelines, prompt engineering, etc
Experience building LLM-based AI agent workflows via both no code/low code and traditional high-code development environments
Experience in ideating, integrating, and designing applications and frontends using React or similar
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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