GEICO

Staff Machine Learning Engineer

GEICO

full-time

Posted on:

Location Type: Hybrid

Location: New York City • California, Maryland, New York • 🇺🇸 United States

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Salary

💰 $130,000 - $260,000 per year

Job Level

Lead

Tech Stack

AWSAzureCloudDistributed SystemsDockerETLGoogle Cloud PlatformJavaKubernetesPythonPyTorchScikit-LearnSDLCSparkSQLTensorflow

About the role

  • As a Staff Machine Learning Engineer, you will be the overall tech lead of a single AI/Machine Learning team, responsible for the tech design and tech health of the team.
  • You will build and 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.
  • Expected to stay hands-on coding about 70% of the time.
  • 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.
  • 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.

Requirements

  • 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.
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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningsoftware engineeringPythonJavaTensorFlowPyTorchScikit-learnSQLSparkMLOps
Soft skills
leadershipmentoringcollaborationtechnical decision-makingcommunication
Certifications
Bachelor's degreeMaster's degreePh.D.