Machine Learning Engineer II
GEICO
Bethesda, Maryland
Full-Time
$105,000
RemoteManager
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.
When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
DUTIES: Design, implement, and deploy end-to-end machine learning solutions. Leverage expertise in machine learning, software engineering, and system architecture to independently drive the development of production-ready models. Work closely with cross-functional teams, from product and business units to data scientists, ensuring seamless integration of ML models into business-critical applications. Independently design, implement, deploy, and maintain machine learning models and components that solve real-world business problems in close collaboration with the Product, Business units, and 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. Collaborate with PM, Design, Product Engineering, and Data Science teams to ensure end-to-end business impact. May require pre-hire technical screen. Hybrid Work Policy - 3 days in office, 2 days work from home - Must be able to report to local office. Multiple positions open. Salary $105,000 to $215,000 per year.
REQUIREMENTS: Bachelor’s degree in Machine Learning, Computer Science, Statistics, Mathematics, or a related quantitative field. Two (2) years of experience as a Software Engineer, or related occupation. Two (2) years of experience with: Developing and deploying machine learning models in production environments, with expertise in a variety of ML techniques; Writing production-grade code and creating APIs using frameworks such as TensorFlow, PyTorch, or Scikit-learn; Cloud-based environments and familiarity with containerization and orchestration tools; Building data processing and ML workflow pipelines using SQL, Spark, and Python scripting; Utilizing distributed computing frameworks and large-scale data processing tools; ML algorithm foundations; Engineering skills to develop production ML/AI systems; Transforming business problems into ML/AI problems; Advanced machine learning algorithms and techniques, including supervised, unsupervised, and generative models; Python; ML frameworks, such as TensorFlow, Keras, and PyTorch; Software development best practices, such as CI/CD, containerization, and version control; Cloud platforms (AWS, Azure, GCP) and ability to leverage them for scalable and efficient ML solutions; and Data engineering concepts, including building scalable ETL pipelines, working with big data tools (Spark, Kafka), and ensuring smooth data flow for ML workflows.
TO APPLY: Visit, https://careers.geico.com/
The GEICO Pledge:
Great Company: At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs.
We’re an iconic brand that thrives on innovation, exceeding our customers’ expectations and enabling our collective success. From day one, you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives.
Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind. You’ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.
Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.
As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.