Sr. Staff Machine Learning Engineer

Base Pay Range$115,000.00/yr – $300,000.00/yrSenior Staff ML EngineerWe are seeking an accomplished Senior Staff ML Engineer who will serve as the technical leader for an AI/Machine learning area. In this individual contributor role, you will drive the design, development, and optimization of advanced AIML systems and platforms, while setting the technical direction for multiple AIML sub‑teams. You will provide hands‑on guidance, ensure architectural excellence, and lead by example to solve complex, large‑scale, cross‑functional problems. This role requires a minimum of 10 years of relevant experience.Key ResponsibilitiesArchitect and implement scalable, high‑performance machine learning platforms and systems capable of processing large data volumes and supporting real‑time decision making and workflows.Design end‑to‑end AIML pipelines—from data ingestion and feature engineering to model training, deployment, and continuous monitoring.Evaluate and integrate cutting‑edge AIML frameworks and libraries to maintain a state‑of‑the‑art technology stack.Act as the tech lead across multiple ML feature teams, setting technical direction and ensuring consistency in design principles and best practices.Provide hands‑on mentorship and guidance during design reviews, code assessments, and performance tuning.Lead by example in tackling complex technical challenges and driving system‑wide architectural improvements.Experiment with and prototype advanced machine learning algorithms and approaches to enhance system performance, model accuracy, and interpretability.Stay abreast of the latest research and industry trends, translating these insights into actionable, production‑level solutions.Contribute to internal technical documentation and share knowledge across teams.Oversee the end‑to‑end lifecycle of machine learning models, ensuring robust testing, deployment, and ongoing monitoring.Develop and implement systems for model monitoring, alerting, and automated retraining to maintain peak performance in production.Ensure adherence to industry standards, security protocols, and regulatory compliance throughout the ML lifecycle.Work closely with data scientists, software engineers, and product teams to seamlessly integrate ML systems into production environments.Translate complex technical concepts into actionable insights for both technical and non‑technical stakeholders.Foster a collaborative environment that encourages innovation and the sharing of best practices across teams.Minimum QualificationsBachelor’s degree in Machine Learning, Computer Science, Statistics, Mathematics, or a related field; an advanced degree (master’s or Ph.D.) is highly desirable.10+ years of hands‑on experience in designing, implementing, and optimizing AIML systems in production environments.Extensive expertise in architecting large‑scale data pipelines, real‑time AIML serving architectures, and managing the end‑to‑end AIML lifecycle.Proven ability to tackle complex technical challenges, innovate through hands‑on experimentation, and set technical standards across teams.Deep proficiency in programming languages such as Python, Java, or similar, with a strong emphasis on coding excellence.Experience with backend distributed systems & tools (e.g., Airflow, DBT, Temporal, Kubernetes) and big‑data technologies (e.g., Spark, MongoDB, Opensearch, Snowflake, Neo4j, Redis).Significant experience working with cloud platforms (AWS, Azure, etc.) and their machine learning services (e.g., SageMaker, Azure ML, AWS Bedrock).Familiarity with frameworks for model interpretability, fairness, and regulatory compliance, ensuring ethical and transparent ML systems.Proficiency in machine learning frameworks such as TensorFlow, PyTorch, Scikit‑learn, Langchain, Langraph, etc.Annual Salary$115,000.00 – $300,000.00The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/annual salary to be offered to the selected candidate, including scope of responsibilities, candidate’s experience, education and training, work location, and market and business considerations.GEICO PledgeGreat CompanyAt GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most. We’re constantly evolving to stay ahead of their needs and continue to exceed our customers’ expectations while enabling our collective success.Great CareersWe offer a career where you can learn, grow, and thrive through personalized development programs, training, certification assistance, and coaching with supportive leaders at all levels.Great CultureWe foster an inclusive culture rooted in integrity, a bias for action, and a winning mindset. Our teams are driven by performance excellence and unified under a shared purpose.Great RewardsComprehensive 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 401(K) savings plan with 6% match, performance and recognition‑based incentives, and tuition assistance.Access to additional benefits such as mental health care, fertility and adoption assistance.Supports flexibility— we provide workplace flexibility and the GEICO Flex program, allowing work from anywhere in the U.S. for up to four weeks per year.Equal Employment Opportunity StatementThe 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. #J-18808-Ljbffr