Staff Engineer – ML Platform (Performance, Capacity and Efficiency)

GEICO is seeking an experienced Staff Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and applications. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement.

We are seeking a highly motivated and skilled Staff Engineer within our performance, efficiency and capacity organization. This role is within the capacity management platform team, and its goal is to build a full stack platform to address the infrastructure demand, capacity and quota needs of a hybrid cloud environment. The platform would be built using open-source technologies and would be scalable to handle Geico’s growing infrastructure needs. The successful candidate would be involved in leading a large language learning model (LLM) development that captures the data from various sources leveraging event driven architecture offering proactive suggestions to service providers fulfilling infrastructure demands.

Position Responsibilities As a Staff Engineer, you will:

· Provide technical and thought leadership across multiple areas, focusing on the design and implementation of platform development and event-driven microservices.

· Work closely with product leaders, other engineers and partner teams to understand product requirements, build a technical backlog, and develop solutions that align with product vision.

· Architect and develop learning models and their services using Python, and Kafka and related open ML frameworks like TensorFlow and Keras.Strong understanding of machine learning algorithms.

· Define and drive data capture and storage mechanisms using event-driven architecture to gather infrastructure utilization data from various sources and ensure the data is fed into the learning model environment.

· Own and drive one to two machine learning service areas, being accountable for their successful delivery, from design through to production, and ensuring they meet performance, scalability and reliability standards.

· Act as a role model and mentor to senior and junior ML engineers, guiding them in understanding the architecture, design and implementation of systems.

· Maintain excellent communication with Parter teams and leads, articulating technical implementations for various stakeholders, ensuring alignment across teams.

· Proactively explore unknown product requirements and design solutions that meet evolving needs, contributing to the continuous improvement of our platform.

Qualifications

· Deep knowledge of machine learning techniques, particularly in natural language processing (NLP) and predictive modeling with hands-on experience in building, training and deploying language learning models.

· Experience working with machine learning frameworks such as TensorFlow, Py Torch, Spark ML, scikit-learn, or related frameworks and ability to implement and optimize complex models in these environments.

· Experience working with machine learning, ranking infrastructures, and system design.

· Experience with large-scale data processing. Proven ability to handle and process large volumes of data and ability to utilize big data frameworks and tools such as Apache Spark, Hadoop or Kafka for real-time data ingestion and processing.

· Strong programming skills in Python with experience using libraries like NumPy, Pandas and TensorFlow or PyTorch for machine learning and data manipulation.

· Understand open-source databases like MySQL, PostgreSQL, etc., familiar with No-SQL databases like Cassandra, MongoDB, Elasticsearch, etc.

· Strong understanding of web service integration (REST/SOAP) and enterprise middleware integration tiers

· Experience with continuous delivery (CI/CD) and Infrastructure as Code. Knowledge of MLOps practices including the automation of machine learning workflows, build pipelines and model monitoring in production.

· Strong background in data engineering, including experience with ETL pipelines, data lakes, and data warehouses, to ensure the seamless flow of data into ML models.

· Background in using and contributing to open-source machine learning and data processing tools, promoting best practices and innovations within the team.

· Excellent communication skills – needs to be able to lead projects from the front and interact with clients and sponsors on a regular basis

· Experience partnering with engineering teams and transferring research to production

· In-depth knowledge of CS data structures and algorithms

· Experience solving analytical problems with quantitative approaches

· Ability to excel in a fast-paced, startup-like environment

· Willing to work on both fast development and operation environment

Experience

· 6+ years of professional experience in software development focusses on machine learning, platform architecture, data science, pipeline development and maintenance of the big data platforms, software, and network systems

· 4+ years of experience in using open-source frameworks

· 3+ years of experience with architecture and design

· 3+ years of experience with AWS, GCP, Azure, or hybrid data center

Education

· Bachelor's degree in computer science, Information Systems, or equivalent education or work experience

Annual Salary

The 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. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.

Benefits:

As an Associate, you’ll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including:

• Premier Medical, Dental and Vision Insurance with no waiting period**
• Paid Vacation, Sick and Parental Leave
• 401(k) Plan
• Tuition Reimbursement
• Paid Training and Licensures

*Benefits may be different by location.  Benefit eligibility requirements vary and may include length of service.

**Coverage begins on the date of hire. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect.

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.