Position Summary GEICO is seeking an experienced Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and applications powered by Artificial Intelligence and Machine Learning. 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.Position Description The Senior Machine Learning Engineer reports to a Senior Staff Engineering Manager of Document Platform under GEICO Platform Engineering organization. This tech lead works with other engineers to innovate and build a unified and modernized document management system that integrates with multiple business applications to serve critical business processes. You will lead the strategy and execution of the technical roadmap of the document intelligence sub-area of the entire document management platform. The ideal candidate has deep technical expertise in both general AI/ML, Document AI and production-ready software system development.Position Responsibilities As a Senior ML Engineer, you will: <ol><li>Focus on building and operating machine learning models that will be consumed in document management domain contribute to the end-to-end ML system building.</li><li>Coordinate and collaborate with product managers, engineering team members and customers to solve complex problems.</li><li>Leverage open-source frameworks and embrace the cloud native development paradigm.</li><li>Mentor and help coach and strengthen the technical expertise and know-how of our engineering and product community.</li><li>Always push for engineering excellence; Consistently share best practices and improve processes within and across teams.</li></ol>Qualifications <ol><li>Fluency and specialization with at least two modern languages such as Java, Golang, Python or C# including object-oriented design.</li><li>Working knowledge and experience of building data intensive large-scale systems with focus on fault-tolerance and throughput.</li><li>Extensive knowledge and experience in AI/ML models, algorithms, and MLOps best practices.</li><li>Expertise of building enterprise-grade AI/ML products at scale.</li><li>Experience in Document Intelligence related product development.</li><li>Experience building products of micro-services oriented architecture and extensible REST APIs.</li><li>Experience building the architecture and design of new and current systems (architecture, design patterns, reliability, and scaling).</li><li>Fluency in DevOps concepts and best practices in CI/CD pipelines and infrastructure as a code.</li><li>Experience with application performance monitoring tools and performance assessments.</li><li>In-depth knowledge of CS data structures and algorithms.</li><li>Experience with solving analytical problems with quantitative approaches.</li><li>Ability to excel in a fast-paced, startup-like environment.</li><li>Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication).</li></ol>Experience <ol><li>5+ years of professional software development experience on large-scale distributed systems for high-traffic internet applications or business-critical enterprise systems.</li><li>5+ years of building custom AI/ML models with main-stream machine learning algorithms.</li><li>4+ years of experience in open-source frameworks.</li><li>3+ years of experience with AI/ML frameworks like TensorFlow, PyTorch, etc.</li><li>3+ years of experience with MLOps frameworks like MLflow, Kubeflow, etc.</li></ol>Education • Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience.Annual Salary $105,000.00 - $215,000.00 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.At this time, GEICO will not sponsor a new applicant for employment authorization for this position.Benefits: As an Associate, you’ll enjoy our <a href="#">Total Rewards Program</a>* to help secure your financial future and preserve your health and well-being, including: <ul><li>Premier Medical, Dental and Vision Insurance with no waiting period**</li><li>Paid Vacation, Sick and Parental Leave</li><li>401(k) Plan</li><li>Tuition Reimbursement</li><li>Paid Training and Licensures</li></ul>*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.
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Senior Machine Learning Engineer – Document AI
Apply remote type Remote locations San Francisco, CA Seattle, WA time type Full time posted on Posted 30+ Days Ago job requisition id R0052734

Position Summary
GEICO is seeking an experienced Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and applications powered by Artificial Intelligence and Machine Learning. 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.

Position Description
The Senior Machine Learning Engineer reports to a Senior Staff Engineering Manager of Document Platform under GEICO Platform Engineering organization. This tech lead works with other engineers to innovate and build a unified and modernized document management system that integrates with multiple business applications to serve critical business processes. You will lead the strategy and execution of the technical roadmap of the document intelligence sub-area of the entire document management platform. The ideal candidate has deep technical expertise in both general AI/ML, Document AI and production-ready software system development.

Position Responsibilities
As a Senior ML Engineer, you will:

Focus on building and operating machine learning models that will be consumed in document management domain contribute to the end-to-end ML system building.

Coordinate and collaborate with product managers, engineering team members and customers to solve complex problems.

Leverage open-source frameworks and embrace the cloud native development paradigm.

Mentor and help coach and strengthen the technical expertise and know-how of our engineering and product community.

Always push for engineering excellence; Consistently share best practices and improve processes within and across teams.

Qualifications
• Fluency and specialization with at least two modern languages such as Java, Golang, Python or C# including object-oriented design
• Working knowledge and experience of building data intensive large-scale systems with focus on fault-tolerance and throughput
• Extensive knowledge and experience in AI/ML models, algorithms, and MLOps best practices
• Expertise of building enterprise-grade AI/ML products at scale
• Experience in Document Intelligence related product development
• Experience building products of micro-services oriented architecture and extensible REST APIs
• Experience building the architecture and design of new and current systems (architecture, design patterns, reliability, and scaling)
• Fluency in DevOps concepts and best practices in CI/CD pipelines and infrastructure as a code
• Experience with application performance monitoring tools and performance assessments
• In-depth knowledge of CS data structures and algorithms
• Experience with solving analytical problems with quantitative approaches
• Ability to excel in a fast-paced, startup-like environment
• Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)

Experience
• 5+ years of professional software development experience on large-scale distributed systems for high-traffic internet applications or business-critical enterprise systems
• 5+ years of building custom AI/ML models with main-stream machine learning algorithms
• 4+ years of experience in open-source frameworks
• 3+ years of experience with AI/ML frameworks like TensorFlow, PyTorch, etc.
• 3+ years of experience with MLOps frameworks like MLflow, Kubeflow, etc.

Education
• Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience

Annual Salary
$105,000.00 - $215,000.00
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.

At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

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.

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.

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GEICO is seeking an experienced senior machine learning engineer to join our AI department. In this role, you will be a key contributor in building GenAI services & systems that connect complex data ecosystems and AI/ML models to solve real-world challenges. You will be collaborating with a dynamic team of data scientists and ML engineers to build platforms that not only enhance our operational efficiencies but also set new benchmarks in industry innovation. Responsibilities: AI Systems & Platforms: your foremost responsibility will be platform and system building. Work with Data Scientists and ML Engineers to gather requirements, architect, design, and implement a variety of AI/ML platforms ensuring scalability, efficiency, and robustness. Leverage open-source technologies for rapid prototyping & experimentation. Be creative with design, with a laser focus towards business value creation and/or enablement.
The focus of this specific position will be GenAI platforms and capabilities including but not limited to semantic search, prompt & tooling library, workflow management & orchestration, LLM gateway, real-time/proactive response generation, etc.
System Integration: Collaborate with Product, Data Science and Engineering teams to ensure seamless integration of AIML systems with the rest of the engineering systems & channels such as IVR, CRM, Claims, Sales, Mobile on tight SLA and future-proof designs. Come up with integration designs and project plans and work towards on-time releases.
MLOPs: establish SDLC and SRE best practices to ensure stable operations of production AI systems. Lead the evaluation, procurement, and deployment of specialized AI infrastructure components such as GPU clusters and vector databases, balancing cost effectiveness, reliability, scalability, extensibility, etc.
Data Engineering : Develop and maintain data pipelines that source structured and unstructured data from various locations, ensuring data availability and integrity.
Communication: Translate complex findings into understandable insights and present them to peers, leadership, and business stakeholders.
Technical Leadership: Collaborate with cross-functional teams to ensure alignment, efficacy, and timeliness. Define project roadmaps, establish feature backlogs, and lead a small team of ML engineers for implementation.
Qualifications Track record (4+ years) of key/principal contributor roles in designing and implementing production-grade high SLA data-intensive applications & platforms on both CPU and GPU-based infrastructures, preferably related to AIML use cases
4+ years' experience building training, finetuning and evaluation pipelines for AI/ML models (including LLMs) and related training/inferencing infrastructure
4+ years' experience working with a wide variety of backend data systems components such as search engine (e.g. elastic search, vectordbs), data warehouse (e.g. snowflake), streaming platform (e.g. Kafka), relational database (e.g. mysql/postgresql), ETL (spark), workflow management (e.g. Airflow), etc.
4+ years in Python, Java or equivalent programming languages
3+ years' experience with cloud providers such as AWS, Azure and GCP
3+ years of experience building GenAI services & platforms
A master's/PhD degree in Computer Science, Engineering, Statistics or a related field and at least 3 years of relevant work experience or a bachelor's degree in similar fields with at least 5 years of relevant work experience
Annual Salary
$105,000.00 - $230,000.00
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. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. 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.

GEICO's Enterprise Voice team is seeking an experienced Machine Learning Engineer to reimagine our customers' contact center experience. You will help drive our insurance business transformation as we redefine experience for our customers. You will join a team of skilled software engineers as a resident AI/ML expert, supporting multiple AI automation initiatives across the contact center. We are looking for a motivated, high-energy, self-starter and problem solver with a positive attitude, and solid interpersonal and communication skills. Position Description Our Senior Machine Learning Engineer is a mid-level member of the Voice engineering staff ensuring we provide innovative experiences and operational excellence to our contact center agents, supervisors and customers. Our team thrives and succeeds in delivering high-quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge in AI language services, Natural Language Processing and Generative AI. Responsibilities Ability to think creatively to find innovative solutions to complex ill-defined problems
Stay abreast of the latest developments in AI, incorporating new techniques and methodologies into our processes to keep us ahead in the insurance industry
Provides machine learning expertise within a team's functional area
Consistently writes production-ready code with defined standards of readability, maintainability, reliability and testability. Helps junior team members to produce the same.
Participates in the formulation of non-functional requirements
Specifies the design and implementation of software modules based upon system requirements and architectural guidance
Basic Qualifications: Strong foundation in Machine Learning and Artificial Intelligence
Experienced in Natural Language Processing and AI language services
Knowledgeable in Generative AI, Large Language Models, OpenAI APIs, prompt engineering
Familiar with Responsible AI principles, model evaluation and monitoring
Strong Python and SQL programming skills. Experience using Jupyter notebooks or similar tools. Experience with Github or other source code management platforms
Experience building configurable AI/ML data pipelines through the complete ML Ops lifecycle.
Working knowledge of Big Data technologies such as Spark, Data lake, MLflow, Snowflake, Elasticsearch.
Experience with cloud providers, preferably Amazon Web Services and/or Azure
Ability to explain AI/ML concepts to technical and non-technical audience
Ability to coach and guide other engineers in shaping ill-defined data needs into concrete project deliverables
Ability to develop collaborative relationships with multi-functional teams
Preferred Qualifications Generative AI Retrieval Augmented Generation and AI agents
Experience working with chatbots and Conversational AI
Developing omni-channel (voice, chat, SMS) Contact Center solutions including natural language processing and speech-enabled grammar
Experience with Amazon Web Services including Sagemaker, Bedrock, Lambda, S3, Connect, Lex, DynamoDB, API Gateway, CloudWatch
Experience with Machine Learning frameworks and tools like TensorFlow, PyTorch, Scikit-learn.
Familiar with Microservices development, Swagger, Postman
Building test suite and frameworks to automate end to end testing
Experience with open source libraries and frameworks
Experience working in an Agile environment (Scrum, Kanban, SAFe)
Experience 4+ years of hands-on experience in building AI/ML solutions in a production environment
4+ years of professional software development experience
2+ years of experience with architecture and design
2+ years of experience in open source frameworks
1+ years of experience with AWS, GCP, Azure, or another cloud service
1+ years of experience in Natural Language Processing, Generative AI or Language services
Education Bachelor's degree in Computer Science, Information Systems, Engineering or equivalent education or work experience. Master's degree preferred. Annual Salary
$70,000.00 - $230,000.00
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. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. 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.

GEICO is seeking an experienced senior machine learning engineer to join our AI department. In this role, you will be a key contributor in building GenAI services & systems that connect complex data ecosystems and AI/ML models to solve real-world challenges.

GEICO is seeking an experienced senior machine learning engineer to join our AI department. In this role, you will be a key contributor in building GenAI services & systems that connect complex data ecosystems and AI/ML models to solve real-world challenges. You will be collaborating with a dynamic team of data scientists and ML engineers to build platforms that not only enhance our operational efficiencies but also set new benchmarks in industry innovation.

Responsibilities:

AI Systems & Platforms: your  foremost responsibility will be platform and system building. Work with Data Scientists and ML Engineers to gather requirements, architect, design, and implement a variety of AI/ML platforms ensuring scalability, efficiency, and robustness. Leverage open-source technologies for rapid prototyping & experimentation. Be creative with design, with a laser focus towards business value creation and/or enablement.
The focus of this specific position will be  GenAI platforms and capabilities  including but not limited to semantic search, prompt & tooling library, workflow management & orchestration, LLM gateway, real-time/proactive response generation, etc.
System Integration:  Collaborate with Product, Data Science and Engineering teams to ensure seamless integration of AIML systems with the rest of the engineering systems & channels such as IVR, CRM, Claims, Sales, Mobile on tight SLA and future-proof designs. Come up with integration designs and project plans and work towards on-time releases.
MLOPs:  establish SDLC and SRE best practices to ensure stable operations of production AI systems. Lead the evaluation, procurement, and deployment of specialized AI infrastructure components such as GPU clusters and vector databases, balancing cost effectiveness, reliability, scalability, extensibility, etc.
Data Engineering : Develop and maintain data pipelines that source structured and unstructured data from various locations, ensuring data availability and integrity.
Communication:  Translate complex findings into understandable insights and present them to peers, leadership, and business stakeholders.
Technical Leadership:  Collaborate with cross-functional teams to ensure alignment, efficacy, and timeliness. Define project roadmaps, establish feature backlogs, and lead a small team of ML engineers for implementation.
Qualifications     Track record (4+ years) of key/principal contributor roles in designing and implementing production-grade high SLA data-intensive applications & platforms on both CPU and GPU-based infrastructures, preferably related to AIML use cases
4+ years' experience building training, finetuning and evaluation pipelines for AI/ML models (including LLMs) and related training/inferencing infrastructure
4+ years' experience working with a wide variety of backend data systems components such as search engine (e.g. elastic search, vectordbs), data warehouse (e.g. snowflake), streaming platform (e.g. Kafka), relational database (e.g. mysql/postgresql), ETL (spark), workflow management (e.g. Airflow), etc.
4+ years in Python, Java or equivalent programming languages
3+ years' experience with cloud providers such as AWS, Azure and GCP
3+ years of experience building GenAI services & platforms
A master's/PhD degree in Computer Science, Engineering, Statistics or a related field and at least 3 years of relevant work experience or a bachelor's degree in similar fields with at least 5 years of relevant work experience
Annual Salary
$105,000.00 - $230,000.00
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.

At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

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.

GEICO's Enterprise Voice team is seeking an experienced Machine Learning Engineer to reimagine our customers' contact center experience. You will help drive our insurance business transformation as we redefine experience for our customers. You will join a team of skilled software engineers as a resident AI/ML expert, supporting multiple AI automation initiatives across the contact center. We are looking for a motivated, high-energy, self-starter and problem solver with a positive attitude, and solid interpersonal and communication skills. Position Description Our Senior Machine Learning Engineer is a mid-level member of the Voice engineering staff ensuring we provide innovative experiences and operational excellence to our contact center agents, supervisors and customers. Our team thrives and succeeds in delivering high-quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge in AI language services, Natural Language Processing and Generative AI. Responsibilities <ul><li>Ability to think creatively to find innovative solutions to complex ill-defined problems </li><li>Stay abreast of the latest developments in AI, incorporating new techniques and methodologies into our processes to keep us ahead in the insurance industry </li><li>Provides machine learning expertise within a team's functional area </li> <li>Consistently writes production-ready code with defined standards of readability, maintainability, reliability and testability. Helps junior team members to produce the same. </li> <li>Participates in the formulation of non-functional requirements </li> <li>Specifies the design and implementation of software modules based upon system requirements and architectural guidance </li> </ul>Basic Qualifications: <ul> <li>Strong foundation in Machine Learning and Artificial Intelligence </li><li>Experienced in Natural Language Processing and AI language services </li><li>Knowledgeable in Generative AI, Large Language Models, OpenAI APIs, prompt engineering </li><li>Familiar with Responsible AI principles, model evaluation and monitoring </li><li>Strong Python and SQL programming skills. Experience using Jupyter notebooks or similar tools. Experience with Github or other source code management platforms </li></ul> <ul><li>Experience building configurable AI/ML data pipelines through the complete ML Ops lifecycle. </li></ul> <ul><li>Working knowledge of Big Data technologies such as Spark, Data lake, MLflow, Snowflake, Elasticsearch. </li><li>Experience with cloud providers, preferably Amazon Web Services and/or Azure </li><li>Ability to explain AI/ML concepts to technical and non-technical audience </li><li>Ability to coach and guide other engineers in shaping ill-defined data needs into concrete project deliverables </li><li>Ability to develop collaborative relationships with multi-functional teams </li></ul>Preferred Qualifications <ul> <li>Generative AI Retrieval Augmented Generation and AI agents </li><li>Experience working with chatbots and Conversational AI </li><li>Developing omni-channel (voice, chat, SMS) Contact Center solutions including natural language processing and speech-enabled grammar </li><li>Experience with Amazon Web Services including Sagemaker, Bedrock, Lambda, S3, Connect, Lex, DynamoDB, API Gateway, CloudWatch </li><li>Experience with Machine Learning frameworks and tools like TensorFlow, PyTorch, Scikit-learn. </li><li>Familiar with Microservices development, Swagger, Postman </li><li>Building test suite and frameworks to automate end to end testing </li> <li>Experience with open source libraries and frameworks </li><li>Experience working in an Agile environment (Scrum, Kanban, SAFe) </li> </ul>Experience <ul><li>4+ years of hands-on experience in building AI/ML solutions in a production environment </li> <li>4+ years of professional software development experience </li><li>2+ years of experience with architecture and design </li><li>2+ years of experience in open source frameworks </li><li>1+ years of experience with AWS, GCP, Azure, or another cloud service </li><li>1+ years of experience in Natural Language Processing, Generative AI or Language services </li> </ul>Education Bachelor's degree in Computer Science, Information Systems, Engineering or equivalent education or work experience. Master's degree preferred. Annual Salary $70,000.00 - $230,000.00 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. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. 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: <ul> <li>Premier Medical, Dental and Vision Insurance with no waiting period** </li><li>Paid Vacation, Sick and Parental Leave </li><li>401(k) Plan </li><li>Tuition Reimbursement </li><li>Paid Training and Licensures </li></ul> *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.

Position Summary GEICO is seeking an experienced Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and applications powered by Artificial Intelligence and Machine Learning. 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. Position Description The Senior Machine Learning Engineer reports to a Senior Staff Engineering Manager of Document Platform under GEICO Platform Engineering organization. This tech lead works with other engineers to innovate and build a unified and modernized document management system that integrates with multiple business applications to serve critical business processes. You will lead the strategy and execution of the technical roadmap of the document intelligence sub-area of the entire document management platform. The ideal candidate has deep technical expertise in both general AI/ML , Document AI and production-ready software system development. Position Responsibilities As a Senior ML Engineer, you will: •Focus on building and operating machine learning models that will be consumed in document management domain contribute to the end-to-end ML system building. •Coordinate and collaborate with product managers, engineering team members and customers to solve complex problems •Leverage open-source frameworks and embrace the cloud native development paradigm •Mentor and help coach and strengthen the technical expertise and know-how of our engineering and product community •Always push for engineering excellence; Consistently share best practices and improve processes within and across teams. Qualifications •Fluency and specialization with at least two modern languages such as Java, Golang, Python or C# including object-oriented design •Working knowledge and experience of building data intensive large-scale systems with focus on fault-tolerance and throughput •Extensive knowledge and experience in AI/ML models, algorithms, and MLOps best practices •Expertise of building enterprise-grade AI/ML products at scale •Experience in Document Intelligence related product development •Experience building products of micro-services oriented architecture and extensible REST APIs •Experience building the architecture and design of new and current systems (architecture, design patterns, reliability, and scaling) •Fluency in DevOps concepts and best practices in CI/CD pipelines and infrastructure as a code •Experience with application performance monitoring tools and performance assessments •In-depth knowledge of CS data structures and algorithms •Experience with solving analytical problems with quantitative approaches •Ability to excel in a fast-paced, startup-like environment •Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication) Experience •5+ years of professional software development experience on large-scale distributed systems for high-traffic internet applications or business-critical enterprise systems •5+ years of building custom AI/ML models with main-stream machine learning algorithms •4+ years of experience in open-source frameworks •3+ years of experience with AI/ML frameworks like TensorFlow, PyTorch, etc. •3+ years of experience with MLOps frameworks like MLflow, Kubeflow, etc. Education •Bachelor's degree in Computer Science, Information Systems, or equivalent education or work experience Annual Salary $105,000.00 - $215,000.00 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. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. 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: <ul> <li>Premier Medical, Dental and Vision Insurance with no waiting period** </li><li>Paid Vacation, Sick and Parental Leave </li><li>401(k) Plan </li><li>Tuition Reimbursement </li><li>Paid Training and Licensures </li></ul> *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.

GEICO is seeking an experienced senior machine learning engineer to join our AI department. In this role, you will be a key contributor in building GenAI services & systems that connect complex data ecosystems and AI/ML models to solve real-world challenges. You will be collaborating with a dynamic team of data scientists and ML engineers to build platforms that not only enhance our operational efficiencies but also set new benchmarks in industry innovation. Responsibilities: <ul> <li>AI Systems & Platforms: your foremost responsibility will be platform and system building. Work with Data Scientists and ML Engineers to gather requirements, architect, design, and implement a variety of AI/ML platforms ensuring scalability, efficiency, and robustness. Leverage open-source technologies for rapid prototyping & experimentation. Be creative with design, with a laser focus towards business value creation and/or enablement. </li></ul><ul><li>The focus of this specific position will be GenAI platforms and capabilities including but not limited to semantic search, prompt & tooling library, workflow management & orchestration, LLM gateway, real-time/proactive response generation, etc. </li></ul><ul><li>System Integration: Collaborate with Product, Data Science and Engineering teams to ensure seamless integration of AIML systems with the rest of the engineering systems & channels such as IVR, CRM, Claims, Sales, Mobile on tight SLA and future-proof designs. Come up with integration designs and project plans and work towards on-time releases. </li></ul><ul><li>MLOPs: establish SDLC and SRE best practices to ensure stable operations of production AI systems. Lead the evaluation, procurement, and deployment of specialized AI infrastructure components such as GPU clusters and vector databases, balancing cost effectiveness, reliability, scalability, extensibility, etc. </li></ul><ul><li>Data Engineering: Develop and maintain data pipelines that source structured and unstructured data from various locations, ensuring data availability and integrity. </li></ul><ul><li>Communication: Translate complex findings into understandable insights and present them to peers, leadership, and business stakeholders. </li></ul><ul><li>Technical Leadership: Collaborate with cross-functional teams to ensure alignment, efficacy, and timeliness. Define project roadmaps, establish feature backlogs, and lead a small team of ML engineers for implementation. </li></ul>Qualifications <ul> <li>Track record (4+ years) of key/principal contributor roles in designing and implementing production-grade high SLA data-intensive applications & platforms on both CPU and GPU-based infrastructures, preferably related to AIML use cases </li></ul><ul><li>4+ years' experience building training, finetuning and evaluation pipelines for AI/ML models (including LLMs) and related training/inferencing infrastructure </li></ul><ul><li>4+ years' experience working with a wide variety of backend data systems components such as search engine (e.g. elastic search, vectordbs), data warehouse (e.g. snowflake), streaming platform (e.g. Kafka), relational database (e.g. mysql/postgresql), ETL (spark), workflow management (e.g. Airflow), etc. </li></ul><ul><li>4+ years in Python, Java or equivalent programming languages </li></ul><ul><li>3+ years' experience with cloud providers such as AWS, Azure and GCP </li></ul><ul><li>3+ years of experience building GenAI services & platforms </li></ul><ul><li>A master's/PhD degree in Computer Science, Engineering, Statistics or a related field and at least 3 years of relevant work experience or a bachelor's degree in similar fields with at least 5 years of relevant work experience </li></ul>Annual Salary $105,000.00 - $230,000.00 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. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. 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: <ul> <li>Premier Medical, Dental and Vision Insurance with no waiting period** </li><li>Paid Vacation, Sick and Parental Leave </li><li>401(k) Plan </li><li>Tuition Reimbursement </li><li>Paid Training and Licensures </li></ul> *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.

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Machine Learning Engineer Geico Jobs

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