GEICO

3 months ago

Staff Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

Lead design and development of GEICO’s high-performance AI platform for GenAI workflows, collaborating with data scientists and software engineers to build scalable, durable systems (knowledge management, search, workflow orchestration) and mentor a small engineering team. Responsible for technical leadership, system evaluation, and project planning to deliver scalable ML solutions across contact-center operations.

Location: Palo Alto, Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Technical Design & Implementation: Own design, development and maintenance of high-performance, durable and scalable platform components (knowledge management, search, prompt management, workflow orchestration, action execution systems, logging & tracing, semantic knowledge graph).
•System Evaluation: Contribute to the evaluation and implementation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, maintainability for platform components.
•Cross-functional collaboration: Collaborate with data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs, and establish technical roadmaps.
•Project Planning: Assist in the planning and estimation of software development projects, ensuring efficient allocation of resources and timely delivery.
•Technical Leadership: Lead a small team of engineers for feature implementation, troubleshoot and resolve complex software issues to ensure optimal system performance.
•Mentorship: Mentor and guide junior engineers via code reviews and design sessions, elevating AI engineering best practices across the company.

Pay and Benefits

Salary: USD 130,000 - 260,000 annually

Perks:401kTuition AssistanceRemote Work

Key Requirements

•Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field.
•6+ years of professional software development experience with at least two general-purpose programming languages such as Java, C++, Python or C#.
•6+ years of experience designing and building AIML systems utilizing open-source/cloud-agnostic components such as search engine (e.g. elastic search, Qdrant), data warehouse (e.g. snowflake), streaming platform (e.g. Kafka), relational database (e.g. postgresql), Nosql (e.g. MongoDB, Cassandra), distributed processing (e.g. Spark, Ray), workflow management (e.g. Airflow, Temporal), robotic process automation, context management, etc.
•4+ years’ experience managing end-to-end software development life cycle (version control, CICD pipelines, Kubernetes clusters, testing, monitoring & alerting, production support etc.).
•4+ years’ experience building training, finetuning, real-time/batch inferencing and evaluation systems for AIML models and LLMs, esp. utilizing GPU-powered infrastructure

Experience:6+ yearsAI/MLGenerative AIMachine learningSaaS

Education:Bachelor's

Skills:JavaC++PythonC#ElasticsearchQdrantSnowflakeKafkaPostgreSQLMongoDBCassandraSparkRayAirflowTemporalGPULLMsGPTLlamaMistral

Tech Stack:JavaC++PythonC#ElasticsearchQdrantSnowflakeKafkaPostgreSQLMongoDBCassandraSparkRayAirflowTemporalGPULLMsGPTLlamaMistral

Eligibility

Work Authorization:Sponsorship available.

Company Brief

GEICO

GEICO is a major US auto insurer offering personal auto policies, roadside assistance, and insurance products through direct-to-consumer channels and agents. Known for competitive rates and national advertising, it operates as a subsidiary of Berkshire Hathaway.

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Chevy Chase, United States

Founded: 1936

Website LinkedIn

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GEICO

3 months ago

Staff Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

Location: Palo Alto, Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Technical Design & Implementation: Own design, development and maintenance of high-performance, durable and scalable platform components (knowledge management, search, prompt management, workflow orchestration, action execution systems, logging & tracing, semantic knowledge graph).
•System Evaluation: Contribute to the evaluation and implementation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, maintainability for platform components.
•Cross-functional collaboration: Collaborate with data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs, and establish technical roadmaps.
•Project Planning: Assist in the planning and estimation of software development projects, ensuring efficient allocation of resources and timely delivery.
•Technical Leadership: Lead a small team of engineers for feature implementation, troubleshoot and resolve complex software issues to ensure optimal system performance.
•Mentorship: Mentor and guide junior engineers via code reviews and design sessions, elevating AI engineering best practices across the company.

Pay and Benefits

Salary: USD 130,000 - 260,000 annually

Perks:401kTuition AssistanceRemote Work

Key Requirements

•Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field.
•6+ years of professional software development experience with at least two general-purpose programming languages such as Java, C++, Python or C#.
•6+ years of experience designing and building AIML systems utilizing open-source/cloud-agnostic components such as search engine (e.g. elastic search, Qdrant), data warehouse (e.g. snowflake), streaming platform (e.g. Kafka), relational database (e.g. postgresql), Nosql (e.g. MongoDB, Cassandra), distributed processing (e.g. Spark, Ray), workflow management (e.g. Airflow, Temporal), robotic process automation, context management, etc.
•4+ years’ experience managing end-to-end software development life cycle (version control, CICD pipelines, Kubernetes clusters, testing, monitoring & alerting, production support etc.).
•4+ years’ experience building training, finetuning, real-time/batch inferencing and evaluation systems for AIML models and LLMs, esp. utilizing GPU-powered infrastructure

Experience:6+ yearsAI/MLGenerative AIMachine learningSaaS

Education:Bachelor's

Skills:JavaC++PythonC#ElasticsearchQdrantSnowflakeKafkaPostgreSQLMongoDBCassandraSparkRayAirflowTemporalGPULLMsGPTLlamaMistral

Tech Stack:JavaC++PythonC#ElasticsearchQdrantSnowflakeKafkaPostgreSQLMongoDBCassandraSparkRayAirflowTemporalGPULLMsGPTLlamaMistral

Eligibility

Work Authorization:Sponsorship available.

Company Brief

GEICO

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Chevy Chase, United States

Founded: 1936

Website LinkedIn