GEICO

3 months ago

Senior Staff Machine Learning Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Senior technical leader responsible for designing and deploying high-performance, multi-system AI/ML platforms and GenAI workflows. Lead architecture decisions, collaborate across data scientists, ML engineers, and product teams, and mentor engineers to deliver scalable GenAI solutions used by thousands of contact-center staff.

Location: Palo Alto, Seattle

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Technical Design & Architecture: Own design, architecture and development of multiple inter-connected high-performance, durable and scalable platform components that collectively power large sets of end-to-end GenAI agentic workflows.
•System & Platform Evaluation: Own technical decisions regarding the selection and evaluation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, future extensibility, etc.
•Cross-functional collaboration: Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs.
•Strategic Planning: Drive the strategic plan and multi-year product roadmaps of software & platform products, ensuring efficient allocation of resources and timely delivery.
•Technical Leadership & Mentorship: Lead teams of engineers for platform implementation; mentor engineers and junior tech leads, promoting AI best practices and documenting guidance.

Pay and Benefits

Salary: USD 150,000 - 300,000 annually

Perks:Health Insurance401kTuition AssistanceRemote Work

Key Requirements

•Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field.
•10+ years of professional software development experience with at least two general-purpose programming languages such as Java, C++, Python or C#.
•10+ years of experience architecting, designing and building multi-component AIML platforms utilizing open-source/cloud-agnostic components (e.g., Elasticsearch/Qdrant, Snowflake, Kafka, PostgreSQL, MongoDB/Cassandra, Spark/Ray, Airflow/Temporal, RPA, context management).
•6+ years’ experience managing end-to-end software development life cycle (version control, CI/CD, Kubernetes, testing, monitoring, production support).
•3+ years’ experience utilizing and/or fine-tuning LLMs (GPT, Llama, Mistral, Claude) to build conversational experiences and/or agentic workflows.

Experience:10+ yearsInsuranceAI/MLGenAICloud

Education:Bachelor's

Skills:CommunicationLeadershipMentoringProblem-solvingTeam collaboration

Languages:English

Tech Stack:JavaC++PythonC#ElasticsearchQdrantSnowflakeKafkaPostgreSQLMongoDBCassandraSparkRayAirflowTemporalKubernetesAzureAWSGPTLlama

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

Senior Staff Machine Learning Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Palo Alto, Seattle

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Technical Design & Architecture: Own design, architecture and development of multiple inter-connected high-performance, durable and scalable platform components that collectively power large sets of end-to-end GenAI agentic workflows.
•System & Platform Evaluation: Own technical decisions regarding the selection and evaluation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, future extensibility, etc.
•Cross-functional collaboration: Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs.
•Strategic Planning: Drive the strategic plan and multi-year product roadmaps of software & platform products, ensuring efficient allocation of resources and timely delivery.
•Technical Leadership & Mentorship: Lead teams of engineers for platform implementation; mentor engineers and junior tech leads, promoting AI best practices and documenting guidance.

Pay and Benefits

Salary: USD 150,000 - 300,000 annually

Perks:Health Insurance401kTuition AssistanceRemote Work

Key Requirements

•Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field.
•10+ years of professional software development experience with at least two general-purpose programming languages such as Java, C++, Python or C#.
•10+ years of experience architecting, designing and building multi-component AIML platforms utilizing open-source/cloud-agnostic components (e.g., Elasticsearch/Qdrant, Snowflake, Kafka, PostgreSQL, MongoDB/Cassandra, Spark/Ray, Airflow/Temporal, RPA, context management).
•6+ years’ experience managing end-to-end software development life cycle (version control, CI/CD, Kubernetes, testing, monitoring, production support).
•3+ years’ experience utilizing and/or fine-tuning LLMs (GPT, Llama, Mistral, Claude) to build conversational experiences and/or agentic workflows.

Experience:10+ yearsInsuranceAI/MLGenAICloud

Education:Bachelor's

Skills:CommunicationLeadershipMentoringProblem-solvingTeam collaboration

Languages:English

Tech Stack:JavaC++PythonC#ElasticsearchQdrantSnowflakeKafkaPostgreSQLMongoDBCassandraSparkRayAirflowTemporalKubernetesAzureAWSGPTLlama

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