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Urgent! Sr. Machine Learning Engineer – Context Engineering Job Opening In Palo Alto – Now Hiring GEICO
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most.
We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.
When you join our company, we want you to feel valued, supported and proud to work here.
That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
Position Description
GEICO is seeking an experienced Sr. Staff Machine Learning Engineer to join our AI org.
This person will play key roles for the development of Geico’s virtual assistantplatform that elevates the productivity for 30K+ internal associates and the customer experience for millions of policyholders.
You will be collaborating with a dynamic team of AI and software engineers to design, develop and deploy systems that ensure scalability, reliability and usability of agentic workflows across Geico.
Context engineers build centralized services that ensure seamless ingestion and consumption of internal knowledge and contextual data, giving AI agents comprehensive and up-to-update information to determineoptimal next steps.
The ideal candidate should demonstrate a proven track record of building high performance AI/ML platform & systems, with hands-on experience and deep enthusiasm for Generative AI and related ecosystems.
Responsibilities:
Own developmentof keyplatform components thatpowerend-to-end GenAI agentic workflows.
Examples include knowledge curation & management, search,context management,workflow orchestration, etc.
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 for high impact business use cases.
Establishpragmatic visions & roadmapsthat balance business outcome, product release timelines and engineering excellence.
Contribute to the selection, evaluation, and implementation of software technologies, tools, and frameworks, balancing build vs.
buy, speed to market, maintainability, etc.
Lead a small team of engineers for feature & system implementation.
Troubleshoot and resolve complex software issues, ensuring optimalplatform performance and reliability.
Mentor and guide junior engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture, elevating AI engineering best practices across the company.
Basic Qualifications
5+ years of experience designing and building AIMLplatform and systemsutilizingcomponents such asvectordb(e.g.Qdrant, Milvus, etc.), data warehouse (e.g. snowflake), streaming platform (e.g. Kafka), relational database (e.g.postgressql), knowledge graph (e.g. neo4j), workflow orchestration (e.g. Airflow, Temporal).
Proficientin Python, Java and similar general-purpose programming languages.
3+ years’ experiencemanaging end-to-end software development life cycle (e.g.CICD pipelines,Kubernetes-based deployments, testing, monitoring & alerting, production support etc.) for backend systems and APIs
2+ years’ experience building training, finetuning, real-time/batch inferencing and evaluation systems for AIML models and LLMs, esp.
utilizing GPU-powered infrastructure
Bachelor’s degree or above in Computer Science, Engineering, Statisticsor a related field
PreferredQualifications:
3+ years of experience building enterprise-level semantic knowledge-graph & related capabilities, such as ontology creation, knowledge ingestion, graph queries-based feature engineering, etc.
2+ years’ experienceutilizing and/or finetuning open sourceLLMs, Llama, Mistral, Claude etc.
to build conversational experiences and agentic workflows, esp.
natural-language-based query engines(e.g. text2sql)
Strong communicationand problem-solving skills to excel in dynamic, cross-functional decision-makingenvironments
Annual Salary
$115,000.00 - $230,000.00The 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.
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.
The GEICO Pledge:
Great Company: At GEICO, we help our customers through life’s twists and turns.
Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs.
We’re an iconic brand that thrives on innovation, exceeding our customers’ expectations and enabling our collective success.
From day one, you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives.
Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind.
You’ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.
Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset.
Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives.
Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.
As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.
✨ Smart • Intelligent • Private • Secure
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Unlock Your Sr Machine Potential: Insight & Career Growth Guide
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Great news! GEICO is currently hiring and seeking a Sr. Machine Learning Engineer – Context Engineering to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at GEICO adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Sr. Machine Learning Engineer – Context Engineering Jobs United States varies, but the pay scale is rated "Standard" in Palo Alto. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Sr. Machine Learning Engineer – Context Engineering typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Sr. Machine Learning Engineer – Context Engineering interview at GEICO, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the GEICO's products or services and be prepared to discuss how you can contribute to their success.
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