Director, Machine Learning Engineering

Posted 3 Hours Ago
Be an Early Applicant
5 Locations
In-Office
150K-300K Annually
Expert/Leader
Insurance
The Role
Lead vision, strategy, and delivery of runtime intelligence and personalization platforms. Build scalable, low-latency systems for context, memory, retrieval (RAG), and real-time inference. Define KPIs, observability, and optimization strategies. Drive cross-functional execution, hire and develop teams, and influence senior stakeholders to deliver AI-powered personalization at scale.
Summary Generated by Built In

Why Join 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 on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.

 

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. 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.

Director – Runtime Intelligence & Personalization 

Overview 

We are seeking a strategic and execution-oriented Director to lead our Runtime Intelligence & Personalization function. This leader will own the vision, strategy, and delivery of intelligent runtime systems that power context-aware, personalized experiences across products and platforms. 

This role sits at the intersection of AI/ML, platform engineering, and product strategy, responsible for building scalable systems that leverage context, memory, and retrieval to deliver differentiated, real-time intelligence. 

 

Key Responsibilities 

Strategy & Vision 

  • Define and execute the roadmap for runtime intelligence capabilities, including context building, memory systems, and RAG-based architectures 

  • Translate business and customer needs into scalable, AI-powered personalization strategies 

  • Partner with executive stakeholders to align runtime intelligence investments with enterprise priorities 

  • Act as a thought leader in shaping next-generation personalization and AI-driven experiences 

Platform & Capability Ownership 

  • Lead development of core runtime capabilities: 

  • Context orchestration and state management 

  • Memory systems (short-term and long-term) 

  • Retrieval systems (RAG, knowledge integration) 

  • Personalization frameworks 

  • Drive design and implementation of high-scale, low-latency systems 

  • Ensure systems are secure, observable, and reliable in production environments 

Observability & Optimization 

  • Establish observability standards across runtime intelligence systems (latency, quality, accuracy, cost) 

  • Define KPIs and metrics to evaluate system performance and business impact 

  • Lead continuous optimization of runtime performance, cost, and response quality 

  • Implement feedback loops for model and system improvement 

Execution & Delivery 

  • Oversee end-to-end delivery of runtime intelligence platforms, ensuring scalability and reliability 

  • Drive cross-functional execution across engineering, data science, and product teams 

  • Manage prioritization, trade-offs, and execution in a complex, fast-paced environment 

Leadership & Team Development 

  • Build, lead, and scale high-performing teams across engineering, ML, and platform functions 

  • Develop talent strategy, including hiring, coaching, and organizational design 

  • Foster a culture of innovation, accountability, and continuous improvement 

  • Lead through senior managers and technical leaders to deliver outcomes at scale  

Cross-Functional Collaboration 

  • Partner with Product, Design, Data, and Infrastructure teams to deliver integrated solutions 

  • Influence senior stakeholders and drive alignment across competing priorities 

  • Communicate complex technical concepts clearly to executive and non-technical audiences 

 

Qualifications 

Required 

  • 10–15+ years of experience in engineering, platform, or AI/ML roles, with significant leadership experience 

  • Proven track record building and scaling distributed systems, AI platforms, or personalization systems 

  • Deep expertise in areas such as: 

  • Retrieval-Augmented Generation (RAG) 

  • Context and memory architectures 

  • Real-time inference systems 

  • Strong business acumen with the ability to translate strategy into execution 

  • Demonstrated success leading large, complex, cross-functional initiatives  

Preferred 

  • Experience with LLMs, generative AI, and agent-based systems 

  • Background in observability, experimentation frameworks, or system optimization 

  • Experience operating in high-scale, customer-facing environments 

 

Core Competencies 

  • Strategic Thinking & Vision 

  • AI/ML & Platform Leadership 

  • Operational Excellence & Execution 

  • Cross-Functional Influence 

  • Talent Development & Leadership 

  • Data-Driven Decision Making 

 


 

Annual Salary

$150,000.00 - $300,000.00

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.

The GEICO Pledge:

Great Company: Protecting customers through life’s twists and turns with innovation and integrity.

Great Careers: Personalized development programs, mentorship, and certification assistance.

Great Culture: Inclusive and collaborative culture rooted in shared success.

Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.

 

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.

Skills Required

  • 10-15+ years of experience in engineering, platform, or AI/ML roles with significant leadership experience
  • Proven track record building and scaling distributed systems, AI platforms, or personalization systems
  • Deep expertise in Retrieval-Augmented Generation (RAG)
  • Expertise in context and memory architectures
  • Experience with real-time inference systems
  • Strong business acumen and ability to translate strategy into execution
  • Demonstrated success leading large, complex, cross-functional initiatives
  • Experience building and scaling engineering and ML teams; talent strategy and organizational design
  • Experience with LLMs, generative AI, or agent-based systems
  • Background in observability, experimentation frameworks, or system optimization
  • Experience operating in high-scale, customer-facing environments

GEICO Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GEICO and has not been reviewed or approved by GEICO.

  • Healthcare Strength Healthcare coverage is described as comprehensive, spanning medical, prescription, behavioral health, dental (including orthodontia), and vision options with multiple plan types. Wellness resources, HSAs/FSAs, and related programs add breadth to the core health offering.
  • Retirement Support Retirement support includes a 401(k) with an employer match, and the match level is still characterized as good even after adjustments. Access to a credit union and financial education tools further strengthens the overall retirement/financial support picture.
  • Flexible Benefits Work-life programs provide flexibility through hybrid scheduling and limited remote-work options, alongside a broad menu of ancillary benefits such as commuter pre-tax programs, employee discounts, and charitable gift matching. Education support via tuition assistance and scholarships adds additional optionality for different needs.

GEICO Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Chevy Chase, MD
26,259 Employees
Year Founded: 1936

What We Do

We know you know GEICO, but we want you to know that with us, you’ll find a rewarding career no matter which path you take. Our over 40,000 associates have been unexpectedly delighted to find that their jobs have turned into illuminating careers. You know us for insurance. Get to know us for great careers, too.

Similar Jobs

In-Office
Frisco, TX, USA
7996 Employees

OCC Logo OCC

Associate, Collateral Services

Big Data • Cloud • Fintech • Information Technology • Financial Services
Hybrid
2 Locations
1200 Employees
59K-78K Annually

Apptronik Logo Apptronik

Test Engineer

Computer Vision • Hardware • Machine Learning • Robotics • Software
Easy Apply
Hybrid
Austin, TX, USA
355 Employees

CrowdStrike Logo CrowdStrike

VP, Americas Alliances & Channels (Remote)

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
5 Locations
10000 Employees
200K-340K Annually

Similar Companies Hiring

Globe Life Thumbnail
Insurance • Financial Services
McKinney, TX
3000 Employees
MassMutual India Thumbnail
Big Data • Fintech • Information Technology • Insurance • Financial Services
Hyderabad, Telangana
Granted Thumbnail
Mobile • Insurance • Healthtech • Financial Services • Artificial Intelligence
New York, New York
23 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account