• Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role.
United States Jobs Expertini

Director of Machine Learning Engineering, Document Intelligence Job Opening In Palo Alto – Now Hiring GEICO


Job description

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.

Title: Director of Machine Learning Engineering, Document Intelligence

Overview:
GEICO is on a multi-year journey to transform the insurance industry with
Artificial Intelligence.
The Team:The AI Modeling and Research team is part of the AI Org, which is Geico’s strategic investment with the mission to transform Geico into an AI-first company.

AI org is led by Vice President, Head of AI.

AI Org is in the Technology, Product and AI (TPA) org at Geico.

TPA is led by the Chief Technology, Product and AI Officer, who reports to the CEO of Geico.
The Role Purpose: We are looking for a highly experienced Director of Machine Learning Engineering whohas deep insights into ML modeling for document intelligence (signal generation, classification, ranking, fine tuning and more) and can lead a large team to build backend systems to support major use cases (Claims, Services, Underwriting, Sales, Corporate functions) across the company.

The candidate should build close partnerships with product,engineeringand operation leadership across the company.

This role will report directly to the Senior Director of AI Modeling and Research.

Responsibilities:
To be successful in this role, you will need:

  • Lead the strategy, design, and delivery of document intelligence model systems for the whole company, enabling end-to-enddocument understanding for Geico’s businesses.

  • Partner with cross-functional stakeholders to define technical roadmaps aligned with business goals.

  • Architect scalable and reliable model ecosystems for all types of document intelligence use cases.

  • Establish and drive best practices in ML modeling, data organization, model management, and observability.

  • Mentor, hire, and grow a high-performing team of engineers focused on ML modeling.

  • Ensure compliance with data privacy and security standards.

  • Continuously improving system performance, scalability, and user experience.

  • Provide state-of-the-art consultation to the Head of AI and Chief AI Officer with regard to document intelligence technologies.

  • Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or AI/ML.

    Advanced degree in AI/ML is a plus.

  • 10+ years of hands-on experience in AI/ML in a production environment.

  • 4+ years hands-on expertise in AI/ML for document intelligence.

  • 8+ years of experience in Software Engineering Management.

  • Successful leadership experience in managing and scaling engineering teams of size >= 15.

  • Strong communication and collaboration skills across technical and non-technical teams.

  • 4+ years experiences in building cross-functional partnerships with product and business.

  • 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: 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.

  • Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
  • Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
  • Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
  • Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.
  • Required Skill Profession

    Computer Occupations


    • Job Details

    Related Jobs

    PayPal hiring Director, Machine Learning Engineering Job in Chicago, Illinois, United States
    PayPal
    Chicago, Illinois, United States
    PayPal hiring Director, Machine Learning Engineering Job in San Jose, California, United States
    PayPal
    San Jose, California, United States
    ServiceNow, Inc. hiring Senior Director, Machine Learning Engineering Job in Santa Clara, CA, United States
    ServiceNow, Inc.
    Santa Clara, CA, United States
    ServiceNow, Inc. hiring Senior Director, Machine Learning Engineering Job in Santa Clara, CA, United States
    ServiceNow, Inc.
    Santa Clara, CA, United States
    LiquidPiston hiring Director of AI/ Machine Learning Job in Bloomfield, Connecticut, United States
    LiquidPiston
    Bloomfield, Connecticut, United States
    Publicis Groupe hiring Machine Learning Engineering Job in Birmingham, MI, United States
    Publicis Groupe
    Birmingham, MI, United States
    Syntiant hiring Director, Machine Learning Job in Irvine, California, United States
    Syntiant
    Irvine, California, United States
    Hims hiring Director, Machine Learning Job in San Francisco, California, United States
    Hims
    San Francisco, California, United States
    Syntiant hiring Director, Machine Learning Job in Redwood City, California, , United States
    Syntiant
    Redwood City, California, , United States
    Syntiant hiring Director, Machine Learning Job in Irvine, California, , United States
    Syntiant
    Irvine, California, , United States
    Life.Church hiring Director of Engineering - Learning & Development Job in Edmond, Oklahoma, United States
    Life.Church
    Edmond, Oklahoma, United States
    TP-Link North America, Inc. hiring Director of Engineering, Embedded Software Platform and Machine Learning Job in Irvine, CA, United States
    TP-Link North America, Inc.
    Irvine, CA, United States
    TP-Link Systems Inc. hiring Director of Engineering, Embedded Software Platform and Machine Learning Job in Irvine, California, , United States
    TP-Link Systems Inc.
    Irvine, California, , United States
    Unissant hiring Artificial Intelligence/ Machine Learning Developer Job in Ashburn, Virginia, United States
    Unissant
    Ashburn, Virginia, United States
    BMO Financial Group hiring Machine Learning / Artificial Intelligence Engineer Job in Chicago, IL, United States
    BMO Financial Group
    Chicago, IL, United States
    BMO Financial Group hiring Machine Learning / Artificial Intelligence Engineer Job in San Francisco, CA, United States
    BMO Financial Group
    San Francisco, CA, United States
    BMO Financial Group hiring Machine Learning / Artificial Intelligence Engineer Job in New York, NY, United States
    BMO Financial Group
    New York, NY, United States
    Apple hiring Machine Learning Engineer, OS Intelligence Job in Cupertino, CA, United States
    Apple
    Cupertino, CA, United States
    Apple hiring Machine Learning Engineer, OS Intelligence Job in Cupertino, CA, United States
    Apple
    Cupertino, CA, United States
    Apple hiring Machine Learning Engineer, OS Intelligence Job in Cupertino, CA, United States
    Apple
    Cupertino, CA, United States
    United Airlines hiring Machine Learning Engineering Manager Job in Chicago, Illinois, United States
    United Airlines
    Chicago, Illinois, United States
    Warner Bros Discovery hiring Manager, Machine Learning Engineering Job in Manhattan, New York, United States
    Warner Bros Discovery
    Manhattan, New York, United States
    United Airlines hiring Machine Learning Engineering Manager Job in Chicago, IL, United States
    United Airlines
    Chicago, IL, United States
    V2Soft hiring Machine Learning Engineering Engineer Job in Allen Park, Michigan, , United States
    V2Soft
    Allen Park, Michigan, , United States

    Unlock Your Director of Potential: Insight & Career Growth Guide


    Real-time Director of Jobs Trends (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Director of in Palo Alto, United States, highlighting market share and opportunities for professionals in Director of roles.

    111880 Jobs in United States
    111880
    101 Jobs in Palo Alto
    101
    Download Director Of Jobs Trends in Palo Alto and United States

    Are You Looking for Director of Machine Learning Engineering, Document Intelligence Job?

    Great news! is currently hiring and seeking a Director of Machine Learning Engineering, Document Intelligence to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

    The Work Culture

    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:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying United States laws and regulations

    What Is the Average Salary Range for Director of Machine Learning Engineering, Document Intelligence Positions?

    The average salary range for a 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.

    What Are the Key Qualifications for Director of Machine Learning Engineering, Document Intelligence?

    Key qualifications for Director of Machine Learning Engineering, Document Intelligence typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

    How Can I Improve My Chances of Getting Hired for Director of Machine Learning Engineering, Document Intelligence?

    To improve your chances of getting hired for Director of Machine Learning Engineering, Document Intelligence, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

    Interview Tips for Director of Machine Learning Engineering, Document Intelligence Job Success

    GEICO interview tips for Director of Machine Learning Engineering, Document Intelligence

    Here are some tips to help you prepare for and ace your Director of Machine Learning Engineering, Document Intelligence job interview:

    Before the Interview:

    Research: Learn about the GEICO's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

    Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

    Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

    Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

    Follow Up: Send a thank-you email to the interviewer within 24 hours.

    Additional Tips:

    Be Yourself: Let your personality shine through while maintaining professionalism.

    Be Honest: Don't exaggerate your skills or experience.

    Be Positive: Focus on your strengths and accomplishments.

    Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

    Turn Off Phone: Avoid distractions during the interview.

    Final Thought:

    To prepare for your Director of Machine Learning Engineering, Document Intelligence 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.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

    How to Set Up Job Alerts for Director of Machine Learning Engineering, Document Intelligence Positions

    Setting up job alerts for Director of Machine Learning Engineering, Document Intelligence is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!