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Urgent! Director of Machine Learning Engineering, Document Intelligence 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.
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 - $300,000.00The 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 Director of Potential: Insight & Career Growth Guide
Real-time Director of Jobs Trends in Palo Alto, United States (Graphical Representation)
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Great news! GEICO is currently hiring and seeking a Director of Machine Learning Engineering, Document Intelligence 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 Director of Machine Learning Engineering, Document Intelligence 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 Director of Machine Learning Engineering, Document Intelligence 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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Here are some tips to help you prepare for and ace your job interview:
Before the Interview: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!
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