About Ethos
Ethos was built to make it faster and easier to get life insurance for the next million families. Our approach blends industry expertise, technology, and the human touch to find you the right policy to protect your loved ones.
We leverage deep technology and data science to streamline the life insurance process, making it more accessible and convenient. Using predictive analytics, we are able to transform a traditionally multi-week process into a modern digital experience for our users that can take just minutes! We’ve issued billions in coverage each month and eliminated the traditional barriers, ushering the industry into the modern age. Our full-stack technology platform is the backbone of family financial health.
We make getting life insurance easier, faster and better for everyone.
Our investors include General Catalyst, Sequoia Capital, Accel Partners, Google Ventures, SoftBank, and the investment vehicles of Jay-Z, Kevin Durant, Robert Downey Jr and others. This year, we were named on CB Insights' Global Insurtech 50 list and BuiltIn's Top 100 Midsize Companies in San Francisco. We are scaling quickly and looking for passionate people to protect the next million families!
About the Role
We are looking for a visionary AI Lead with a passion for leveraging artificial intelligence to automate and optimize underwriting processes. The ideal candidate will have a deep understanding of AI/ML techniques, experience with multi-modal data, and a strong background in developing scalable AI solutions.
Duties and Responsibilities:
- Lead the development and implementation of AI-driven solutions to automate underwriting processes.
- Explore and integrate new data sources to enhance the multi-modal underwriting information graph.
- Define, develop, and refine underwriting rules using advanced machine learning and AI techniques.
- Collaborate with data scientists, engineers, and product teams to build and deploy scalable AI models.
- Ensure the accuracy, efficiency, and regulatory compliance of the AI-driven underwriting system.
- Stay updated with the latest advancements in AI/ML and apply best practices to improve the system continually.
- Mentor and guide junior AI team members, fostering a culture of innovation and excellence.
Skills and Qualifications:
- Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
- 5+ years of experience in AI/ML, with a focus on applying these technologies to real-world problems.
- Proven track record in developing and deploying AI solutions in the insurance or financial services industry.
- Strong expertise in machine learning frameworks (TensorFlow, PyTorch, etc.) and programming languages (Python, R, etc.).
- Experience with multi-modal data integration and analysis.
- Excellent problem-solving skills and the ability to think critically about how to achieve business objectives through AI.
- Strong leadership skills with the ability to work effectively in a collaborative team environment.
- Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Experience with underwriting processes and insurance domain knowledge or related fields.
- Familiarity with regulatory requirements in the insurance industry.
- Publications or patents in the field of AI/ML.
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Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace.
We are an equal opportunity employer who values diversity and inclusion and look for applicants who understand, embrace and thrive in a multicultural world. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records.
To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice.
