Machine Learning Engineer at Ladder

We founded Ladder to transform the life insurance industry, which has historically been defined by slow, paper-heavy processes and unnecessary in-person meetings. Our mission is to provide families with the coverage they need through a digital-first approach that offers instant decisions. Having already provided over $74 billion in coverage, we are looking for a Senior Machine Learning Engineer to join our team and help us continue to innovate in this space. This is a full-time, remote position available to residents of AZ, CA, CO, CT, FL, GA, KS, MA, MD, MN, NC, NH, NJ, NV, NY, OH, OR, PA, TX, WA, and WI.

Key outcomes

• Design, develop, tune, and deploy machine learning models that enhance our life insurance products and customer experience.
• Partner with data scientists and engineers to construct and maintain robust data pipelines and infrastructure.
• Collaborate with cross-functional teams to identify business needs and translate them into effective machine learning solutions.
• Monitor the performance of deployed models, making adjustments as needed to ensure accuracy and reliability.
• Stay informed on the latest research and industry trends to drive technical innovation across our platform.

Requirements

• At least 3 years of professional experience in machine learning, with a focus on building and launching production-ready models.
• 3+ years of software development experience, including a strong grasp of data structures and algorithms.
• A Bachelor of Science in Computer Science or an equivalent technical field.
• Proficiency in relevant technologies, such as Python, BigQuery, and machine learning frameworks.
• Ability to work effectively in a collaborative, fast-paced environment.

Preferred qualifications

• Experience working in highly regulated industries such as insurance, finance, healthcare, or pharmaceuticals.
• Advanced degrees, such as an MS or PhD, in Computer Science or a related technical discipline.
• Full-stack development experience with exposure to front-end frameworks.

Compensation

The target base salary range for this position is $125,000 to $168,000 per year. In addition to base pay, we offer a comprehensive benefits package designed to support your well-being and long-term success, including:

• Medical, dental, and vision insurance coverage.
• A 401k retirement plan with a company match.
• Stock options to ensure you share in our collective success.
• Flexible paid time off.
• Commuter benefits and support for remote work, including stipends for home office expenses.

How to apply

We are committed to building a diverse and inclusive team and encourage you to apply even if you do not meet every single requirement listed. Please submit your application by sharing your interest and highlighting the unique contributions you would bring to our team. We look forward to reviewing your background.