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We saw a problem within the life insurance industry: getting covered took too long, involved too much paperwork, and required too many in-person meetings with sales agents. Having lost his father at a young age, our CEO, Jamie, was determined to make it easier for people to get the coverage they needed to provide for their families. So, we got to work. We developed a method of real-time underwriting and, in doing so, reduced the months-long process of applying for life insurance to minutes. Our digital experience is quick (instant decisions!), loved by users (check out our Trustpilot or Google reviews) and prolific ($74 billion in coverage provided).
As a Staff Machine Learning Engineer at Ladder, you're an integral part of our engineering team playing a critical role in designing, developing and deploying advanced machine learning models to transform the life insurance industry. This role demands a blend of technical mastery, leadership skills and a visionary approach to addressing complex, open-ended problems with robust, extensible systems.
It's great if you're familiar with these technologies but at Ladder we believe general technical proficiency is more important than knowledge of specific technologies.
Check out our Company Values to learn more about who we are. We are passionate about:
Whether you work in our beautiful office in Palo Alto or remotely, Ladder is highly collaborative and fun. To support you in your role, we offer fantastic perks and benefits that reflect our mission of care and support, including:
This role is mapped to the job level of L6 and thus the base pay range targeted for this position is $173,000 - $221,000 per year. Base pay is determined by market location and may vary depending on job-related knowledge, skills, and experience. This role is eligible for equity and benefits as shared above.
Ladder is building a diverse team of talented and enthusiastic people. We are an equal opportunity workplace. At Ladder, differences are celebrated and supported to benefit our people, product, and community. Let us know why you're interested in this position and what unique contributions you can make to the Ladder team. We look forward to hearing from you.
Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria – unlike majority candidates meeting significantly fewer requirements. We strongly encourage you to apply if you’re interested: we'd love to know how you can elevate our team with your unique experience!
By clicking "Submit Application," you acknowledge that you have read and agree to the Ladder Job Applicant Privacy Policy and Notice at Collection.
Full Time
IT Outsourcing & Consulting
$119k-148k (estimate)
11/16/2023
04/29/2024
deladder.com
FRANCONIA, VA
<25
2016
VICTOR RODRIGUEZ
<$5M
IT Outsourcing & Consulting
The job skills required for Staff Machine Learning Engineer include Machine Learning, Algorithms, Computer Science, AWS, Software Development, Docker, etc. Having related job skills and expertise will give you an advantage when applying to be a Staff Machine Learning Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Staff Machine Learning Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Staff Machine Learning Engineer positions, which can be used as a reference in future career path planning. As a Staff Machine Learning Engineer, it can be promoted into senior positions as a Principal AI Engineer that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Staff Machine Learning Engineer. You can explore the career advancement for a Staff Machine Learning Engineer below and select your interested title to get hiring information.