Senior Deep Learning Architect, Gen AI Innovation Center - job 2 of 2

About Ladder 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).About the roleWe’re hiring a Machine Learning Engineer to join our team and help us reimagine life insurance. The ideal candidate will have a deep understanding of machine learning algorithms and techniques, as well as experience in software development and data engineering. You will be responsible for designing, developing, tuning and deploying machine learning models to solve challenging problems in the life insurance industry. This role can be fully remote and Ladder is able to hire in the following 20 States: AZ, CA, CO, CT, FL, GA, KS, MA, MD, MN, NC, NH, NJ, NV, NY, OH, OR, PA, TX, WI. Please note, we are not able to sponsor or transfer Visa's at this time.Responsibilities• Design, develop, tune and deploy machine learning models to improve the life insurance experience for our customers• Work with data scientists and engineers to build and maintain data pipelines and infrastructure• Collaborate with cross functional partners to understand their needs and develop machine learning solutions to meet those needs• Monitor and evaluate the performance of machine learning models and make necessary adjustments• Stay up-to-date on the latest machine learning research and trends, utilize emerging technologies to address business issues through technical innovationRequirements• 3+ years of work experience in machine learning, specifically building and launching production models• 3+ years of software development in one or more programming languages with basic data structures/algorithms knowledge• Full-stack development with some exposure to front-end frameworks a plus• 2+ years in a highly regulated environment such as healthcare, finance, insurance or pharmaceuticals a big plus• BSCS or equivalant required. MS or PhD in Computer Science or related technical field a plusTechnologiesIt's great if you're familiar with these technologies but at Ladder we believe general technical proficiency is more important than specific technologies knowledge.• Frontend: Clojurescript, React, GraphQL• Backend: Clojure, JVM• Infrastructure: Kafka, Docker, Kubernetes, Packer, Terraform, GCP• Data: BigQuery, Tableau, BEAM• ML: Python, BQMLOur engineering culture & valuesCheck out our Company Values to learn more about who we are. We are passionate about:• Bottom-up leadership: teams are most successful when everybody shares their ideas, comfortable that they'll be seriously considered. engineers can and should provide product & business insights.• Shipping fast without breaking things: we've invested heavily in engineering tooling that provides guardrails without getting in your way. We believe in shipping MVPs & iterating quickly rather than waiting for perfection to ship.• Investing in automation: automating repetitive tasks saves time and reduces errors. We're always on the lookout for manual workflows to automate away.• Continuous improvement: we learn from our past wins & losses by conducting blameless retros.What we OfferWhether 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:• Excellent medical, dental, and vision coverage | We offer competitive healthcare, dental and vision plans for you and your family.• Flexible paid time off | Take the time that you need to rest and recharge, including our week-long winter holiday closure.• Stock options | We offer competitive stock option packages to participate in the success of building Ladder, including an extended option exercise window of 7 years after two years with Ladder.• A rewarding 401k match program | We'll match up to 4% of your contributions as you save for your retirement goals.• Ladder Fit Program | Your health matters. That’s why Ladder provides a monthly reimbursement for wellness-related expenses.• Commuter benefits | When you work from the office, you will receive pre-tax benefits for your commute and free parking.• A stocked, beautiful new office | Located in downtown Palo Alto, our office was specifically designed to accommodate all working styles. We've invested in technology to support our hybrid team, plus we provide office snacks and daily catered lunches so that team members can work well and have fun together.• Paid parental leave | We think it's crucial that new parents have time to adjust to their new lives without worrying about work. For birthing parents, they are eligible for 6-8 weeks post delivery recovery. Afterwards, all parents inclusive of birthing, adoption, or fostering are eligible for ten weeks of paid baby bonding with a gentle phase-back program, where parents can return to work on a reduced schedule for the first month at full pay.• Work-from-home flexibility and support | We recognize that everyone's home life is different and support remote and hybrid work. Upon joining, we provide a one-time remote office stipend for all team members and then a monthly stipend to cover WFH costs such as the internet.• Fun company-wide events | Whether we work locally or remotely, we genuinely enjoy spending time together. That’s why we plan fun virtual and in-person events to let loose and laugh.This role is mapped to the job level of P2/L4 and thus the base pay range targeted for this position is $125,000 - $167,640 per year. This role is eligible for equity and benefits as shared above. Base pay is determined by market location and may vary depending on job-related knowledge, skills, and experience.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.