Lead Software Engineer - Machine Learning at Monarch Money

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Lead Software Engineer - Machine Learning Monarch Money. About Us. Monarch came out of private beta in early 2021. Since that time we have quickly become one of the premier ways to manage your financial life. Customers love the product and we have seen rapid, organic growth. Our users say that Monarch helps them feel more confident in their finances, and more confident in their financial future.. Our founding team consists of product-driven, serial entrepreneurs with multiple exits. Additionally, our CEO was one of the original creators of . Mint.com.  and has a unique perspective on what is needed to meet consumers' needs in this market.. We are passionate about building a company, product and brand that both customers and employees love. We are well-funded by top venture firms and angel investors.. We founded the company as a fully-remote team (pre Covid!) and are open to applicants that live within a 5 hour time zone difference of US Pacific Time.. The Role. Monarch Money is seeking a Principle Software Engineer with a focus on Machine Learning. We're still fleshing out this role, but if you have experience in ML/AI (in particular, GenAI), and are excited to help people harness the power of AI to better understand their finances and plan for the future, please apply.. Benefits . Work wherever you want! As a . fully. remote company with no central office, we want you to work wherever you are happiest and most productive. Whether that’s out of your home, a co-working space, or elsewhere.. Competitive cash and equity compensation in a hyper growth, early stage company 🚀.. Stipend to set-up your ideal working environment.. Medical, dental and vision benefits (Full time US only).. 401k (US only).. Unlimited PTO.. 3 day weekend every month! We take off the “First Friday” every month to focus on rest, recuperation, or just having fun!. We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.