Rocket Money - Senior Full Stack Engineer, AI & Data Products
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Responsibilities
• Work on a cross-functional team of software engineers, ML engineers, and product managers to implement full-stack, user-facing features at the core of Rocket Money • Implement AI/LLM/ML tools our ML engineers are building (and if you’re willing, contribute to the building of them yourself!) • Develop with TypeScript across the Node.js, GraphQL, and PostgreSQL stack - mostly shipping backend features, but also at times building user interfaces using React in order to own the full-stack and experiment quickly • Own complex features end-to-end, from initial product & technical design stages through to production, ensuring the appropriate engineering rigor has been applied for scalability, reliability, and observability • Help to maintain our high technical bar, participating in code reviews and design discussions to ensure that we're applying appropriate rigor to our software development process • Support a collaborative and innovative culture by sharing your ideas via RFCs, participating in solution ideation, and giving your peers thoughtful feedback on their code and their proposals • Experience with GraphQL is a plus: it’s what we use. • Experience with Python is a plus: it’s what the ML engineers we work with use. • Experience with training/tuning ML/AI models is a plus: software engineers on this team can certainly contribute in this arena. • Experience with ops/infra is a plus: we have a great infra team, but the more we contribute to shipping, the better it is for us. • You are curious/interested in machine learning and the rapidly-evolving world of AI, and are excited about the opportunity to work side-by-side with ML engineers and help ship ML products to users. • You're not just interested in what you're building, but also why you're building it. You have a drive to ship product that deeply matters to users. • You get energized by complex problem spaces with many edge cases. You love distilling ambiguity into tractable todos. Personal finance has a LOT of data-variability - building elegant features that work for everyone is not for the faint of heart! • You love continual evaluation & improvement and enjoy ideating on how to launch a v1 with a feedback loop as the means of training a brilliant v2. You have the same mentality about yourself and love giving & receiving feedback.
Benefits
• Health, Dental & Vision Plans • Long/Short Term Disability • Competitive Pay • Team Member Stock Purchasing Program (TMSPP) • Learning & Development Opportunities • Tuition Reimbursement • Daily Lunch, Snacks & Coffee (in-office only) • Commuter benefits (in-office only) • Additional Information: Salary range of $150,000 - $185,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.
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