tilthq - Staff Machine Learning Engineer

• Deep hands-on experience as a platform or software engineer working in ML, with a track record of platforms that served many models in production across multiple teams. • Experience with feature stores and model deployment platforms, such as Databricks Feature Store, Feast, Tecton or equivalent. Time on a managed feature store is especially relevant. • Strong CI/CD for ML (GitHub Actions, Jenkins, Azure Pipelines or similar), model registries, and infrastructure as code with Terraform. • Cloud expertise in AWS or Azure for ML deployment, plus Kubernetes, workflow orchestration, and a strong command of batch and real-time serving, autoscaling, and latency and cost trade-offs. • You’ve removed engineers from the deployment loop with self-service tooling that data scientists actually adopted, and you’ve worked side by side with backend engineers to get deployments live instead of handing models off. • You work well with ambiguity: you gather requirements from stakeholders without being directed, propose solutions and drive projects to completion. • Enough depth in model development and common algorithms to be a real technical partner to data scientists. Familiarity with PySpark, Databricks and monitoring tools such as Evidently AI is a plus. • OUR INTERVIEW PROCESS • 1. Initial Recruiter Call: A conversation to learn about your experience and what you’re looking for in your next role. • 2. Hiring Manager Interview: A deeper discussion about your experience. • 3. Skills Panel: Meet with Tilt team members to discuss your expertise and problem-solving approach. • 4. Leadership Conversation: A final conversation with a leader to discuss how you’ll contribute to Tilt’s mission, and how we can help you achieve your career goals along the way. • Don’t meet every qualification? We care about potential over your past. If you're bringing ambition and drive to what we're building, we want to hear from you. • WHAT YOU'LL GET AT TILT • Virtual-first teamwork: The Tilt team is collaborating across 14 countries, 12 time zones, and counting. You’ll get started with a WFH office reimbursement. • Competitive pay: We're big on potential, and it's reflected in our competitive compensation packages and generous equity. • Complete support: Find flexible health plans at every premium level, and substantial subsidies that stand up to global standards. • Visibility is yours: You can count on direct exposure to our leadership team — we’re a team where good ideas travel quickly. • Paid global onsites: Magic happens IRL: we gather twice yearly to reconnect over shared meals or kayaking adventures. (We’ve visited Vail, San Diego, and Mexico City, to name a few.) • Impact is recognized: Growth opportunities follow your contributions, not rigid promotion timelines. • We're looking for people who chase excellence and impact. Those who stand behind their work, celebrating the wins and learning from the missteps equally. We foster an environment where every voice is valued and mutual respect is non-negotiable — brilliant jerks need not apply. We're in this together, working to expand access to fair credit and prove that people are incredible. When you join us, it's not just another day at the office, you're helping millions of hardworking people reach better financial futures. • You’re pushing ahead in your career? We can get behind that. Join us in building the credit system that people deserve.