Staff Machine Learning Engineer, Tilt
$220-265k
+ Equity + Bonus
Credit health & financial management app
Be an early applicant
Credit health & financial management app
201-500 employees
Be an early applicant
$220-265k
+ Equity + Bonus
201-500 employees
Company mission
To expand access to fair credit to give anyone in the world the opportunity to improve their financial security and mobility.
Role
Who you are
- 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
- 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 the job involves
- Run our managed feature store: build the patterns and tooling for defining, backfilling, and serving features so a new model can be trained from existing features and deployed
- Make the feature store the starting point for model training, not just deployment, so new models are trained on existing features instead of rebuilt pipelines
- Build and improve our automated training and deployment platforms. Our ML engineers own frameworks, not individual models
- Turn the steps data scientists repeat (registering features, launching training jobs, promoting a model, setting up monitoring) into self-service agents and skills they run themselves
- Standardize training and retraining so refits are schedulable, reproducible and backed by feature store data rather than one-off queries
- Scale batch scoring and low-latency online inference, with autoscaling, resource isolation and cost controls that hold up as the number of models grows
- Extend monitoring for data drift, feature drift, prediction quality and serving health, with alerts and dashboards data scientists use without escalating to engineering
- Define standards for model and feature versioning, lineage, testing and documentation, and lead their adoption across data science teams
Application process
- Initial Recruiter Call: A conversation to learn about your experience and what you’re looking for in your next role
- Hiring Manager Interview: A deeper discussion about your experience
- Skills Panel: Meet with Tilt team members to discuss your expertise and problem-solving approach
- 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
Our take
An individual’s credit score greatly influences their life, affecting their ability to rent, receive loans, buy a house, and access affordable interest rates. But you have to have credit to build credit, leaving a lot of people in a catch-22 situation. Tilt (formerly Empower Financial) is a mobile-only app that makes credit more inclusive and accessible, helping customers achieve their credit health goals regardless of their credit history (or lack thereof).
Though other FinTech companies such as Mint or Personal Capital also offer impressive financial tracking for their customers, Tilt’s comprehensive set of personal finance features including cash advance and automatic savings offerings make it a better choice for people who want to use a single app to manage their finances.
By empowering people to take control of their money through its range of financial services, Tilt is working to break the cycle of paycheck-to-paycheck living. Backed by Blisce, Defy Ventures and Quiet Capital, the company has been significantly growing its revenue in recent years and was recognized in the 2022 Inc. 5000 list of the fastest-growing companies in the US.
Freddie
Company Specialist at Welcome to the Jungle
Insights
45% employee growth in 12 months
Trustpilot (1.9)
Company
Funding (last 2 of 3 rounds)
Sep 2022
$75m
LATE VC
Mar 2020
$20m
SERIES A
Total funding: $99.5m
Company benefits
- Virtual-first teamwork: Great work happens anywhere. We're collaborating across 14 countries, 12 time zones
- Full health coverage: Find flexible plans at every premium level and substantial subsidies that stand up to global standards
Company HQ
Mission District, San Francisco, CA
Leadership
Warren Hogarth
(Co-Founder & CEO)Previous a Partner at Sequoia Capital and is an Early Investor/Company Builder for multiple companies.
Justin Ammerlaan
(Co-Founder & CTO)Previously founded Ammerlaan Initiatives and Co-Founded White Room Trading. Also worked as a Senior Software Engineer at SDM and a Technical Architect at Fujitsu.
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