Hidden company
Log in to see location
Premium
Staff AI Engineer
Log in free to see the details
AI Summary
Own the ML platform layer between data science and infrastructure at Tilt, running a managed feature store and building training and deployment platforms. Half your time goes to the feature store and half to self-service training and deployment tooling so data scientists can ship models independently. Requires deep platform/software engineering experience in ML, feature stores, CI/CD, cloud (AWS/Azure), and Kubernetes.
Key Highlights
Own the ML platform layer between data science and infrastructure
Run a managed feature store and build training/deployment platforms
Enable self-service model shipping for data scientists
Scale batch scoring and low-latency online inference
Remote-first, global team across 14 countries
Key Responsibilities
Run the managed feature store: define, backfill, and serve features
Make the feature store the starting point for model training
Build and improve automated training and deployment platforms
Turn repeated data scientist steps into self-service tooling
Standardize training and retraining with feature store data
Scale batch scoring and low-latency online inference
Extend monitoring for drift, prediction quality, and serving health
Define standards for model and feature versioning, lineage, testing, and documentation
Interested in remote work opportunities in Machine Learning & AI? Discover Machine Learning & AI Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
Technical Skills Required
Benefits & Perks
WFH office reimbursement
Competitive compensation and equity
Flexible health plans
Paid global onsites
Growth opportunities
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
Nice to Have
PySpark
Databricks
Evidently AI
Job Description
Join the Tilt team
At Tilt, we see a side of people that traditional lenders miss. Our mobile-first products and machine learning-powered credit models look beyond credit scores, using over 250 real-time financial signals to recognize real potential. With millions of customers worldwide, we're not just changing how people access financial products — we're creating a new credit system that backs the working, whatever they're working toward.
The Opportunity: Staff Machine Learning Engineer, ML Platform
Want the full job description?
Read the complete details on LinkedIn, the original posting.
Continue on LinkedIn
This is a short excerpt. All rights to the full description belong to its original publisher.
Keep exploring
Similar Jobs
Explore other opportunities that match your interests
Talenthop
United States
ML Systems Engineer (Fully Remote)
- AI
- C++
- Cloud
- Incident Response
Talenthop
United States
ML Platform Engineer
- AI
- Artificial Intelligence
- C++
- Cloud
Remote Work Guides
Practical guides for finding and thriving in remote roles.
How to Get a Remote Job with No Experience
Getting a remote job with no experience is possible if the job seeker knows where to look and how to present their skills. Entry‑l...
Read Article
Do Remote Jobs Provide Equipment?
You might be wondering if your new employer will pay for your home office setup or if you’ll have to cover the costs yourself. The...
Read Article
What Are the Highest-Paying Remote Jobs?
If you’re looking for a career that offers a great income and the ability to work from anywhere, you’re not the only one. The job...
Read Article
Which Companies Offer Remote Jobs?
Advances in technology have made remote jobs more popular than before. Many companies now allow employees to work from home either...
Read ArticleSubscribe to our newsletter
New visa sponsorship, relocation and remote tech jobs, delivered to your inbox.