Machine Learning Engineer
Description For Machine Learning Engineer
Range is revolutionizing wealth management through an AI-powered platform that combines cutting-edge technology with human expertise. Backed by Google's Gradient Ventures and Cathay Innovations, Range is seeking a Machine Learning Engineer to join their growing team. This role will be crucial in advancing their AI-powered wealth management platform, working on everything from data pipelines to ML model deployment.
The position offers an opportunity to work with a team of accomplished professionals from various backgrounds, including former CEOs, startup founders, and experts from leading hedge funds and tech companies. The role involves building and deploying ML models that power intelligent financial features, improving data pipelines, and evolving the infrastructure that supports production workflows.
Located in McLean, VA, New York City, or Seattle, this position requires in-office presence Monday through Friday, fostering direct collaboration with the team. The ideal candidate will have hands-on experience with modern ML stacks, a track record of building ML-powered products, and strong capabilities with cloud infrastructure, particularly AWS.
The role combines technical expertise with product sensibility, focusing on creating practical solutions that enhance user experience in financial management. Range offers comprehensive benefits including full medical coverage, equity, 401(k), and unique perks like their Boomerang Program, which supports entrepreneurial ambitions while maintaining job security.
Responsibilities For Machine Learning Engineer
- Build and deploy lightweight ML models for intelligent financial features
- Partner with product and engineering teams to enhance production data stack
- Improve ML systems performance and maintainability
- Shape data collection, labeling, and feature engineering approaches
- Implement ML best practices including monitoring, versioning, and continuous deployment
Requirements For Machine Learning Engineer
- Experience with modern data and ML stacks
- Track record of building ML-powered product features
- Experience with embedding models and vector databases
- Production-ready code writing and cloud infrastructure deployment
- Fluency with AWS services
- Strong product sense
- Ability to tackle ambiguous problems independently
Benefits For Machine Learning Engineer
- 100% employer-covered medical insurance for employees (75% for dependents)
- Dental and vision coverage
- 401(k) retirement savings program
- Paid Time Off
- Parental Leave
- Select meals covered throughout the week
- Monthly fitness stipend
- Equity with early exercise eligibility
- Annual compensation reviews
- Boomerang Program after two years
