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Applied Scientist

Job in New York City, Richmond County, New York, 10261, USA
Listing for: Range Finance, Inc.
Full Time position
Listed on 2025-12-02
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Position: Staff Applied Scientist

Range is creating AI-powered solutions to eliminate financial complexity for our members. We’re transforming wealth management through the perfect blend of cutting‑edge technology and human expertise. We’re obsessed with member experience! We’ve built an integrated platform that tackles the full spectrum of financial needs–investments, taxes, retirement planning, and estate management–all unified in one intuitive system.

Backed by Google's Gradient Ventures and Cathay Innovations, we're in hyper‑growth mode and looking for exceptional talent to join our starting lineup. Every Ranger at this stage is shaping our culture and way of life—from former CEOs and startup founders to experts from leading hedge funds and tech companies.

If you're ready to build something that truly matters in financial services, bring your talent to Range. Here, you'll make a genuine impact on how people manage their financial lives while working alongside a team that celebrates wins, makes big decisions, and blazes new trails together

About the role

Range is hiring for an Applied Scientist to accelerate our best‑in‑class AI system that delivers and automates financial products and solutions across the entire wealth management spectrum. This engineer will work with our AI team to both build and strategically influence the technology that ultimately powers Range’s disruptive platform.

The ideal candidate has experience designing and deploying production‑grade AI systems that are reliable, scalable, and aligned with real‑world customer needs. As an AI engineer, you will lead efforts across the entire AI ecosystem—from data strategy and model fine tuning to deployment and monitoring—while working closely with product and engineering teams. You will help define our AI roadmap, set technical direction, and build systems that are both technically robust and grounded in our product philosophy.

You will also collaborate with other technical leaders to elevate the company’s AI and engineering standards.

We're excited to hire this role at Range's Headquarters in McLean, VA, or one of our hub locations in New York City, or Seattle. All of our positions follow an in‑office schedule Monday through Friday, allowing you to collaborate directly with the team. If you're not currently based in one of these areas but love what you see, let’s discuss relocation options as part of your journey to joining us.

What

you’ll do with us
  • Improve the accuracy, reliability, and sophistication of our AI-generated responses by iterating on models, prompts, and evaluation frameworks
  • Partner with product and engineering teams to design and develop new AI‑first features that help users make better financial decisions
  • Help shape our data strategy, including how we collect, label, and leverage structured and unstructured data to train and evaluate models
  • Bring modern best practices in applied AI and machine learning to the team, and help us stay at the frontier as the AI landscape evolves
What will set you apart
  • Hands‑on experience with modern LLMs and a strong perspective on their strengths, weaknesses, and evolving capabilities
  • Experience building production AI features such as retrieval‑augmented generation (RAG), autonomous agents, user‑facing chat interfaces, or task automation systems
  • Deep understanding of prompt engineering, evaluation techniques, vector databases, and orchestration frameworks like Lang Chain
  • Familiarity with fine‑tuning, embedding models, and techniques to ground AI outputs in proprietary or financial datasets
  • Fluency with AWS services including EC2, ECS, RDS, Dynamo

    DB, S3, and Cloud Watch—or equivalent cloud platforms
  • Strong product sense: you’re motivated by helping users get smarter, faster answers—not just pushing the boundaries of ML for its own sake
  • Proven ability to tackle ambiguous problems, work independently, and bring structure to chaos in a fast‑moving startup environment
  • Bonus points for experience with security, regulated industries like fintech, or building AI systems that meet compliance and reliability standards
Benefits
  • Health & Wellness
    : 100% employer‑covered medical insurance for employees (75% for dependents), plus dental and…
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