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Full Stack / Machine Learning Engineer

Calling all data nerds, “numbers people,” and entrepreneurs who share our passion for e-Commerce, Food & Beverage, Consumer and SaaS. Our team’s collective banking, lending, consulting, and operating experience gives us perspective on how to make an industry that hasn’t changed much for years better. We’ve created a modern lending platform for today’s leading growth stage companies built on a foundation of relationships, data, and technology.

 

Dwight is looking for a diligent, detail-oriented, and motivated individual to build proprietary tools that fuel our growing business.

Responsibilities

  • Harness Dwight’s proprietary data to generate insights that support the entirety of the deal lifecycle, from business development, to underwriting and portfolio management
  • Collaborate cross-functionally with subject matter experts to gather requirements and design future-proofed, scalable technical solutions that propel our business and industry forward
  • Work with the development team and product managers to come up with cutting edge solutions built using JavaScript, Python, Tableau and Machine Learning
  • Produce clean, efficient code that provides lift in the sales process, proactively identifies risk to the business, and increases process efficiency. Create technical documentation for reference

About You

  • You have experience building and training Machine Learning models and integrating them with external APIs
  • You're proficient in Scikit-Learn, Tensorflow, PyTorch or other machine learning / AI frameworks
  • You have experience with JavaScript, Python, and/or Tableau
  • You demonstrate strong attention to detail. Nothing gets past you
  • You’re known for meticulous organization skills. Having a system in place helps you work efficiently and effectively
  • You’re growth-oriented and will flag process issues / inefficiencies and take the initiative to implement solutions
  • You have the ability to thrive in a fast-paced startup environment. You can reconcile when something requires precision and accuracy vs when 80% gets you to the desired outcome
Interested? Apply Now
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