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Machine Learning Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Clutch Canada
Full Time position
Listed on 2026-01-05
Job specializations:
  • Software Development
    Software Engineer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: MACHINE LEARNING ENGINEER
Location: New York

Why be with company?

We all know what a great neighborhood feels like. The sad reality is that every day, our neighborhoods are losing their character, authenticity, and sense of community. From Main Streets to Manhattan, our beloved local businesses are being pushed out at unprecedented rates, replaced with corporate brands or empty storefronts. America is losing its small business backbone — its diversity, energy, and competitive edge.

All while there is a generational opportunity in commercial real estate directly ahead of us. We’ve been quietly and deliberately building withco to empower millions of small businesses to seize their opportunity to become their own landlords. And if we’re successful, we’ll have created not only the most financially impactful company of its time, but also neighborhoods that we’re proud to live in.

Join our mission to make it exciting to be a small business owner in America.

We've raised $30M+ from the world's best investors, including Founders Fund, Canaan, NFX, Box Group, and angels like Ken Chenault, Danny Meyer, Venus Williams, Kevin Durant, and more.

Why we need you:

As a Machine Learning Engineer, you’ll work directly with our CTO and CEO.

Small businesses have been crushed by landlords and big businesses armed with superior data. That ends now. Your mission? Build the system that levels the playing field — arming America’s grittiest entrepreneurs with the data, insights, and strategies to not just compete but dominate.

You’ll work closely with our engineering and investing teams to take their workflows and build out robust models to arm small businesses with tools that will help them use data to their advantage.

What you'll do:
  • Build the backbone. Design and develop our data model to support AI features in our digital app.

  • Supercharge the experience. Leverage 1st and 3rd party real estate and business data to build analyses and models that enable small business owners to make the smartest real estate decisions possible.

  • Build our recommendation engine. From finding the right space to most efficiently closing the transaction.

What makes you a great fit:
  • Data obsessed. You can take data from many sources and turn it into a cohesive system for recommendations and search.

  • Technically brilliant. Peers see you as as one of the most technically talented engineers they’ve worked with.

  • ML pro. You have experience working with ML tooling and know when it’s time to leverage a logistic regression vs. a neural net.

Our Culture

While small business is for everyone, withco’s culture is not for everyone. In fact, it’s for a very, very, very small group. What makes our culture so special is how much we value accountability and clarity in how we work and curiosity and obsession in how we build. We have a disproportionate number of craftspeople, athletes, ex-founders, PhDs and scientists.

Our Benefits

We’re building withco to create generational wealth not only for small business builders, but also our team of builders. We endeavor to make this the most meaningful career experience of your life. In addition, we offer:

  • Top decile all-in compensation for our stage

  • Eligibility for carried interest in our real estate vehicles

  • 100% company-paid medical, dental, and vision insurance

  • A beautiful office in So Ho

  • Unlimited PTO and WFH

  • Paid parental leave

  • 401(k), FSA/HSA, and commuter benefits

  • Weekly team lunch and regular team events, always at a small business

We’re proud to be an equal opportunity employer. We care about building a uniquely diverse, energetic, inclusive, and service-oriented team — one that understands, cares about, and represents the different small business communities we aim to serve.

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