Startups · AI

Staff Machine Learning Engineer - Ranking System

TaskRabbit · New York, New York, United States; San Francisco, California, United States · On-site

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About TaskRabbit

Our same-day service platform instantly connects you with skilled Taskers to help with cleaning, furniture assembly, home repairs, running errands and more. Backed by Lightspeed and 500 Global.

About the role

Machine Learning is a cornerstone at Taskrabbit, and we’re looking for a Staff Machine Learning Engineer to take technical ownership of our core ranking system. Every job request on the platform flows through it, making this one of the most consequential ML systems we run.

What they're looking for

  • BS, MS, or PhD in Computer Science, Statistics, Operations Research, or a related quantitative field
  • 8+ years of industry experience building and deploying production-grade ML systems, with a track record of owning a system end-to-end — not just contributing to one
  • Deep expertise in ranking, recommender systems, or two-sided marketplace ML. Experience with debiasing, A/B experimentation at scale, and the subtleties of feedback loops in production systems
  • You think architecturally. You can hold the full picture of a complex system — data pipelines, feature stores, training infrastructure, serving, monitoring — and make principled decisions about how they fit together
  • You write and review code at a high standard. Your code reviews are insightful and educational, your implementations set the bar for quality and maintainability on the team
  • You can do critical R&D. When a problem is novel and the solution is unclear, you have the depth to explore it systematically and the judgment to know when to go deeper vs. ship
More about this role

Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more.

At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.

Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024, 2025) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed!

This role is hybrid requiring 2 days in office at our San Francisco or NYC hub every Tuesday & Wednesday.

Machine Learning is a cornerstone at Taskrabbit, and we’re...

Read the full posting on TaskRabbit's site ↗

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