Machine Learning Engineering Team Lead in Vacasa

Closed job - No longer receiving applicants

Why Vacasa

We started with just one home and an idea: to bring homeowners and renters together with smart technology and caring local teams. Today, we’re the largest full-service vacation rental company in the US thanks to the people who give us their best every day. You’ll fit right in here if you’re curious, collaborative, innovative, and thrive in a rapid-growth environment.

Do you want to be part of a team helping the largest vacation property management company in the US solve problems on a global scale? Are you excited to explore the benefits of scalability and performance by leveraging modern, cloud-based technologies? At Vacasa, we are constantly experimenting and fine-tuning our products. We value stability, security, and scalability.

Job functions

What we're looking for

A seasoned Machine Learning Engineering Lead with Intelligence, humility, candor, and the ability to thrive in a fast-paced, hyper-growth environment. You like to get things right and ship things quickly, but you can appropriately balance the inherent conflict between the two.

What you'll do as a leader

You’ll use your knowledge of data science and machine learning algorithms to help our nimble team solve problems like how we build models to dynamically charge the right price for each of our 30,000+ units for each of 540 days into the future, how we rank our units on our search engine results pages in order to maximize guest conversion rate and revenue, and how we estimate how much a prospective home might be able to make as a Vacasa rental based on its characteristics and location.

Specifically, you’ll:

  • Work with your team to deliver robust products
  • Manage a team of machine learning software engineers
  • Be an effective bridge between Product and the rest of your team
  • Manage change and contingencies for your team with a Product Manager
  • Participate in and encourage collaborative conversations around problem-solving
  • Provide a productive outlook and ensure all voices are heard to shape your team’s culture
  • Provide guidance and mentorship to other software engineers on your team
  • Handle disputes and debates fairly and provide timely and direct feedback to all team members
  • Foster a tech culture where you lead by example

Qualifications and requirements

  • Extensive experience working on software projects with a cross-functional team
  • Fluent English (your team live in the US).
  • Adept at facilitating technical discussions that lead to informed decisions
  • Experience or enthusiasm to mentor engineers
  • Demonstrable experience delivering software products used in real-world environments
  • At least five years of combined data science and engineering experience with at least three of those on a machine learning team required
  • Expert-level SQL/Redshift
  • Strong python experience
  • Expert-level knowledge of data science libraries such as pandas, numpy, tensor-flow / keras or pytorch, scikit-learn, plotly (or equivalent)
  • Strong familiarity with a gamut of data science and machine learning approaches, including neural networks, random forest and GBTs, KNNs, k-means clustering, various types of regressions, and Bayesian techniques
  • Ability to function in a “big data” environment including an intermediate to expert knowledge of Spark or the ability and interest to quickly learn it on-the-job

Desirable skills

  • Familiarity with AWS ecosystem and tools such as Glue, SageMaker, Athena, and Fargate
  • Familiarity with Docker or other container systems


  • Career advancement opportunities. Vacasa promotes from within
  • Open to remote work (within Chile)
  • Extended Health Benefits!
  • 10 extra days of vacations.
  • Great saving plan benefits (APV)
  • Annual bonus
  • Courses and certifications
  • All the equipment you’ll need to be successful
  • Great colleagues and culture

Pet-friendly Pets are welcome at the premises.
Health coverage Vacasa pays or copays health insurance for employees.
Computer provided Vacasa provides a computer for your work.
Informal dress code No dress code is enforced.
Vacation over legal Vacasa gives you paid vacations over the legal minimum.

Remote work policy

Locally remote only

Position is 100% remote, but candidates must reside in Chile.

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