Senior Machine Learning Engineer in Vacasa

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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 Engineer 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
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 35,000 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.
You’ll be working closely together with a team of data scientists to, in tandem, deploy machine learning models in production. You’ll interact and collaborate with other product engineering teams to integrate such models in a robust, maintainable, performant, and highly-available manner. You’ll be using libraries like Tensor Flow, scikit-learn, pandas, or plotly to test and release models. You’ll also mentor more junior team members, helping them grow into top-notch data scientists and machine learning engineers.

Qualifications and requirements

  • Fluent English (your team mates lives in the US).
  • 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, Lambda, Step Functions, and Fargate
  • Familiarity with Docker or other container systems

Conditions

  • 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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