Senior Machine Learning Engineer (Remote) at Vacasa in Portland, OR
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 25,000 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. What you'll need 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 Familiarity with AWS ecosystem and tools such as Glue, SageMaker, Athena, Lambda, Step Functions, and Fargate Familiarity with Docker or other container systems Ability to work from home and resides in one of the followings states:
AK, AL, AZ, CA, DE, FL, GA, HI, ID, IL, IN, KS, LA, MA, MD, ME, MI, MN, MO, MT, NC, NH, NJ, NM, NV, OH, OK, OR, PA, SC, TN, TX, UT, VA, VT, WA, WI, or WY.
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
AK, AL, AZ, CA, DE, FL, GA, HI, ID, IL, IN, KS, LA, MA, MD, ME, MI, MN, MO, MT, NC, NH, NJ, NM, NV, OH, OK, OR, PA, SC, TN, TX, UT, VA, VT, WA, WI, or WY.
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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