Route Networking Group

Route Networking Group Current Positions

Senior Machine Learning Engineer, Team Lead

Route Networking Group - Boise, ID

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

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 their nimble team solve problems like how they build models to dynamically charge the right price for each of our 25,000 units for each of 540 days into the future, how they rank units on search engine results pages in order to maximize guest conversion rate and revenue, and how they estimate how much a prospective home might be able to make as a 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, NY, OH, OK, OR, PA, SC, TN, TX, UT, VA, VT, WA, WI, or WY

What you'll get

  • Health/dental/vision insurance—employee & family coverage options
  • Employer Sponsored & Voluntary Supplemental Benefits
  • 401K retirement savings plan with immediate 100% company match on the first 6% you contribute
  • Health & Dependent Care Flexible Spending Accounts
  • Paid vacation & sick days
  • Paid holidays
  • Paid parental leave after one year of tenure
  • Employee Assistance Program
  • Career advancement opportunities
  • Employee discounts
  • All the equipment you’ll need to be successful
  • Great colleagues and culture


Interested in Applying? Awesome! Email us at with a copy of your resume!


Posted On: Thursday, January 6, 2022

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