Sr. Machine Learning Engineer

Job description

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 North America thanks to the people who give us their best every day. You'll fit right in here if you're curious, entrepreneurial, and thrive in a rapid-growth environment.

Why Software Engineering at Vacasa

We build the tools that allow other departments to succeed. We're constantly experimenting and fine-tuning our products. We value stability, security, and scalability. Our favorite word is autonomy—we want everyone to have a voice.

What we're looking for

Vacasa is looking for a software engineer who is eager to contribute and learn who can function independently in a fast-paced software development environment.

In this role, you would be part of a cross-functional team building and operating scalable, cloud-native solutions to high-impact business problems. An ideal candidate for this role will have experience integrating cloud-based business applications (e.g. NetSuite, Salesforce) and experience with iPaaS platforms (preferably MuleSoft).

What you'll do

As a Senior Machine Learning Engineer at Vacasa, you will join a nimble, cross-functional team of bright machine learning engineers and data scientists. This team has a high impact on company revenue and cost reduction.

You will productionize ML models in the cloud using Python, and adapt feature engineering techniques to both batch and real-time pipelines. This includes writing robust, maintainable, and reliable systems with validation, monitoring, metrics, for both internal and external customers.

As a senior engineer, you will be expected to lead initiatives, champion best practices for engineering and architecture, mentor up-and-coming talent, set an example of conduct through cross-team collaboration, communicate to stakeholders, and balance engineering concerns with business needs.

Vacasa's machine learning and data science research is broad. We train dozens of models, from dynamic daily pricing for all units, to probability models that are used throughout the company. There's potential to explore and implement recommender systems, NLP techniques, and neural networks. Vacasa has hundreds of millions of records for model training. Help us discover value in our data and bring it to customers!

Skills you'll need

  • 4+ years of software engineering, including 2+ years of machine learning engineering or equivalent experience.
  • Familiarity with machine learning algorithms, including supervised and unsupervised.
  • RDBMS and ETL experience, data warehouse experience is a plus.
  • Experience writing infrastructure as code, Terraform is a plus.
  • Ability to function in a big data environment such as Apache Spark.
  • Familiarity with the AWS ecosystem and tools such as S3, Glue, or SageMaker are a plus.
  • Strong Python experience is a plus.

Working conditions

This is an in-market role and candidates must be based locally or be willing to relocate to Boise, ID to be considered.

You'll be working in your home office setting. We hold virtual training sessions and weekly team meeting. Occasional offsite team meetings in your region or our HQ locations. Requires frequent, repetitive use of a computer, phone, and office equipment. Requires patient, professional communication with prospective clients, and the ability to build confidence with prospects.


  • $140,000 - $180,000 DOE

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
  • Flexible vacation time
  • Paid sick days and holidays
  • Paid parental leave after one year of tenure
  • Employee Assistance Program
  • Career advancement opportunities
  • Employee discounts and
  • All the equipment you'll need to be successful
  • Great colleagues and culture

Please visit our careers page to review our full benefits offerings

Vacasa is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We do not discriminate against applicants based upon race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, or other classes protected by applicable law. Veterans are encouraged.

Vacasa is committed to maintaining a safe and productive work environment. Possession, use, or being under the influence of alcohol or illegal drugs in the workplace is prohibited.

An offer of employment for this role will be contingent upon the successful completion of a background check.

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