Machine Learning Engineer

| Seattle

​​​​​About the role

Machine learning is core to our business, driving everything from our long-term and short-term rental income prediction algorithms to our revenue optimization algorithms and our properties acquisition pipeline. We're looking for a talented, experienced ML engineer to help us scale quickly, smartly and nimbly. This role offers a unique opportunity to join an amazing team and grow your career as quickly as Loftium scales.This role reports to our Head of Machine Learning.


  • Build machine learning products that help drive our business
  • Make thoughtful architectural decisions with limited information translating business requirements into machine learning products
  • Communicate decision rationales, formulating project plans and delivering results
  • Automating model comparison and feature selection to optimize performance
  • Shipping code to our staging and production environments multiple times a day
  • Building data pipelines that allow us to improve our machine learning products and services
  • Design and deploy efficient data services and stores

Who we're looking for:

  • You have 2+ years experience leveraging machine learning to solve complex business problems
  • You’re adaptable: You thrive in a fast-paced, ever-changing environment, and understand that the right solution and the perfect solution rarely coincide in startups
  • Excited about Loftium’s mission of making housing more affordable
  • Bonus: Masters in computer science or other STEM degree 

You have some experience with:

  • Python and SQL (Both required)
  • Designing and deploying scalable production machine learning products
  • Machine learning algorithms (Neural networks, gradient boosting) and model evaluation (cross validation, bias-variance trade-off)
  • Architecting relational databases (PostgreSQL), NoSQL databases (MongoDB), and data warehouses
  • Git and GitHub; software development workflows
  • Managing deployment & operation of cloud services (AWS, Azure etc.)
  • Leveraging data pipeline frameworks (Airflow, Luigi, Pinball)
  • Web scraping, mobile api reverse engineering (Crawlera, Charles)
  • Big data tools (Kafka, Spark, HDFS)
  • Bonus: Early-stage startup experience, especially joining at the seed or Series A stage and scaling a technical product

***Visa sponsorship currently not available***

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