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.
Responsibilities:
- 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 5+ 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 or PhD 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***