As a Sr. Machine Learning Engineer at Vacasa, Prague you'll join a newly emerging team which has an impact on maximizing company's revenue and efficiency. 

Vacasa's ML and Data Science initiatives span various areas, including dynamic pricing and probability models, with opportunities to explore recommender systems, NLP, and neural networks using extensive data resources. 

Key Projects Prague AI team is working on: 

Development and Enhancement of DS Platform: Spearhead the development and enhancement of our Data Science (DS) platform, which serves as the central hub for stakeholders and the Data Science team. This platform hosts all DS models in the form of APIs, ensuring accessibility and usability for all stakeholders.

Integration of GenAI and Dynamic Pricing Models: Lead the integration of GenAI models like chatting applications, document search, dynamic listings generation. Second major challenge is the Dynamic Pricing project. This integration involves not only incorporating the models into the production but also optimizing their code for maximum efficiency and performance. Particularly, the Dynamic Pricing project, characterized by its extensive data volume processing over 2.5 billion records daily.

What you'll do

• Productionize machine learning models using AWS, Python 3, CI/CD, and Terraform.
• Write maintainable, reliable, and robust pipelines complete with unit and integration tests.
• Lead mid-sized projects, and balance best engineering practices with business needs.
• Co-lead large initiatives, architect systems from scratch, and mentor junior team members.
• Develop dashboards to monitor pipeline health, and alert on key metrics.
• Optimizing pipelines processing more than 2.5b records daily
• Debug difficult problems across multiple projects, and become an expert in MLOps.
• Collaborate with a cross-functional team of engineers, QA, data scientists, and Product.

Skills you'll need

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

What you’ll get

• 5 weeks of vacation
• 12 sick days
• Meal allowance
• Contribution for pension insurance
• Hybrid work and flexible working hours
• Fresh fruits and snacks in the office
• Employee Assistance Program
• Career development opportunities
• Employee discounts
• All the equipment you’ll need to be successful (e.g. Macbook Pro M3 36GB)
• Modern office in Prague - Karlín 

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 and/or OFAC screening.