Machine Learning Engineering Manager

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.

What we’re looking for

As an Engineering Manager in Machine Learning at Vacasa, you will lead a team of bright machine learning engineers responsible for productionization of ML models. This team has a high impact on company revenue and cost reduction.

Your team will bring engineering discipline to a cross-functional team of data scientists by developing and deploying robust, maintainable, and reliable ML systems with validation, monitoring, and metrics, for both batch and real-time pipelines. 

You will be expected to lead, mentor, motivate, and set the tone for team culture. You will make hiring decisions, conduct 1:1s, communicate performance evaluations, and resolve conflicts.

You will define 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. You will be accountable for selecting technologies, defining patterns, and delivering projects on-time and within budget.

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, generative AI, 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!

This is a hybrid role with ability to work in office 4 days / week with the option to work from home 1 day / week 

What you'll do

• Hire, manage, inspire, provide feedback, and mentor your team.
• Lead large-scale initiatives, and clarify ambiguous requirements.
• Define repeatable architectural patterns for large-scale, adaptive, secure, performant systems.
• Select technologies, guide technical solutions, and produce high quality documentation.
• Productionize machine learning models using AWS, Python 3, CI/CD, Airflow, and Terraform.
• Write maintainable, reliable, and robust pipelines complete with unit and integration tests.
• Contribute to all phases of development and delivery.
• Develop dashboards to monitor pipeline health, and alert on key metrics.
• Continually update your engineering skills using modern tools and techniques.
• Deliver and present results to stakeholders on time and within budget.
• Conduct code reviews, peer design, and demonstrate respectful, effective communication.
• Debug difficult problems across multiple projects, and become an expert in MLOps.

Skills you'll need

• 8+ years of software engineering and/or data science, including 2+ years of management or equivalent experience.
• Strong Python experience.
• RDBMS SQL experience.
• Expert knowledge of modern generative AI techniques and machine learning algorithms, including supervised, unsupervised, neural network, regression, and tree-based approaches.
• Expert skills in cloud service architecture (AWS, Azure, GCP)
• Strong presentation skills
• Familiarity with AWS tools such as SageMaker, EMR (Spark), Lambda, and Fargate a plus.
• Experience with service-oriented architecture and scaling large-scale systems.
• Experience writing infrastructure as code, Terraform, and Docker is a plus.
• Other duties, as assigned.

What you’ll get

• Employee Stock Purchase Plan
• 5 weeks of vacation
• 12 sick days 
• Meal allowance 
• Contribution for pension insurance
• Hybrid work and flexible working hours
• Competitive salary
• Fresh fruits and snacks in the office
• Employee Assistance Program
• Career development opportunities
• Employee discounts 
• All the equipment you’ll need to be successful
• Great colleagues and culture
• Modern offices 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.

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