Machine Learning Engineer

Extra Space Storage•Salt Lake City, UT

1d•Hybrid

About The Position

Please note that this position involves a HYBRID work schedule, with onsite attendance at our Salt Lake City metro area office. At Extra Space Storage, what matters to you, matters to us! Join a company that cares about you. It is an exciting time to be at Extra Space. We have been featured on multiple "Best Places to Work" awards, including Forbes and Glassdoor. We’re an S&P 500 company that hasn’t stopped growing since our founding in 1977. Today, we are leading the self-storage industry in more ways than one, but in order to maintain this lead, we need exceptionally motivated, capable, and driven people like you. Self-storage is our product, helping people is our passion. Come grow with the largest self-storage company in the world and find out why so many of our employees recommend us as a great place to work. Job Summary Responsible for building and deploying advanced analytics systems into production. Responsible for maintaining the environments and software for the ongoing maintenance of these systems. Familiar with database structures, statistical modelling, software engineering best practices, and the latest developments in generative AI.

Requirements

Proven analytical skills with data-driven decision-making skills.
Ability to manage large data sets, develop data pipelines.
SQL programming skills.
Python or R programming skills.
Knowledge of vector databases, embedding models, LLM endpoints.
Team player with excellent collaboration skills.
Highly motivated and high level of energy and enthusiasm.
A Master’s Degree in computer science, data science, mathematics, statistics, finance, economics, or other engineering fields
Requires 3+ years' experience in deploying advanced analytics solutions to drive business outcomes.

Nice To Haves

Prior experience with cloud technologies will be a plus.

Responsibilities

Builds and deploys scalable analytical systems.
Develops data science proof-of-concept models into production-ready applications.
Follows industry standard principles on software development.
Builds data science applications related to text-based search, and audio & video recordings.
Uses statistical modeling or A/B testing approaches to evaluate algorithmic improvements to the model.
Executes on the technical roadmap for data science products.
Performs systems analysis, interprets the findings from it, and explains the findings to business audience to improve products such as revenue management system, and paid search bidding system.
Documents assigned aspects of projects, including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results, and analytical metrics.
Develop and optimize prompts for large language models (LLMs), evaluate and fine-tune AI models to achieve desired outcomes for specific business applications.
Collaborate with various teams to integrate and test data science and AI applications.