Machine Learning Engineer
Extra Space Storage
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.
**Primary 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.
**Job Specifications**
+ 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.
+ Prior experience with cloud technologies will be a plus.
**Education and Experience**
+ 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.
**Working Conditions/Physical Demands**
Performs sedentary work in an office environment with limited lifting (less than 10 pounds) or walking required. Close visual acuity is required to perform work at a computer terminal. No exposure to adverse environmental conditions. Requires repetitive typing motion, talking, hearing, grasping, and feeling.
**Disclaimer**
The above information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.
We pride ourselves on hiring top talent and provide the following benefits and more:
+ Well-defined career paths
+ Great work/life balance and hybrid work schedule
+ Medical, dental, and vision benefits
+ Health Savings Account (HSA) or Flexible Spending (FSA)
+ Company paid Life, AD&D, and Short- & Long-Term Disability
+ 401K with company match after 90 days of service
+ Holiday pay and paid time off
+ Extensive wellness program and various employee discount programs
+ Personal health advocate
+ On-site fitness center
+ Free soda, coffee, and snacks all day every day and much, much more!
**If you are a current Extra Space employee, please apply through Jobs Hub in Workday.**
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Applications Deadline: Applications will be accepted until the position is filled.
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