Learn what makes QTS a unique place to grow your career!

Who We Are:

It's exciting, to find yourself standing in a pivotal moment in time. It’s even more exciting to be out front leading it. At QTS, our world-class data centers are among the most highly trusted in the industry, positioning us at the forefront of today’s dynamic digital evolution. 

“Data centers are experiencing once-in-a-generation demand growth, driven by cloud adoption and the AI revolution,” said Jon Gray, President & COO of Blackstone, the investment strength behind QTS. 

As AI drives the demand for increased speed, capacity and capability, QTS has emerged as the global digital infrastructure leader, committed to connecting the world’s economy for good. Driven by purpose and fueled by a spirit of innovation, QTS designs, builds and operates sophisticated data centers.

QTS is Powered by People. People who play a vital role in our company’s culture, innovation and growth. People who are committed to contributing to the communities where we operate and work. People who are knowledgeable, resourceful and mission driven. Together, we do great things.

Who You Are & The Impact You Will Have:

The Senior Machine Learning Engineer is responsible for building, testing, and deploying ML based software applications to solve internal and customer facing automation problems.  As part of the AI & Analytics Innovation Team, this role will work together with engineers and data scientists to rapidly prototype, evaluate, and deploy solution to solve QTS’s most demanding automation challenges.  The Senior ML Engineer must be able to work as part of a team to develop solutions to problems with a high level of ambiguity while delivering against a rapid development cycle.

The Senior Machine Learning Engineer will interact (on a daily basis) with Technical Operations, Facilities Operations, Accounting, Service Delivery Platform (SDP), Property Development, external development resources and other areas of the business.

What You Will Do:

Collaborate with the AI & Analytics team on overall system development / testing / deployment

Develop and optimize API based integrations to support system interoperability 

Rapidly build python-based prototype systems to vet use case feasibility

Build / test / deploy / maintain / update API based systems and infrastructure to connect data silos

Create unit tests for prototype systems to evaluate prototype feasibility / efficacy

Rapidly prototype and evaluate use case ideas to vet feasibility and value

Provide input to the team regarding GUI design for each use case

Build / maintain data aggregation services and systems

Assist with maintaining current ML Models

Assist with data interpretation and correlation including developing visualizations and reporting

Assist with investigating and developing new ML models related to critical operations

Assist with developing value statements for potential AI/ML/Automation initiatives

Assist with development and population of new database structures

Create high-uptime, high-volume data integration systems (MM datapoints / second) to support AI / Analytics systems

Work collaboratively as part of distributed, fast paced team

Ability to identify, describe and come up with solutions to identified system deficiencies

What You Will Need to be Successful:

Minimum 5 years of hands-on experience in designing / prototyping / deploying production quality software systems.

Minimum 3 years of experience developing distributed web APIs to include proficiency with gRPC and RESTful APIs.

Demonstrated record of work ethic, team collaboration, accountability, and holding yourself and your team to higher standards

Advanced experience with Python application development

Experience with traditional Machine Learning model development best practices and tools

Data analysis and Extract Transform Load (ETL) best practices

Strong verbal / written communication skills

US Citizenship for this position is required by law due to federal customer contracts.

Nice to Have:

Experience with Kubernetes and container orchestration for microservices based architectures

Experience building automation systems using IOT data

Familiarity with critical facilities and environments

Experience with IOT based streaming protocols such as MQTT

Experience with graph, relational, NoSQL, and time series databases

Experience with cloud-based application development (AWS / Azure) and hybrid (on-prem / cloud) application architecture

The Perks (and these are just a few!):

QRest Sabbatical           Employee Stock PurchaseQTS scholarship for dependentsEagle Club award trip eligibilityPaid volunteer days  Tuition assistance, parental leave and military leave assistance

In accordance with applicable law, the following represents a reasonable estimate of the range of possible compensation for this role if hired remotely. Please note that this information is provided for those hired remotely, and this role is open to remote candidates with compensation that aligns with your location. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

The estimated pay range for this role is:

$102,000.00 - $174,080.00

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending savings account; paid holidays; paid time off; employee assistance program; and other company benefits.

We conform to all the laws, statutes, and regulations concerning equal employment opportunities and affirmative action.  We strongly encourage women, minorities, individuals with disabilities and veterans to apply to all of our job openings.  We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, or national origin, age, disability status, Genetic Information & Testing, Family & Medical Leave, protected veteran status, or any other characteristic protected by law.  We prohibit retaliation against individuals who bring forth any complaint, orally or in writing, to the employer or the government, or against any individuals who assist or participate in the investigation of any complaint or discrimination claim.

The "Know Your Rights" Poster is included here:

Know Your Rights (English)

Know Your Rights (Spanish)

The pay transparency policy is available here:

Pay Transparency Nondiscrimination Poster-Formatted

QTS is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to talentacquisition@qtsdatacenters.com and let us know the nature of your request and your contact information.