Machine Learning Engineer

Date Posted : Country :

United States of America

Location :

UT68 : Corporate 1 Farm Springs Road Farmington CT 06034 USA

Position Role Type : Hybrid

U.S. Citizen U.S. Person or Immigration Status Requirements :

U.S. citizenship is required as only U.S. citizens are authorized to access information under this program / contract.

Security Clearance : None / Not Required

RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial military and government customers worldwide. It comprises three industry-leading businesses Collins Aerospace Systems Pratt & Whitney and Raytheon. Its 185000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics electric propulsion directed energy hypersonics avionics and cybersecurity. The company formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses is headquartered in Arlington VA.

Position Overview :

This position is part of the Enterprise Services Data & AI organization within RTX Corporate supporting the companys mission to develop and scale AI capabilities responsibly and securely across the enterprise.

The Machine Learning Engineer designs and implements automation observability and lifecycle management pipelines for AI and machine learning applications. This role ensures that models and AI services operate reliably securely and cost-effectively across RTX environments.

What You Will Do :

• Build and maintain CI / CD pipelines for AI model deployment and lifecycle management.
• Automate monitoring and telemetry for AI services using OpenTelemetry MLflow and Databricks.
• Productionize proof-of-concept (POC) code and integrate it into production systems.
• Implement access controls cost tracking and policy-as-code checks for production AI workloads.
• Develop dashboards and automated alerts to monitor system health latency and model performance.
• Collaborate with Platform and Applied AI Engineers to build reliable high-performance production services and embed observability and governance into production pipelines.
• Ensure reproducibility observability and compliance of AI workflows across environments.
• Design and build scalable production pipelines that are highly performant cost-efficient and production-ready ensuring seamless integration with existing systems and workflows.
• Continuously optimize infrastructure and workflows to support scaling of AI applications in dynamic enterprise settings.

Qualifications You Must Have :

Qualifications We Prefer :

Work Location

This is a hybrid role eligible candidates must reside within commuting distance from Farmington CT additional locations will be considered MA TX IA CA

What We Offer : Whether youre just starting out on your career journey or are an experienced professional we offer a robust total rewards package with compensation; healthcare wellness retirement and work / life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave flexible work schedules achievement awards educational assistance and child / adult backup care.

As part of our commitment to maintaining a secure hiring process candidates may be asked to attendselect steps of the interview process in-person at one of our office locations regardless of whether the role is designated as on-site hybrid or remote.

The salary range for this role is 124000 USD - 250000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer including but not limited to the role function and associated responsibilities a candidates work experience location education / training and key skills.

Hired applicants may be eligible for benefits including but not limited to medical dental vision life insurance short-term disability long-term disability 401(k) match flexible spending accounts flexible work schedules employee assistance program Employee Scholar Program parental leave paid time off and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and / or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including but not limited to individual performance business unit performance and / or the companys performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin age disability or veteran status or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans Readjustment Assistance Act.

Privacy Policy and Terms :

Click on this link to read the Policy and Terms

Required Experience :

IC

Key Skills

Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting

Employment Type : Full-Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 250000 - 250000