Machine Learning Engineer jobs in United States
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RTX · 23 hours ago

Machine Learning Engineer

RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. The Machine Learning Engineer designs and implements automation, observability, and lifecycle management pipelines for AI and machine learning applications, ensuring that models and AI services operate reliably and securely across RTX environments.

AerospaceManufacturingSecuritySensorTelecommunications
badNo H1BnoteU.S. Citizen Onlynote

Responsibilities

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

Qualification

PythonSQLDevOpsAI monitoringContainersCloud infrastructureProduction pipelinesPolicy-as-codeGovernance automationResponsible AI practicesModel versioningAuditability

Required

Typically requires a University Degree or equivalent experience and minimum 10 years prior relevant experience, or an Advanced Degree in a related field and minimum 7 years experience
Python & SQL for data and automation; ML lifecycle tools
DevOps, observability, and AI monitoring
Containers, cloud infrastructure, and production pipelines

Preferred

Experience with policy-as-code or governance automation frameworks (Open Policy Agent or equivalent)
Background in regulated environments (aerospace, defense, finance, or healthcare)
Understanding of Responsible AI practices, model versioning, and auditability

Benefits

Healthcare
Wellness
Retirement and work/life benefits
Parental (including paternal) leave
Flexible work schedules
Achievement awards
Educational assistance
Child/adult backup care
Medical
Dental
Vision
Life insurance
Short-term disability
Long-term disability
401(k) match
Flexible spending accounts
Employee assistance program
Employee Scholar Program
Paid time off
Holidays

Company

RTX is comprised of three market-leading businesses – Collins Aerospace, Pratt & Whitney and Raytheon – working as one to answer the biggest questions and solve the hardest problems in aerospace and defense.

Funding

Current Stage
Public Company
Total Funding
$3.2M
Key Investors
LIFT Ecosystem Accelerator
2024-02-22Grant· $0.2M
2019-06-09Acquired
2010-01-14Grant· $3M

Leadership Team

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Daniel Conroy
Chief Technology Officer - Digital
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Kevin DaSilva
Corporate Vice President & Treasurer
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Company data provided by crunchbase