Jobs in the United States

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Added 55 mins ago
Machine Learning Engineer II
Mimecast North America, Inc.
Minneapolis, MN
Productionize and deploy ML models, ensuring seamless integration with existing systems.
Added 55 mins ago
Software Engineer II- ECM Specialization
Emergent Holdings, Inc.
Minneapolis, MN
Contributes to the design, development, and support of modern software solutions in an Agile/Scrum and DevOps environment, with a focus on Enterprise Content Management (ECM) and workflow…
Added 58 mins ago
Sr Supplier Engineer
Intuitive
Sunnyvale, CA
The mission of Supplier Engineering is to ensure high quality and stable delivery of purchased production components from suppliers operating under robust quality systems. Each supplier…
Added 1 hour ago
Mechanical Engineer II
Actalent
Huntsville, AL
Mechanical Engineer IIJob DescriptionThe Mechanical Engineer II designs, analyzes, and documents static and dynamic mechanical systems, equipment, and packages, supporting the full…
Added 1 hour ago
A
Manufacturing Engineer
Actalent
Madison, AL
- $90,000 to $120,000 USD / year
Manufacturing Engineer II/III - Aerospace/UAS!Job DescriptionWe are seeking a dedicated Manufacturing Engineer II/III with a specialization in quality and process implementation for our…
Added 1 hour ago
AI Engineer (AI Data Privacy, Security & Governance)
Robert Half
San Ramon, CA
Monitor AI systems for policy violations, data leakage, and anomalous plugin, skill, or agent behavior.
Added 1 hour ago
Engineer II
General Atomics
Poway, CA
As an Engineering on the Propulsion Systems Special Project Team, you will have the opportunity to design and test a wide array of innovative propulsion system solutions that directly…
Added 1 hour ago
Cyber Systems Engineer/Principal Cyber Systems Engineer
Northrop Grumman
San Diego, CA
Northrop Grumman is looking for a Principal Cyber Systems Engineer to support our Systems Engineering Integration & Test (SEIT) department as part of the Connectivity and Networking…
Added 1 hour ago
SC
1788 - Application Systems Integration Engineer II
SOLUTE Careers
San Diego, CA
- $75,000 to $115,000 USD / year
Sigma Defense is seeking an Application Systems Integration Engineer II to join our team in San Diego, CA. The Integration Engineer (IE) is responsible for providing detailed integration…
Added 2 hours ago
PRINCIPAL TECHNOLOGY MANAGER FOR UNMANNED & THEATER UNDERSEA WARFARE SYSTEMS
Naval Sea Systems Command
Keyport, WA
Added 2 hours ago
Hardware Development Engineer II, Amazon Leo
Amazon
Redmond, WA
We are looking for a hands-on Test Engineer to join the CommSys team within AMZ Leo RF/Modem Dev, responsible for validating 3GPP- and O-RAN-compliant network elements (RAN HW/SW) across…
Added 3 hours ago
Medical Imaging Engineer II
Kaiser Permanente
Clackamas, OR
Analyzes and corrects malfunctions on a variety of medical equipment systems. Analysis and corrective methods include but are not limited to observation of front panel and controls;…
Added 4 hours ago
Software Engineer (Algorithm) – TRK (26-334)
Northrop Grumman
Huntsville, AL
Northrop Grumman Space Systems - Missile Defense Integration offers an excellent opportunity for a Software Engineer (Algorithm) – TRK (26-334) to join our team of skilled and diverse…
Added 6 hours ago
Software Engineer II (Cybersecurity | Networking)
RTX
United States
Experience with Design, Development, Integration and Test of complex Communication systems
Added 6 hours ago
Cyber Software Engineer II
RTX
United States
Experience with Design, Development, Integration and Test of complex Communication systems
Added 8 hours ago
Privileged Access Management Systems Engineer
Jobgether
Remote, United States
The Privileged Access Management (PAM) Systems Engineer will support the implementation, integration, and ongoing operation of privileged access management solutions within a secure…
Added 8 hours ago
Software Engineer II Low Level Embedded Software
BAE Systems
Merrimack, NH
We are looking for a talented early career software engineer to support analyzing, developing, and coding complex software for embedded system development. You will be an integrated team…
Added 10 hours ago
SS
Systems Engineer - Space RCO
Stellar Solutions Inc
Albuquerque, NM
- $151,000 to $170,000 USD / year
At Stellar Solutions, we offer talented, energetic, and immediately productive resources to satisfy our customers’ critical needs in systems engineering and integration, mission operations,…
Added 12 hours ago
Mechanical Engineer | Thermal
Leonardo DRS, Inc.
Menomonee Falls, WI
Help keep critical naval power systems performing when it matters most. At Leonardo DRS, engineers in Menomonee Falls design, test, and support power conversion, distribution, motor…
Added 12 hours ago
Software Engineer II
Avalon Administrative Services LLC
Tampa, FL
Develop and execute unit, integration, and regression test plans to ensure high-quality, reliable software delivery.
Added 13 hours ago
Principal Electrical Engineer - 3
Northrop Grumman
Chandler
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our…
Added 13 hours ago
Principal Electrical Engineer - 3
SP - Launch Vehicles
United States
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our…
Added 14 hours ago
Systems Integration/Test Engineer Sr - E3
Lockheed Martin
Littleton, CO · Littleton
Plans, implements, tests, documents, and maintains solutions for the integration and testing of in-house developed and COTS/GOTS components, elements, subsystems and/or systems. Synthesizes…
Added 14 hours ago
Lead Integration Engineer II
Deloitte
Boston, MA
Development & Deployment: Develop, test, and deploy integration processes across environments (Test, UAT, Production), managing the full software development lifecycle (SDLC).
Added 14 hours ago
Test Solution Electrical Engineer II
RTX
United States
Most importantly, the mission behind the work is noble. The test solutions you create ensure our systems perform flawlessly when they matter most. What you do here directly contributes to…

Closed listing

ADT

Machine Learning Engineer

Boca Raton, FL, United States
Irving, TX, United States

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Closing date: Oct 30, 2026
Posting language: English
Posted: Oct 29, 2026

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Original job description

Archived listing. The details below describe a past opening.

Summary:

As an ML Engineer II on the AI, Automation & Data team, you will independently design, deploy, operate, and continuously improve production machine learning, generative AI, and agent-enabled solutions that deliver measurable business value. This hands-on role combines end-to-end ML product ownership with ownership of defined components within shared MLOps, Feature Store, model-observability, AgentOps, and GenAIOps capabilities.

You will lead moderately complex implementations, mentor junior team members and interns, and work with ML Engineers, Data Engineers, Data Scientists, Architects, Product and Domain Owners, and business partners. Enterprise architecture, organization-wide technical strategy, platform roadmaps, and final governance authority remain with Senior, Lead, and Architecture roles.

Core Responsibilities:

Own small-to-medium ML, generative AI, and agent-enabled solutions through design, implementation, deployment, monitoring, support, performance optimization, lifecycle management, and continuous improvement.
Design and lead moderately complex production ML implementations using established architecture patterns and approved Google Cloud services, including Vertex AI and BigQuery where appropriate.
Own and enhance defined components of shared MLOps, Feature Store, model-observability, AgentOps, GenAIOps, deployment, or reusable ML-service capabilities that support multiple products and teams.
Develop modular, reusable, secure, and testable Python solutions for data preparation, feature engineering, model development, packaging, deployment, validation, monitoring, and automation.
Improve MLOps pipelines, CI/CD patterns, templates, controls, and engineering accelerators using Git, peer review, automated testing, documentation, versioning, and operational standards.
Lead monitoring and troubleshooting for model performance, drift, reliability, data quality, and operational health; coordinate remediation, incident response, and appropriate escalation.
Lead model documentation, validation, and production-readiness activities while ensuring adherence to established responsible AI, legal, compliance, security, architecture, and engineering requirements.
Partner with Data Engineers to design, validate, and improve trusted, reusable features and datasets, and use SQL and BigQuery for exploration, reconciliation, feature preparation, and performance analysis.
Build and evaluate models using appropriate techniques, metrics, validation, explainability, and reproducibility practices; guide less-experienced engineers in applying these practices.
Design and operationalize GenAI, retrieval-augmented generation, and agent-enabled solutions using approved enterprise models, data, tools, APIs, and guardrails.
Review code, technical designs, deployment approaches, and AI-assisted outputs; provide actionable feedback and ensure alignment with team standards and maintainability expectations.
Mentor junior team members and interns through onboarding, technical coaching, pair development, code reviews, design reviews, and knowledge sharing.
Communicate design decisions, delivery status, production health, risks, and recommendations to technical and non-technical stakeholders; participate in agile planning and cross-functional delivery.

Required Qualifications:

Bachelor's or master’s degree in computer science, data science, engineering, information systems, or a related field, or equivalent practical experience.
Five or more years of relevant experience in ML engineering, MLOps, data science, software engineering, or a closely related discipline.
Advanced Python proficiency and strong SQL proficiency for model development, production engineering, automation, validation, troubleshooting, and performance optimization.
Demonstrated experience independently designing, deploying, monitoring, supporting, and improving production ML solutions.
Demonstrated experience with production MLOps concepts and practices, including CI/CD, packaging, deployment, versioning, reproducibility, observability, and lifecycle management.
Experience owning or materially enhancing reusable ML platform components, frameworks, services, templates, or engineering accelerators.
Experience with Git-based source control, automated testing, peer code reviews, technical documentation, APIs, and modular software-engineering practices.
Working knowledge of cloud architecture and hands-on experience with cloud-based ML and data services; familiarity with BigQuery or a comparable cloud data warehouse.
Experience leading technical reviews and mentoring less-experienced engineers, interns, or project contributors.
Strong analytical, troubleshooting, incident-management, communication, and cross-functional collaboration skills.

Preferred Qualifications:

Hands-on experience with Vertex AI or a comparable managed ML platform, including pipelines, registries, endpoints, or monitoring.
Experience with reusable Feature Store capabilities, shared model-observability services, or multi-product MLOps platform components.
Experience with scikit-learn, TensorFlow, PyTorch, XGBoost, or comparable ML frameworks.
Experience designing or operationalizing generative AI, retrieval-augmented generation, agent frameworks, AgentOps, or GenAIOps capabilities.
Familiarity with containers and additional Google Cloud services used for serverless processing, integration, orchestration, APIs, or monitoring, such as Cloud Run.
Experience supporting responsible AI, model risk, privacy, security, legal, compliance, or architecture reviews for production ML or AI solutions.

Team & Culture:

Collaborates effectively with ML Engineers, Data Engineers, Data Scientists, Architects, Product and Domain Owners, and business partners across onshore and offshore teams.
Demonstrates ownership, adaptability, accountability, sound technical judgment, and commitment to reliable production outcomes.
Provides constructive technical guidance, welcomes feedback, and helps develop Engineer I resources and interns without formal people-management accountability.
Supports knowledge sharing, responsible AI, reusable engineering, disciplined operations, and continuous improvement aligned with business objectives and technical standards.
Influences technical execution within defined areas of ownership while partnering with Senior, Lead, and Architecture roles on enterprise direction and roadmap decisions.

About employer

More about this job

Skills

Machine learning
ML
Process improvement
Google Cloud
BigQuery
Python
Packaging
CI/CD
Git
Test automation
Documentation
Troubleshooting
Incident response
Regulatory compliance
SQL
Develop models
Coaching
Computer science
Data warehouse
Communication skills
Collaboration
Scikit-learn
TensorFlow
PyTorch
XGBoost
Adaptability
Team leadership

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