Jobs in the United States

25+ jobs

Save this search

Added 4 mins ago
Distinguished Engineer
The Elevance Health Companies, Inc.
United States
The Distinguished Engineer is responsible for leading the design, development, and deployment of large-scale, production-grade artificial intelligence (AI) systems and platforms that enable…
Added 5 mins ago
AI Engineer (Active IRS MBI clearance)
Mission Bridge Partners
Remote, United States
We are seeking an experienced AI Engineer to support a mission-critical modernization initiative for the Internal Revenue Service (IRS). This program focuses on transforming legacy tax…
Added 11 mins ago
Legal AI Solutions Analyst
USA Alston & Bird
United States
Experience as a prompt engineer or in product support/business analysis with exposure to low/no-code automation
Added 48 mins ago
Senior Software Engineer, AI & Infrastructure Planning
Cloudflare
Austin, TX
The Snr Software Engineer, AI & Infrastructure Planning role helps Cloudflare build, deploy, and operate one of the world's largest distributed networks. You will build an auditable…
Added 50 mins ago
Manager, Cloud Data Engineer
Deloitte US
Atlanta, GA · Boston, MA · Charlotte, NC · Cincinnati, OH · Cleveland, OH · Columbus, OH · Dallas, TX · Denver, CO · Detroit, MI · Houston, TX · Indianapolis, IN · Kansas City, MO · Los Angeles, CA · McLean, VA · Miami, FL · Minneapolis, MN · Morristown, NJ · Nashville, TN · NY · Philadelphia, PA · Pittsburgh, PA · Rosslyn, VA · Sacramento, CA · San Diego, CA · San Francisco, CA · San Jose, CA · Seattle, WA · St. Louis, MO · Stamford, CT · Tampa, FL · Tempe, AZ
As a Lead Data Engineer II on the AI & Data team, you will be responsible for leading the design and delivery of scalable technical solutions for client engagements.
Added 56 mins ago
Distinguished Platform Engineer
ServiceNow
Santa Clara, CA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 57 mins ago
MT
Senior Design Verification Engineer
Micron Technology
Minneapolis
- $122,000 to $208,000 USD / year
Added 57 mins ago
Principal Mixed Signal Design Engineer
Micron Technology
Richardson
Added 57 mins ago
Staff Engineer, Technology - AMAIS
Micron Technology
Boise
The Advanced Modeling & AI Solutions team is seeking a Sr/Staff Technology-AMAIS Engineer to develop and deploy physics and data-driven process models, composite modeling solutions, and…
Added 59 mins ago
AI/ML Engineer (Computer Vision)
CACI, INC.-FEDERAL
Ashburn, VA
CACI is currently looking for an AI/ML Computer Vision Engineer with Agile methodology experience to join our BEAGLE (Border Enforcement Applications for Government Leading-Edge Information…
Added 1 hour ago
WI
(USA) Principal, Software Engineer
Walmart Inc.
United States
- $110,000 to $220,000 USD / year
The Principal Software Engineer leads platform engineering efforts by delivering scalable, cloud-native solutions and reusable infrastructure components. This role drives the full software…
Added 1 hour ago
Distinguished Engineer
Elevance Health
Mason, OH · Atlanta, GA · Indianapolis, IN
The Distinguished Engineer is responsible for leading the design, development, and deployment of large-scale, production-grade artificial intelligence (AI) systems and platforms that enable…
Added 1 hour ago
Data Scientist
LEIDOS, INC.
Odenton, MD
Google Professional ML Engineer, AWS Machine Learning Specialty, or NVIDIA Generative AI/LLM Associate.
Added 1 hour ago
G
Software Engineer: Robotics Controls
Generalist
Somerville, MA
- $200,000 to $350,000 USD / year
Added 1 hour ago
G
Software Engineer: ML Optimization
Generalist
Somerville, MA
- $260,000 to $350,000 USD / year
Added 1 hour ago
G
Electrical Engineer
Generalist
Somerville, MA
- $200,000 to $350,000 USD / year
Robots that learn from the world need hardware that can see, sense, and act within it. As a Hardware Engineer at Generalist, you will own electrical systems from end-to-end: from napkin…
Added 1 hour ago
G
Software Engineer: ML Infra
Generalist
Somerville, MA
- $260,000 to $350,000 USD / year
Added 1 hour ago
W
Sensor Technology Engineer
Wayve
United States
- $209,700 to $238,250 USD / year
Added 1 hour ago
Software Systems Engineer, Data Labeling Engineering - Early Career
General Motors LLC
Sunnyvale, CA
As an early-career Software Engineer on the Data Labeling Engineering team, you will build tools and services that help machine learning teams create high-quality training data for…
Added 1 hour ago
TT
Founding ML Research Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $230,000 USD / year
Added 1 hour ago
Principal Software Development Engineer (AI Innovation)
CVS Shared Services Resources LLC
Remote, United States
The Principal Software Development Engineer will drive innovative, enterprise-wide solution designs at the business unit level for highly complex, strategic initiatives. In this high-impact…
Added 1 hour ago
Cyber - AI Engineer - Manager - Consulting
EY
Annapolis, MD · Baltimore, MD
As a Cyber AI Engineer at the Manager level in EY's Cyber practice, you will work as a forward-deployed engineer, helping clients apply frontier AI cyber models to real security challenges.…
Added 1 hour ago
Information Systems Security Engineer
BOOZ, ALLEN & HAMILTON, INC.
Fort Meade, MD
…AI-enabled capabilities? As an Information Systems Security Engineer (ISSE), you will identify the security controls, assessment tools, and authorization strategies needed to ensure…
Added 1 hour ago
AI Engineer (AI Accelerator Program)
UCSF
San Francisco, CA
UCSF Health is seeking a highly skilled AI Engineer to design, build, and deploy scalable AI-driven applications that improve clinical operations, patient care, and health system…
Added 1 hour ago
Senior Solutions Engineer
Opto-Knowledge Systems Inc
Remote, United States
The Senior Solutions Engineer is the technical lead for OKSI's business development team, bridging engineering and business development. This person brings deep technical fluency in OKSI's…

ADT

Machine Learning Engineer

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

Apply About employer

Applications open in a new tab.

Job details

Experience: Experience: 3+ years of professional software engineering or machine learning engineering experience, with a proven track record of deploying models to production environments.
Posting language: English
Posted: Nov 4, 2026

Original job description

Summary:

The Machine Learning Engineer will be responsible for designing, building, and deploying production-grade machine learning models and AI systems within ADT's Data & AI organization. This role bridges the gap between data science research and software engineering, taking theoretical models and scaling them to run efficiently across ADT’s vast ecosystem - from high-throughput cloud architectures to edge devices and smart home IoT telemetry.

The ideal candidate is a software-focused engineer with deep expertise in machine learning frameworks, data pipelines, and MLOps practices. You will work closely with Data Scientists, Data Engineers, and Product teams to operationalize AI algorithms, automate model retraining cycles, and ensure our intelligence systems are secure, scalable, and highly available.

Duties and Responsibilities:

Production Deployment & Scaling: Operationalize and scale machine learning models into production systems via GCP Vertex AI, ensuring low-latency execution and high availability.
MLOps & Pipeline Automation: Design, implement, and maintain robust end-to-end ML pipelines for data preprocessing, continuous model training, and evaluation using Vertex AI Pipelines (Kubeflow/TFX) and GCP CI/CD toolchains.
Model Optimization: Optimize ML algorithms, large language models (LLMs), and deep learning models for computational efficiency using GCP infrastructure (GPUs/TPUs) and edge-computing constraints.
Monitoring & Drift Detection: Build tracking and observability systems to monitor production model performance, logging, and data/concept drift leveraging Vertex AI Model Monitoring and Google Cloud Storage solutions.
Infrastructure Collaboration: Partner with data engineering and platform teams to design, manage, and optimize scalable feature stores (Vertex AI Feature Store) and high-dimensional analytical data warehouses (BigQuery).
Cross-Functional Integration: Collaborate with software engineering and product development teams to embed ML capabilities into customer-facing ADT applications and core services via microservices/APIs.
Code Quality & Best Practices: Champion rigorous software engineering principles within the data science organization, including modular code design, comprehensive testing (unit/integration), and technical documentation.
Continuous Innovation: Stay current with the rapidly evolving ML engineering landscape, adopting cutting-edge tools, framework upgrades, and hardware accelerations to keep ADT competitive.

Minimum Qualifications:

Education: Bachelor’s degree (or equivalent experience) in Computer Science, Software Engineering, Data Science, Mathematics, or a highly quantitative field. (Master's degree preferred).
Experience: 3+ years of professional software engineering or machine learning engineering experience, with a proven track record of deploying models to production environments.
Technical Proficiency:
Advanced, production-grade proficiency in programming languages like Python, with strong object-oriented design skills.
Deep experience with core ML frameworks and libraries (e.g., PyTorch, TensorFlow, Scikit-Learn, XGBoost).
Strong familiarity with Google Cloud Platform (GCP), specifically Vertex AI (Pipelines, Feature Store, Model Registry), BigQuery, and Google Cloud Storage (GCS).
Solid experience constructing high-dimensional data pipelines using SQL, Spark on GCP, or Google Cloud Dataflow.
Software Practices: Strong understanding of Docker, Kubernetes (Google Kubernetes Engine - GKE), MLOps, CI/CD toolchains, and Bitbucket.
Ambiguity Management: Versatility to manage multiple technical priorities, apply structure to complex engineering challenges, and thrive in a fast-paced environment.

Required Licensing or Certifications:

Highly Preferred: Google Cloud Certified Professional Machine Learning Engineer or Professional Cloud Architect

Communication Skills:

Writing, Talking/Hearing on the phone (Continually=67-100% of workday)

Environment Requirements:

Remote/Home office (Continually=67-100% of the workday)

Travel:

Occasionally, less than 25%

Apply About employer

More about this job

Skills

Machine learning
Google Cloud
ML
Kubeflow
CI/CD
Deep learning
Collaboration
Data engineering
BigQuery
Microservices
Engineering principles
Documentation
Computer science
Programming languages
Python
PyTorch
TensorFlow
Scikit-learn
XGBoost
SQL
Apache Spark
Docker
Kubernetes
Atlassian Bitbucket
Communication skills

Report this job