Jobs in the United States

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Senior Security Engineer, Detection Engineering
NVIDIA USA
Remote, United States
Hands-on experience building and tuning detections in a major SIEM or security analytics platform.
Added 23 mins ago
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Engineering Manager, Copilot
Twin Health
Remote, United States
- $200,000 to $220,000 USD / year
Partner with Product and Clinical Operations to set priorities, make tradeoffs, and guide the roadmap toward high user impact and service quality, using business impact data and platform…
Added 36 mins ago
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AI Engineer II
Federal Express Corporation
Memphis, TN · Coraopolis, PA · Plano, TX
- $11,410.38 USD / month
The AI Engineer is responsible for designing, developing, deploying, and maintaining artificial intelligence and machine learning solutions that support intelligent automation, predictive…
Added 1 hour ago
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Lead Principal Application Software Engineer
Oracle
United States
- $104,600 to $264,100 USD / year
We're seeking a highly skilled lead engineer to modernize OHAI’s Revenue Cycle product portfolio with AI smart applications. As an engineering lead, you will play a pivotal role in…
Added 1 hour ago
Sr. NMS (Network Management System) Engineer
Micas Networks
San Jose, CA
Hands-on experience with management protocols and data models: gNMI/gRPC, NETCONF/RESTCONF, YANG (OpenConfig), SNMP and syslog
Added 1 hour ago
Senior Site Reliability Engineer
Applaudo Studios
Louisville, KY
You are a Senior Site Reliability Engineer with strong cloud and reliability engineering fundamentals and the versatility to work across edge infrastructure, enterprise networking, mobile…
Added 1 hour ago
Solutions Engineer, Splunk
Cisco Systems, Inc.
Remote, United States
Experience with Splunk, or with a comparable log management, SIEM, or observability platform in large-scale data environments
Added 1 hour ago
Geospatial Developer
Vantor Services Inc.
Reston, VA
10 years of experience in Computer Science, GIS, Geography, or a related technical field. 2+ years of experience working with the ArcGIS platform, including ArcGIS Enterprise (Server,…
Added 1 hour ago
Machine Learning Engineer
ADT
Irving, TX · Boca Raton, FL
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…
Added 2 hours ago
Principal Software Engineer, Agentic UX
Workday, Inc.
CA
As a Principal Software Engineer, Agentic UX in Agent Factory, you’ll help build the conversational AI experience and ambient capabilities that bring Workday’s agents to life. You are an…
Added 2 hours ago
P2 SRE and Platform Engineer - Sana Search (US Federal)
Workday, Inc.
CA
We are seeking a DevOps & Platform Engineer (P2) with 2+ years of professional experience to join the Sana Search Team. In this role, you will support the day-to-day health, automation, and…
Added 2 hours ago
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Principal Software Engineer
Disney Entertainment & Sports LLC
Glendale, CA
- $191,300 to $256,500 USD / year
As the Principal Software Engineer for the Rights & Accounting team within Content Platforms, you will serve as a senior technical leader, driving engineering standards, leading…
Added 2 hours ago
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Principal Platform AI Engineer, Healthcare Agentic AI
Insight Global
Louisville-Jefferson County, KY
- From $86 USD / hour
Daily Responsibilities: A large healthcare organization is looking for a Principal Platform AI Engineer to lead hands-on engineering for its enterprise Healthcare Agentic AI Platform. This…
Added 2 hours ago
Senior AI Software Developer & Engineer (US Citizen)
Remote, United States
Expert-level Python development experience, including designing production-grade ML systems, data pipelines, and microservices-based architectures.
Added 2 hours ago
Professional Services Engineer - Federal
Hammerspace
Remote, United States
We are seeking a cleared Professional Services Engineer to deploy, configure, and optimize our AI Data Platform software within highly secure federal and defense environments. In this role,…
Added 2 hours ago
AI
Senior Software Development Engineer
ADUS-Adobe Inc.
United States
- $159,200 to $301,600 USD / year
…Creative Cloud platforms. Our Internal Services team provides the platform engineering and deployment backbone for all of these. We manage CI/CD, deployment approaches, the services and…
Added 2 hours ago
SD
Senior Software Systems Engineer
Space Dynamics Laboratory
North Logan, UT
- $143,000 to $178,000 USD / year
Experience with Red Hat OpenShift, Kubernetes, and containerized applications
Added 2 hours ago
VP, Site Reliability Engineer
SAMC SitusAMC Holdings Corp
Remote, United States
Specific compensation is determined through interviews and a review of relevant education, experience, training, skills, geographic location and alignment with market data. Additionally,…
Added 2 hours ago
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Senior CloudOps Engineer
Worldpac
Oakbrook, IL
- $150,000 to $170,000 USD / year
Position Overview Worldpac is seeking a highly experienced Senior CloudOps Engineer to design, build, operate, and continuously improve the cloud platforms that power our high-volume…
Added 2 hours ago
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Staff Security Engineer – AI - R01573022
Brillio
Seattle, WA
- $120,000 to $130,000 USD / year
Proficiency in Python or Go, with experience developing production-grade integrations, security automation tools, and security pipelines.
Added 2 hours ago
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Senior Cloud Security Engineer - R01573020
Brillio
NY
- $120,000 to $130,000 USD / year
Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.
Added 2 hours ago
Senior Software Architect - Platform
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Alpharetta, GA · Berkeley Heights, NJ
Data Commerce Solutions (DCS) is a Fiserv business unit that turns the company's differentiated data into scalable data platforms and products across credit, marketing, verification, fraud,…
Added 2 hours ago
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Infrastructure Engineer
Kastle
San Francisco, CA
- $180,000 to $275,000 USD / year
We're looking for a Senior Infrastructure Engineer with deep distributed systems expertise to design, build, and operate the infrastructure that powers Kastle's AI agents in production at…
Added 2 hours ago
Infrastructure Software Engineer II (Remote - US)
BNSF Railway
United States
Collaborate with internal application teams to improve platform usability and feedback
Added 2 hours ago
Cloud Systems Administrator
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Cloud Systems Administrator to support our mission-driven Cyber platform team. In this role, you’ll help sustain and optimize a cloud-based enterprise platform built with Java and Free and…

ADT

Machine Learning Engineer

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

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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%

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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

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