Jobs in the United States

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Added 1 min ago
RA
Senior Technical Support Engineer - PST
Rad AI
Remote, United States
- $86,000 to $115,000 USD / year
We're adding a Senior Technical Support Engineer to our Technical Support team during the fastest period of customer growth in Rad AI's history. You'll be the technical escalation point for…
Added 1 min ago
M
Senior Engineer
Motional
Remote, United States
- $168,121 to $214,200 USD / year
Added 2 mins ago
Principal Engineer - AI/ ML - Home Broadband Solutions
Verizon Data Services LLC
Irving, TX
As a Principal Engineer - AI/ML Engineering for Verizon Home Broadband, you will own the architecture, engineering standards and AI strategy of its device-telemetry analytics platform…
Added 2 mins ago
Senior Business Intelligence Engineer, North America Supply Chain Execution Strategy
Amazon.com Services LLC
Tempe, AZ · Austin, TX · Nashville, TN · Bellevue, WA · Arlington, VA
We are looking for a Senior Business Intelligence Engineer (BIE) to drive the use of AI in analytics with high exposure to executive level business decision making support. In this role you…
Added 3 mins ago
TT
Senior Forward Deployed Engineer, Operate
True Talent Solutions Partners
New York, NY
- $170,000 to $205,000 USD / year
- Fluency with JavaScript, Node.js, TypeScript, Python, Next.js, and React, plus cloud infrastructure on AWS or GCP.
Added 4 mins ago
Principle Systems Engineering- Software
AST SpaceMobile
Dallas, TX
We’re looking for a Principal Systems Engineer - Software to lead the definition, decomposition, and management of software requirements across a complex communications platform. You’ll…
Added 4 mins ago
JC
Site Reliability Engineer - FinOps Analyst
Johnson Controls Inc.
United States
- $81,058 to $95,219.8 USD / year
…a related field. Plus 2 years of experience as a SRE Cloud Engineer, Cloud FinOps Analyst or in an occupation involving systems engineering, technical management, and financial analysis.…
Added 8 mins ago
Sr. Incident Response Engineer
frontdoor, Inc.
UNAVAILABLE
Summary: As a Senior Incident Response Engineer, you will work with a team of highly capable engineers with various degrees of experience in a newly formed IR practice. The team lives the…
Added 8 mins ago
Mid-Level Data Engineer
Chenega Agile Real-Time Solutions
Springfield, VA
The Data Engineer is responsible for designing, developing, and maintaining enterprise data pipelines, dashboards, and visualization solutions that support operational monitoring,…
Added 10 mins ago
Senior Business Intelligence Engineer
Humana Insurance Company
Remote, United States
The Senior Business Intelligence (BI) Engineer engages with business value streams on diverse and complex opportunities leveraging a variety of technology platforms. The individual will…
Added 11 mins ago
Staff Software Development Engineer - Digital
CVS Health
Work at Home, TX
CVS Health is seeking a Staff Software Development Engineer to lead the design and delivery of Provider facing scalable, high-impact software solutions supporting enterprise healthcare…
Added 12 mins ago
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Product Engineer Intern
Skyworks
Chelmsford
- $23 to $49 USD / hour
Currently pursuing BS (Junior or Senior), MS, PhD in Electrical Engineering
Added 13 mins ago
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Senior Principal AI Engineer
Rapid7
Remote, United States
- $238,200 to $322,200 USD / year
As a Senior Principal AI Engineer, you will set the technical direction for how Rapid7 builds, tunes and serves LLMs and agentic systems across its security products. You understand LLMs…
Added 16 mins ago
Solutions Architect - Retail
Databricks
Remote, United States
6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
Added 17 mins ago
TL
AI Infrastructure Engineer [Tooling]
Tessera Labs
Remote, United States
- $200,000 to $230,000 USD / year
As an AI Infrastructure Engineer, you'll design, build, and own the tooling and services that take Tessera's AI agents from a developer's laptop to production in customer clouds. You'll…
Added 17 mins ago
Senior Software Engineer
7-Eleven
Irving, TX
The Senior Software Engineer is a hands-on technical contributor within 7-Eleven’s Marketing Technology (MarTech) organization, responsible for designing, building, and operating the…
Added 17 mins ago
Full Stack Software Engineer - Vice President
Citigroup
Irving, TX
The Full Stack Software Engineer is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology…
Added 17 mins ago
Manager, Machine Learning
Toyota
Plano, TX
Most importantly, you are a people leader who coaches engineers and senior ICs, gives direct and actionable feedback, grows technical ownership, and builds a team environment where…
Added 17 mins ago
Senior Specialist, Software Engineering (Application)
L3Harris
Plano, TX
As a Senior Specialist, Software Engineer (Application), you will be responsible for supporting and leading the development and execution of software interfacing with the targeted hardware.…
Added 18 mins ago
R
Staff Platform Engineer
Redox
Remote, United States
- $185,000 to $210,000 USD / year
We’re looking for a Staff Platform Engineer who is a highly capable, hands-on contributor. You’ll pick up an ambiguous lane of work, scope it, prototype and experiment, and then carry it…
Added 19 mins ago
Senior Kafka SRE Engineer
Charles Schwab
Austin, TX
We are seeking a Kafka Site Reliability Engineer to help build, operate, and continuously improve Schwab's enterprise streaming platform ecosystem. This role combines deep expertise in…
Added 19 mins ago
H
Test Automation Engineer
Halvik
McLean, VA
- $110,000 to $140,000 USD / year
Collaboration: Coordinate with developers, the Senior Business Analyst / QA Analyst, the Cloud Engineer / DevSecOps / CI-CD, the Solutions Architect, and the Scrum Master to turn user…
Added 19 mins ago
Senior Network Engineer WAN and Cloud Connectivity GCS Associate Director
EY
Austin, TX · Dallas, TX · Fort Worth, TX
The Senior Network Engineer - WAN & Cloud Connectivity within Global Connectivity Solutions (GCS) is responsible for the engineering, implementation, optimisation, automation, and lifecycle…
Added 19 mins ago
Field Applications Engineer (NCG) – Datacenter & Power Solutions
Renesas
Austin, TX
Partner with senior Field Applications Engineers to support customer programs from initial design through validation and production.
Added 19 mins ago
Senior System Dev Engineer, Data Center Engineering
Amazon
Austin, TX
Amazon's Data Center Engineering organization, within the Controls Design eXecution (CDX) org, is seeking a Senior Systems Development Engineer (SysDE) to join our Mechanical Controls…

ADT

Machine Learning Engineer

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

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Job details

Apply by: Oct 30, 2026
Posting language: English
Posted: Oct 29, 2026

Original job description

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.

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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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