Overview
On Site
170k - 210k
Full Time
Skills
SaaS
Recruiting
Spectrum
Innovation
Python
TensorFlow
PyTorch
Google Cloud Platform
Google Cloud
Amazon Web Services
Microsoft Azure
Lifecycle Management
Vertex
Cyber Security
Artificial Intelligence
Research
Publications
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Cloud Computing
Management
Collaboration
Insurance
SAP BASIS
Security Clearance
Job Details
Senior Machine Learning Engineer / Senior AI Engineer| Full Time - Rosslyn, VA
A Defense Tech and SaaS company located onsite in Rosslyn, VA is hiring a full-time Senior Machine Learning Engineer or Senior AI Engineer. They build advanced cybersecurity and electromagnetic-spectrum defense technology, used across U.S. government agencies and critical infrastructure. You'll be working hands-on with modern machine learning tools and deploying models into real-world production systems, leveraging cloud platforms like Google Cloud Platform Vertex, AWS, and Azure. This is a high-impact opportunity for engineers looking to apply ML/AI in national security and mission-critical environments.
This is an opportunity to help shape the future of national defense and cybersecurity. Their product pioneered Attack Surface Management, now a standard across Federal, State, and Fortune 500 systems. They're looking for a driven AI/ML expert who can work closely with their Staff AI Engineer to both develop and deploy models directly into operational environments. You'll gain exposure to highly secure, multi-cloud systems, work in a close-knit and brilliant engineering team, and benefit from a culture that prioritizes growth, innovation, and real-world impact.
Required Skills & Experience
4+ years of experience in Machine Learning or AI engineering
Proven track record of deploying models into production
Strong experience with Python, TensorFlow or PyTorch
Hands-on experience with Google Cloud Platform, AWS, or Azure (multi-cloud is a plus)
Strong understanding of MLOps and model lifecycle management
Desired Skills & Experience
Familiarity with Google Vertex AI
Experience in cybersecurity or national defense settings
Exposure to RAG (Retrieval Augmented Generation) or fine-tuning LLMs
Active clearance (Top Secret or TS/SCI) is a major plus
Background in AI research or academic publications
What You Will Be Doing
Tech Breakdown
50% Machine Learning Model Development
30% MLOps / Deployment
20% Cross-functional Systems/Cloud Engineering
Daily Responsibilities
70% Hands-On Engineering
10% Management Duties
20% Team Collaboration
The Offer
Bonus + Equity eligible
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Paid Vacation Time
Stock Options / Equity Participation
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Clearance is not required, but candidates must be eligible for a clearance.
Senior Machine Learning Engineer / Senior AI Engineer | Full Time - Rosslyn, VA
A Defense Tech and SaaS company located onsite in Rosslyn, VA is hiring a full-time Senior Machine Learning Engineer or Senior AI Engineer. They build advanced cybersecurity and electromagnetic-spectrum defense technology, used across U.S. government agencies and critical infrastructure. You'll be working hands-on with modern machine learning tools and deploying models into real-world production systems, leveraging cloud platforms like Google Cloud Platform Vertex, AWS, and Azure. This is a high-impact opportunity for engineers looking to apply ML/AI in national security and mission-critical environments.
This is an opportunity to help shape the future of national defense and cybersecurity. Their product pioneered Attack Surface Management, now a standard across Federal, State, and Fortune 500 systems. They're looking for a driven AI/ML expert who can work closely with their Staff AI Engineer to both develop and deploy models directly into operational environments. You'll gain exposure to highly secure, multi-cloud systems, work in a close-knit and brilliant engineering team, and benefit from a culture that prioritizes growth, innovation, and real-world impact.
Required Skills & Experience
4+ years of experience in Machine Learning or AI engineering
Proven track record of deploying models into production
Strong experience with Python, TensorFlow or PyTorch
Hands-on experience with Google Cloud Platform, AWS, or Azure (multi-cloud is a plus)
Strong understanding of MLOps and model lifecycle management
Desired Skills & Experience
Familiarity with Google Vertex AI
Experience in cybersecurity or national defense settings
Exposure to RAG (Retrieval Augmented Generation) or fine-tuning LLMs
Active clearance (Top Secret or TS/SCI) is a major plus
Background in AI research or academic publications
What You Will Be Doing
Tech Breakdown
50% Machine Learning Model Development
30% MLOps / Deployment
20% Cross-functional Systems/Cloud Engineering
Daily Responsibilities
70% Hands-On Engineering
10% Management Duties
20% Team Collaboration
The Offer
Bonus + Equity eligible
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Paid Vacation Time
Stock Options / Equity Participation
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Clearance is not required, but candidates must be eligible for a clearance.
#KW-LI1
A Defense Tech and SaaS company located onsite in Rosslyn, VA is hiring a full-time Senior Machine Learning Engineer or Senior AI Engineer. They build advanced cybersecurity and electromagnetic-spectrum defense technology, used across U.S. government agencies and critical infrastructure. You'll be working hands-on with modern machine learning tools and deploying models into real-world production systems, leveraging cloud platforms like Google Cloud Platform Vertex, AWS, and Azure. This is a high-impact opportunity for engineers looking to apply ML/AI in national security and mission-critical environments.
This is an opportunity to help shape the future of national defense and cybersecurity. Their product pioneered Attack Surface Management, now a standard across Federal, State, and Fortune 500 systems. They're looking for a driven AI/ML expert who can work closely with their Staff AI Engineer to both develop and deploy models directly into operational environments. You'll gain exposure to highly secure, multi-cloud systems, work in a close-knit and brilliant engineering team, and benefit from a culture that prioritizes growth, innovation, and real-world impact.
Required Skills & Experience
4+ years of experience in Machine Learning or AI engineering
Proven track record of deploying models into production
Strong experience with Python, TensorFlow or PyTorch
Hands-on experience with Google Cloud Platform, AWS, or Azure (multi-cloud is a plus)
Strong understanding of MLOps and model lifecycle management
Desired Skills & Experience
Familiarity with Google Vertex AI
Experience in cybersecurity or national defense settings
Exposure to RAG (Retrieval Augmented Generation) or fine-tuning LLMs
Active clearance (Top Secret or TS/SCI) is a major plus
Background in AI research or academic publications
What You Will Be Doing
Tech Breakdown
50% Machine Learning Model Development
30% MLOps / Deployment
20% Cross-functional Systems/Cloud Engineering
Daily Responsibilities
70% Hands-On Engineering
10% Management Duties
20% Team Collaboration
The Offer
Bonus + Equity eligible
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Paid Vacation Time
Stock Options / Equity Participation
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Clearance is not required, but candidates must be eligible for a clearance.
Senior Machine Learning Engineer / Senior AI Engineer | Full Time - Rosslyn, VA
A Defense Tech and SaaS company located onsite in Rosslyn, VA is hiring a full-time Senior Machine Learning Engineer or Senior AI Engineer. They build advanced cybersecurity and electromagnetic-spectrum defense technology, used across U.S. government agencies and critical infrastructure. You'll be working hands-on with modern machine learning tools and deploying models into real-world production systems, leveraging cloud platforms like Google Cloud Platform Vertex, AWS, and Azure. This is a high-impact opportunity for engineers looking to apply ML/AI in national security and mission-critical environments.
This is an opportunity to help shape the future of national defense and cybersecurity. Their product pioneered Attack Surface Management, now a standard across Federal, State, and Fortune 500 systems. They're looking for a driven AI/ML expert who can work closely with their Staff AI Engineer to both develop and deploy models directly into operational environments. You'll gain exposure to highly secure, multi-cloud systems, work in a close-knit and brilliant engineering team, and benefit from a culture that prioritizes growth, innovation, and real-world impact.
Required Skills & Experience
4+ years of experience in Machine Learning or AI engineering
Proven track record of deploying models into production
Strong experience with Python, TensorFlow or PyTorch
Hands-on experience with Google Cloud Platform, AWS, or Azure (multi-cloud is a plus)
Strong understanding of MLOps and model lifecycle management
Desired Skills & Experience
Familiarity with Google Vertex AI
Experience in cybersecurity or national defense settings
Exposure to RAG (Retrieval Augmented Generation) or fine-tuning LLMs
Active clearance (Top Secret or TS/SCI) is a major plus
Background in AI research or academic publications
What You Will Be Doing
Tech Breakdown
50% Machine Learning Model Development
30% MLOps / Deployment
20% Cross-functional Systems/Cloud Engineering
Daily Responsibilities
70% Hands-On Engineering
10% Management Duties
20% Team Collaboration
The Offer
Bonus + Equity eligible
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Paid Vacation Time
Stock Options / Equity Participation
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Clearance is not required, but candidates must be eligible for a clearance.
#KW-LI1
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.