1745 IT & Software Developer jobs in the US
Adversarial AI engineer
$90,000 - 130,000
Federal Drive 9970, Colorado Springs
$90,000 - 130,000
Requirements
Must:
- Proven engineering experience in developing tools, frameworks, and automation linked with GitLab, cloud, DevSecOps, or CI/CD methodologies.
- Strong background in containerizing applications (e.g., Docker, Podman) and scaling deployments within Kubernetes/OpenShift environments through infrastructure-as-code tools (e.g., Ansible, Helm).
- Capable of producing high-quality documentation, including design specifications, runbooks, and API guides.
- Experience in developing microservices, preferably using Python.
- Familiarity with constructing AI agents utilizing various frameworks (e.g., CrewAI, AutoGen, LangChain/LangGraph).
- Background in deep learning frameworks such as PyTorch and TensorFlow.
- Understanding of AI security and adversarial machine learning techniques.
Responsibilities
- Work collaboratively with multiple AI Red Teams to design, architect, and deploy adversarial AI capabilities for autonomous agents, computer vision systems, and RF/EW systems, transforming cutting-edge research into production-ready solutions.
- Create a modular and extensible red-teaming framework that facilitates repeatable, user-driven evaluations.
- Develop user-facing interfaces and workflows (CLI, web UI, APIs, CI/CD pipelines) along with documentation to empower internal and future third-party users in conducting red team operations with minimal expertise.
- Integrate open-source, commercial, and inner-source technologies into a streamlined platform, managing packaging, versioning, releases, dependencies, and ongoing maintenance.
- Establish and maintain CI/CD pipelines (such as GitLab, Azure DevOps, or similar) equipped with automated testing, security assessments, and deployment to cloud and containerized/VM environments.
- Collaborate with Infrastructure Operations (InfraOps) teams on Linux environments, focusing on virtualization, containerization, cloud configurations, orchestration, compliance with DISA STIG, and lifecycle upkeep.
- Implement observability features (structured logging, metrics, dashboards) using tools like Splunk, Prometheus, Grafana, LangFuse, OpenTelemetry, ensuring thorough traceability for debugging and operational reliability.
- Develop GPU-enabled software processes (NVIDIA drivers, CUDA, container runtimes) while consistently enhancing performance and stability.
- Advocate for secure development practices by incorporating threat modeling, code reviews, and DevSecOps controls throughout the software lifecycle.
- Manage development and deployment activities across classified and unclassified environments, assuring secure and reliable operations.
Description
We are on the lookout for an accomplished software engineer to join our dedicated team in the development of an AI red teaming platform. This role focuses on creating advanced adversarial AI tools to support Lockheeds AI Center Red Team, functioning in both classified and unclassified settings. Our work involves integrating various AI utilities and providing a cohesive user interface for thorough assessments across diverse applications. We pride ourselves on flexible work arrangements, fostering a company culture that emphasizes innovation, empowerment, and personal growth. This hybrid role provides mostly remote work opportunities, although occasional onsite presence near major Lockheed Martin locations, such as Moorestown NJ, Dallas TX, or Orlando FL, is required.
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You can find Machine Learning Engineer salaries in the United States here.
How many Machine Learning Engineer jobs are in the United States?
Currently, there are 1745 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the US a good place for Machine Learning Engineers?
The US is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Machine Learning Engineer jobs in the United States?
micro1, Infovirtuel, Consultation Devpresso Inc, Astrion, Navy Federal Credit Union, KORE1 Technologies, Execusource, Inc among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Jobot as they are hiring for 139 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Jobot as they are hiring for 139 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.