AI/ML Software Engineer - Top Secret SCI clearance required

Job description:

You MUST be a US Citizen AND HOLD an ACTIVE TS/SCI clearance.

We are looking for an engineer with a solid foundation in artificial intelligence and machine learning applications to help us solve challenging problems related to signal processing. the right candidate will have a high degree of drive and dedication, and the ability to learn quickly, work well within a team, and hit the ground running.
BS degree or higher in computer science, electrical engineering, computer engineering, mathematics, or related field
minimum 1-year hands-on experience in ai or ml in a professional environment (3-5 years preferred)
strong knowledge of machine learning model development, deployment, and modern ml libraries (tensorflow, pytorch, scikit-learn, etc.)
solid programming background with experience using statistical and signal analysis libraries
experience with neural network architectures including deep learning models
understanding of transformer architectures and attention mechanisms
strong understanding of mlops, deployment and processing pipelines, testing/validation
ts/sci active clearance required. u.s. citizenship required
nice to have, but not required:
understanding of digital signal processing fundamentals
experience with rfml
experience with large language models (llms) including fine-tuning and prompt engineering
knowledge of ai applications for autonomous decision-making and analysis
additional consideration for experience with multimodal, agentic systems using rag, cot, or marl approaches
experience with reinforcement learning, human feedback, and related system learning methods
experience creating and deploying containerized ai models with docker/kubernetes
working with cloud ai platforms (aws bedrock, azure openai, google vertex ai)
experience with model monitoring, a/b testing, and performance optimization
experience with real-time inference systems and low-latency model serving
knowledge of adversarial ml and ai security/robustness techniques
experience with graph neural networks for network analysis
experience in design, deployment, support of ai or ml model for significant real-world applications
description job duties:
you will be responsible for designing, developing, and implementing ai/ml solutions for a wide range of decision-making and sigint processing needs. this includes working with time-series data and developing models for event characterization, pattern recognition, anomaly detection, decision making, and automated analysis of sigint sensor systems. you will work with team leads to integrate ai/ml capabilities into enterprise architectures, ensuring performant processing while considering aspects of accuracy, security, and maintainability.
this also includes enabling autonomous decision-making systems that can operate with minimal human intervention, creating adaptive processing systems for dynamic environments, and discovering features and inferring system states from the underlying data streams. you will work towards solutions for large-scale sensing systems, implementing tailored models deliver intelligent insights in support of critical intelligence community and department of defense missions.

Qualifications:

We are looking for an engineer with a solid foundation in artificial intelligence and machine learning applications to help us solve challenging problems related to signal processing. the right candidate will have a high degree of drive and dedication, and the ability to learn quickly, work well within a team, and hit the ground running.
BS degree or higher in computer science, electrical engineering, computer engineering, mathematics, or related field
minimum 1-year hands-on experience in ai or ml in a professional environment (3-5 years preferred)
strong knowledge of machine learning model development, deployment, and modern ml libraries (tensorflow, pytorch, scikit-learn, etc.)
solid programming background with experience using statistical and signal analysis libraries
experience with neural network architectures including deep learning models
understanding of transformer architectures and attention mechanisms
strong understanding of mlops, deployment and processing pipelines, testing/validation
ts/sci active clearance required. u.s. citizenship required
nice to have, but not required:
understanding of digital signal processing fundamentals
experience with rfml
experience with large language models (llms) including fine-tuning and prompt engineering
knowledge of ai applications for autonomous decision-making and analysis
additional consideration for experience with multimodal, agentic systems using rag, cot, or marl approaches
experience with reinforcement learning, human feedback, and related system learning methods
experience creating and deploying containerized ai models with docker/kubernetes
working with cloud ai platforms (aws bedrock, azure openai, google vertex ai)
experience with model monitoring, a/b testing, and performance optimization
experience with real-time inference systems and low-latency model serving
knowledge of adversarial ml and ai security/robustness techniques
experience with graph neural networks for network analysis
experience in design, deployment, support of ai or ml model for significant real-world applications
description job duties:
you will be responsible for designing, developing, and implementing ai/ml solutions for a wide range of decision-making and sigint processing needs. this includes working with time-series data and developing models for event characterization, pattern recognition, anomaly detection, decision making, and automated analysis of sigint sensor systems. you will work with team leads to integrate ai/ml capabilities into enterprise architectures, ensuring performant processing while considering aspects of accuracy, security, and maintainability.
this also includes enabling autonomous decision-making systems that can operate with minimal human intervention, creating adaptive processing systems for dynamic environments, and discovering features and inferring system states from the underlying data streams. you will work towards solutions for large-scale sensing systems, implementing tailored models deliver intelligent insights in support of critical intelligence community and department of defense missions.

Why is This a Great Opportunity:

We are looking for an engineer with a solid foundation in artificial intelligence and machine learning applications to help us solve challenging problems related to signal processing. the right candidate will have a high degree of drive and dedication, and the ability to learn quickly, work well within a team, and hit the ground running.

Salary Type : Annual Salary

Salary Min : $ 140000

Salary Max : $ 190000

Currency Type : USD