Job Requirements
Remote
Clearance Unspecified Polygraph not specified
Early Career (2+ yrs experience)
$130,000 - $170,000
Job Description
Expression is seeking an experienced AI/ML Engineer to design, optimize, and evaluate
machine learning capabilities that operate efficiently on heterogeneous edge computing
platforms. Working closely with software engineers, you will develop AI pipelines that
enable intelligent signal characterization, data prioritization, distributed inference, and
decision support while operating within constrained compute, bandwidth, and
communications environments.
The ideal candidate has strong expertise in applied machine learning, modern LLM
technologies, edge AI optimization, and production deployment of AI systems.
Security Clearance: Eligible to obtain Secret or Top Secret Clearance (U.S citizenship
required)
Responsibilities:
● Design and implement AI capabilities supporting intelligent data
characterization, classification, prioritization, and decision support.
● Evaluate, optimize, and deploy open-weight foundation models appropriate for
resource-constrained edge environments.
● Develop efficient inference pipelines supporting heterogeneous compute
environments ranging from embedded processors to workstation-class
systems.
● Implement Retrieval-Augmented Generation (RAG), semantic search, and
knowledge retrieval capabilities where appropriate.
● Design AI orchestration workflows supporting distributed inference across
multiple edge devices.
● Develop evaluation methodologies for AI accuracy, latency, resource
utilization, and operational performance.
, ● Implement model monitoring, observability, testing, and automated evaluation
frameworks.
● Collaborate with software engineers to integrate AI models into production
software platforms.
● Optimize models using quantization, pruning, distillation deployment
technologies.
● Support experimentation involving multimodal data sources, sensor-derived
features, and structured mission data.
● Develop AI governance practices including model evaluation, explainability,
responsible AI, and secure deployment.
● Document model development, evaluation results, and technical
recommendations.
● Support customer demonstrations and prototype evaluations.
Required Qualifications:
● Bachelor degree in Computer Science, Artificial Intelligence, Data Science,
Electrical Engineering, Applied Mathematics, or related discipline. An
advanced degree is preferred.
● 5-8+ years of professional experience developing production AI or machine
learning applications.
● Strong Python programming experience.
● Experience with PyTorch.
● Experience deploying LLMs in production environments.
● Experience with LangGraph, LangChain, CrewAI, Semantic Kernel, or similar
orchestration frameworks.
, ● Experience implementing Retrieval-Augmented Generation (RAG).
● Experience with vector databases and semantic search.
● Experience deploying AI models on edge or resource-constrained devices.
● Experience with model optimization techniques including quantization, model
compression, or inference acceleration.
● Experience designing evaluation frameworks for AI systems.
● Experience with Docker and cloud-native AI deployment.
● Excellent communication and collaboration skills.
Preferred Qualifications:
● Experience applying AI to sensor analytics, time-series data, or signal
processing.
● Experience with software-defined radio data, RF analytics, or geospatial data
analytics.
● Experience developing multimodal AI applications.
● Experience deploying AI across distributed edge computing environments..
● Experience supporting DoD, Intelligence Community, or Federal customers.
● Experience working in bandwidth-constrained or disconnected operational
environments.
● Experience supporting National Security or Federal Civilian customers.
Location: Hybrid or Remote with limited travel
Benefits:
,Expression offers competitive salaries and benefits, such as:
● 401k matching
● PPO and HDHP medical/dental/vision insurance
● Education reimbursement up to $10,000/yr
● Complimentary life insurance
● Generous PTO and 11 days of holiday leave
● Onsite gym facility and trainer
● Commuter Benefits Plan
● In-office Cold Brew Coffee
About Expression:
Founded in 1997 and headquartered in Washington DC, Expression provides data
fusion, data analytics, AI/ML, software engineering, information technology, and
electromagnetic spectrum management solutions to the U.S. Department of Defense,
Department of State, and national security community. Expression’s culture focuses on
creating immediate and sustainable value for our clients via agile delivery of tailored
solutions built through constant engagement with our clients. Expression was ranked
#1 on the Washington Technology 2018's Fast 50 list of fastest-growing small business
Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.
We make sure to provide everyone with the tools and opportunities to grow while
working on some of the newest technologies in the industry. We get excited about
celebrating our professionals' milestones, accomplishments, promotions, overcoming
challenges, and many other aspects that make an engaging collaborative environment.
,Equal Opportunity Employer/Veterans/Disabled
Expression is an Equal Opportunity Employer. If you require a reasonable
accommodation during the application or interview process, please submit your request
to our Human Resources department through the application portal.
machine learning capabilities that operate efficiently on heterogeneous edge computing
platforms. Working closely with software engineers, you will develop AI pipelines that
enable intelligent signal characterization, data prioritization, distributed inference, and
decision support while operating within constrained compute, bandwidth, and
communications environments.
The ideal candidate has strong expertise in applied machine learning, modern LLM
technologies, edge AI optimization, and production deployment of AI systems.
Security Clearance: Eligible to obtain Secret or Top Secret Clearance (U.S citizenship
required)
Responsibilities:
● Design and implement AI capabilities supporting intelligent data
characterization, classification, prioritization, and decision support.
● Evaluate, optimize, and deploy open-weight foundation models appropriate for
resource-constrained edge environments.
● Develop efficient inference pipelines supporting heterogeneous compute
environments ranging from embedded processors to workstation-class
systems.
● Implement Retrieval-Augmented Generation (RAG), semantic search, and
knowledge retrieval capabilities where appropriate.
● Design AI orchestration workflows supporting distributed inference across
multiple edge devices.
● Develop evaluation methodologies for AI accuracy, latency, resource
utilization, and operational performance.
, ● Implement model monitoring, observability, testing, and automated evaluation
frameworks.
● Collaborate with software engineers to integrate AI models into production
software platforms.
● Optimize models using quantization, pruning, distillation deployment
technologies.
● Support experimentation involving multimodal data sources, sensor-derived
features, and structured mission data.
● Develop AI governance practices including model evaluation, explainability,
responsible AI, and secure deployment.
● Document model development, evaluation results, and technical
recommendations.
● Support customer demonstrations and prototype evaluations.
Required Qualifications:
● Bachelor degree in Computer Science, Artificial Intelligence, Data Science,
Electrical Engineering, Applied Mathematics, or related discipline. An
advanced degree is preferred.
● 5-8+ years of professional experience developing production AI or machine
learning applications.
● Strong Python programming experience.
● Experience with PyTorch.
● Experience deploying LLMs in production environments.
● Experience with LangGraph, LangChain, CrewAI, Semantic Kernel, or similar
orchestration frameworks.
, ● Experience implementing Retrieval-Augmented Generation (RAG).
● Experience with vector databases and semantic search.
● Experience deploying AI models on edge or resource-constrained devices.
● Experience with model optimization techniques including quantization, model
compression, or inference acceleration.
● Experience designing evaluation frameworks for AI systems.
● Experience with Docker and cloud-native AI deployment.
● Excellent communication and collaboration skills.
Preferred Qualifications:
● Experience applying AI to sensor analytics, time-series data, or signal
processing.
● Experience with software-defined radio data, RF analytics, or geospatial data
analytics.
● Experience developing multimodal AI applications.
● Experience deploying AI across distributed edge computing environments..
● Experience supporting DoD, Intelligence Community, or Federal customers.
● Experience working in bandwidth-constrained or disconnected operational
environments.
● Experience supporting National Security or Federal Civilian customers.
Location: Hybrid or Remote with limited travel
Benefits:
,Expression offers competitive salaries and benefits, such as:
● 401k matching
● PPO and HDHP medical/dental/vision insurance
● Education reimbursement up to $10,000/yr
● Complimentary life insurance
● Generous PTO and 11 days of holiday leave
● Onsite gym facility and trainer
● Commuter Benefits Plan
● In-office Cold Brew Coffee
About Expression:
Founded in 1997 and headquartered in Washington DC, Expression provides data
fusion, data analytics, AI/ML, software engineering, information technology, and
electromagnetic spectrum management solutions to the U.S. Department of Defense,
Department of State, and national security community. Expression’s culture focuses on
creating immediate and sustainable value for our clients via agile delivery of tailored
solutions built through constant engagement with our clients. Expression was ranked
#1 on the Washington Technology 2018's Fast 50 list of fastest-growing small business
Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.
We make sure to provide everyone with the tools and opportunities to grow while
working on some of the newest technologies in the industry. We get excited about
celebrating our professionals' milestones, accomplishments, promotions, overcoming
challenges, and many other aspects that make an engaging collaborative environment.
,Equal Opportunity Employer/Veterans/Disabled
Expression is an Equal Opportunity Employer. If you require a reasonable
accommodation during the application or interview process, please submit your request
to our Human Resources department through the application portal.
group id: 10196618