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Ai Optimization Jobs in Washington (NOW HIRING)

Hatch IT

AI/ML Engineer

Washington, DC · Remote

$130K - $170K/yr

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 ...

Expression

AI/ML Engineer

Washington, DC · On-site

$130K - $170K/yr

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 ...

Hatch IT

AI/ML Engineer

Washington, DC

$130K - $170K/yr

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 ...

Expression

AI/ML Engineer

Washington, DC · On-site +1

$130K - $170K/yr

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 ...

Expression Networks

AI/ML Engineer

Washington, DC · On-site

$130K - $170K/yr

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 ...

N2IA Technologies

Software Developer Senior

Washington, DC

$61.75 - $81.50/hr

Optimization: Fine-tune model prompts and monitor AI performance/costs. What We're Looking For: * "Full-Stack" Mindset: from debugging a CSS alignment issue to a timeout in a Python based Lambda, to ...

N2IA Technologies

Software Developer Senior

Washington, DC · Remote

$160K - $195K/yr

Optimization: Fine-tune model prompts and monitor AI performance/costs. What We're Looking For: * "Full-Stack" Mindset: from debugging a CSS alignment issue to a timeout in a Python based Lambda, to ...

BigBear.ai

Software Engineer (AI Infrastructure)

Columbia, MD · On-site

$170K - $201K/yr

Experience with high-volume web application architecture and performance optimization * Strong ... Experience with AI inference serving technologies (vLLM, LiteLLM, etc.) * Previous experience with ...

Bigbear.ai

Software Engineer (AI Infrastructure)

Columbia, MD · On-site

$170K - $201K/yr

Experience with high-volume web application architecture and performance optimization * Strong ... Experience with AI inference serving technologies (vLLM, LiteLLM, etc.) * Previous experience with ...

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All JobsAi Optimization JobsAi Optimization Jobs in Washington

Ai Optimization information

What is AI optimization?

AI optimization involves developing and applying algorithms to improve the performance, accuracy, and efficiency of artificial intelligence models. AI optimization specialists often work with machine learning techniques, tuning parameters, and using tools like TensorFlow or PyTorch to enhance model outcomes and operational effectiveness.

What are the key skills and qualifications needed to thrive as an AI Optimization Specialist, and why are they important?

To thrive as an AI Optimization Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by a degree in a related field. Proficiency with programming languages like Python, optimization frameworks (such as TensorFlow or PyTorch), and knowledge of cloud platforms are typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable solutions. These skills ensure the development of efficient, scalable AI models that drive business value and innovation.

Which 3 jobs will survive AI?

AI optimization professionals, data scientists, and cybersecurity specialists are likely to continue thriving as their roles involve complex problem-solving, strategic decision-making, and safeguarding systems beyond AI's current capabilities. These jobs require advanced skills, critical thinking, and adaptability that are difficult for AI to fully replicate. Continuous learning and certification in relevant tools enhance job security in these fields.

What is the difference between Ai Optimization vs Data Scientist?

AspectAi OptimizationData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI-focused teams, R&D departmentsResearch institutions, tech firms, finance, healthcare
Employer & Industry UsagePrimarily in AI development, machine learning optimization projectsData analysis, predictive modeling, data-driven decision making

Ai Optimization specialists focus on enhancing AI models' performance and efficiency, often working on machine learning algorithms and deployment. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and knowledge of data and algorithms, Ai Optimization is more specialized in refining AI systems, whereas Data Scientists have a broader scope in data analysis and interpretation.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles are usually found in large tech companies or startups with significant AI investments and may involve leadership, strategic planning, and cutting-edge development.

What are some common challenges faced by professionals in AI Optimization roles, and how can they be overcome?

Professionals in AI Optimization often encounter challenges such as balancing model accuracy with computational efficiency, handling large and complex datasets, and staying updated with rapidly evolving algorithms. To overcome these, it's important to collaborate closely with data engineers and domain experts, utilize scalable computing resources, and continuously invest in learning new optimization techniques. Participating in knowledge-sharing forums and leveraging open-source tools can also help address these challenges effectively.

Which AI job is high paying?

High-paying AI jobs include roles such as AI Research Scientist, Machine Learning Engineer, and Data Scientist, often requiring advanced degrees and expertise in programming, statistics, and deep learning frameworks. These positions typically offer salaries above industry average due to their specialized skills and demand in sectors like technology, finance, and healthcare.
What are popular job titles related to Ai Optimization jobs in Washington? For Ai Optimization jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Ai Optimization jobs in Washington look for? The top searched job categories for Ai Optimization jobs in Washington are:
What cities in Washington are hiring for Ai Optimization jobs? Cities in Washington with the most Ai Optimization job openings:
Ai Optimization jobs near you
Infographic showing various Ai Optimization job openings in Washington as of July 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

AI/ML Engineer

Hatch IT

Washington, DC • Remote

$130K - $170K/yr

Full-time

Posted 22 days ago

Job description

hatch I.T. is partnering with Expression to find an AI/ML Engineer. See details below:

About The Role:

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)

About the Company:

Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, 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 “Perpetual Innovation” culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their 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.

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.
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.

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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.