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From Home Embedded Machine Learning Jobs in Fort Washington, MD

Mixpeek

Machine Learning Engineer

Washington, DC · On-site

$180 - $240/hr

The Machine Forward Deployed Learning Engineer position requires a mix of software development, LLM ... from first prototype to stable production, embedded alongside our defense and intelligence ...

1872 Consulting

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer D.C. Area About the Position As a member of our Engineering team, you ... from data science peers to business decision-makers * Demonstrated exploratory analysis and ...

1872 Consulting

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer D.C. Area About the Position As a member of our Engineering team, you ... from data science peers to business decision-makers * Demonstrated exploratory analysis and ...

Venturegloballng

Engineer, Machine Learning

Arlington, VA · On-site

$157K - $185K/yr

Evaluate pretrained models and software from vendors and support integration into production environments. * Develop comprehensive project plans for implementing machine learning and AI projects ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Partner with data scientists to transition models from research/prototype into production-ready ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... From employee and family events to career-long support, we create a community you'll never want to ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Partner with data scientists to transition models from research/prototype into production-ready ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Partner with data scientists to transition models from research/prototype into production-ready ...

Cymertek Corporation

Machine Learning Engineer

Reston, VA · On-site

$110 - $170/hr

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... From employee and family events to career-long support, we create a community you'll never want to ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... From employee and family events to career-long support, we create a community you'll never want to ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... From employee and family events to career-long support, we create a community you'll never want to ...

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All JobsEmbedded Machine Learning JobsFrom Home Embedded Machine Learning JobsFrom Home Embedded Machine Learning Jobs in Fort Washington, MD

From Home Embedded Machine Learning information

See Fort Washington, MD salary details

$72.1K

$158K

$179.2K

How much do from home embedded machine learning jobs pay per year?

As of Sep 6, 2026, the average yearly pay for from home embedded machine learning in Fort Washington, MD is $157,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,500.00 and $178,200.00 per year, depending on experience, location, and employer.

What job categories do people searching From Home Embedded Machine Learning jobs in Fort Washington, MD look for?

The top searched job categories for From Home Embedded Machine Learning jobs in Fort Washington, MD are:

What cities near Fort Washington, MD are hiring for From Home Embedded Machine Learning jobs?

Cities near Fort Washington, MD with the most From Home Embedded Machine Learning job openings:

From Home Embedded Machine Learning jobs near you
Infographic showing various From Home Embedded Machine Learning job openings in Fort Washington, MD as of June 2026, with employment types broken down into 2% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 1% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $157,993 per year, or $76 per hour.

Machine Learning Engineer

Mixpeek

Washington, DC • On-site

$180 - $240/hr

Other

Medical, Retirement, PTO

Posted 20 days ago

Key responsibilities

  • Contribute to the end-to-end delivery of agentic, full-stack systems built on frontier models, from prototype to stable production.

  • Build and deploy ML services leveraging LLMs, embeddings, RAG, and agent orchestration into production environments, including classified and air-gapped ones.

  • Work directly with customers to understand problems, support delivery sequencing, and ship AI applications under real-world constraints.

Job description

About Adelphi

Adelphi's Vision is to build the biggest AI Deployment company for National Security, which requires talent that is extremely good at problem solving, gets excited about National Security challenges, and thrives in software factories. We're executing a Mission that (1) Identifies the core bottlenecks in Warfighting, Intelligence and the Enterprise, (2) Assigns top talent with backgrounds in systems and machine learning engineering, and (3) Finds repeatability in solution development to target similar offices across the DoW/IC. The business has 10x'd in under two years and has built trust with the senior most leaders at the Department of War and Intelligence Community.

About the Role:

The Machine Forward Deployed Learning Engineer position requires a mix of software development, LLM Ops, and SecDevOps practices, resulting in an exciting, fast-paced engineering role. This role requires the ability to contribute to solutions across the full LLM stack, from the OS, storage, and network up to the API and transport layer. Experience in the defense or intelligence fields is required. You will contribute to end-to-end delivery of agentic, full-stack systems built on top of frontier models, from first prototype to stable production, embedded alongside our defense and intelligence customers.

Location:

This role is based in the DC/Metro area; remote candidates will be considered with 25% travel expected.

Clearance Requirement:

An active U.S. Government clearance is strongly preferred, but we are open to clearance eligible candidates.

Is this you?

We are an AI-native engineering team. We expect every engineer to leverage LLMs and AI tooling as a core part of how they design, build, ship, and operate agentic systems that turn frontier-model capability into mission outcomes.

  • You use AI coding tools (Claude Code, Cursor, Copilot) daily and instinctively.

  • You leverage LLMs across the development lifecycle, and stay current with emerging models and tooling.

  • You have working knowledge of modern agent frameworks and SDKs (LangGraph, OpenAI Agents SDK, Claude Agent SDK, AutoGen, or similar).

  • Familiarity with MCP or similar LLM integration frameworks.

  • You have a clear-eyed view of AI limitations. You know when to trust AI-generated output and when to verify.

Expectations:

  • Contribute to end-to-end delivery of agentic, full-stack systems from prototype to production, embedded alongside defense and intelligence customers.

  • Build and deploy ML services leveraging LLMs, embeddings, RAG, and agent orchestration into production environments, including classified and air-gapped ones.

  • Work directly with customers to understand problems, support delivery sequencing, and ship AI applications under real-world constraints.

  • Help codify repeatable patterns into reusable tools and building blocks that help the team ship faster.

Bonus Points:

  • Familiarity with infrastructure management (Docker, Kubernetes, AWS).

  • Exposure to encryption, authentication, Linux systems administration, DevOps, or SRE.

  • Any production experience with agentic services or forward-deployed AI applications.

  • Experience in a customer-facing or embedded delivery role.

  • Exposure to federated or privacy-preserving data architectures.

Benefits:

  • Healthcare coverage: 100% employee premium and 50% dependents premium coverage of a platinum-level plan.

  • 401K with 2% company match.

  • Equity in a seed-stage business.

  • Access to 6713 Club - a members-only club in McLean, VA.

  • $500 monthly Physical and Mental Health reimbursement program.

  • Flexible PTO policy.

  • Competitive salary and equity compensation.

  • Opportunity to work on impactful projects in the national security sector.

  • Career growth and leadership opportunities in a dynamic, innovative environment.

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