Top 1878 Machine learning engineer Jobs in Arlington, Va

Senior Software Engineer (Gen AI)
Freddie Mac —McLean, VA
- $129,000 - $193,000 a year
- Full-time
- Computer science
- Azure
- Computer Science
AI & ML Engineer
Glint Tech Solutions LLC —Washington, DC
- Java
- SQL
- Senior level
Quick Apply
Machine Learning Engineer - Remote
Halvik —Vienna, VA
- $140,000 - $150,000 a year
- Full-time
- Hybrid work
- 5 years
- Math
- Mentoring
Quick Apply
Machine Learning Engineer
Somatus, Inc. —McLean, VA
- $105,000 - $115,000 a year
- Full-time
- Remote
- Azure
- Master's degree
- SQL
- Continuing education credits
- Health insurance
AI/ML Engineer
Castalia Systems —Arlington, VA
- $135,000 - $145,000 a year
- Full-time
- 5 years
- Bachelor of Science
- Analysis skills
- Paid training
- Paid holidays
Quick Apply
2d
Federal AI Solutions Engineer (Entry Level)
A-TEK Inc. —McLean, VA
- $85,000 - $105,000 a year
- Hybrid work
- Computer Science
- Databases
- Analysis skills
- Paid holidays
- Health insurance
Quick Apply
AI Engineer
Platinum Technologies —Washington, DC
- $160,000 - $180,000 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
Quick Apply
AI Engineer/Solution Architect
Andrew Morgan —Arlington, VA
- Remote
- Computer Science
- Research
- Mid-level
- Paid training
- Paid holidays
Quick Apply
Machine Learning Engineer
Kitware —Arlington, VA
- $110,000 - $160,000 a year
- Full-time
- Computer Science
- Office
- Master's degree
- Disability insurance
- Health insurance
Quick Apply
AI/ML Engineer
Code Plus Inc —Fairfax, VA
- Full-time
- Azure
- Mid-level
- 3 years
Quick Apply
6d
Machine Learning / Data Science Engineer
CapTech Consulting —Reston, VA
- $90,000 - $200,000 a year
- Full-time
- Azure
- Management
- DevOps
- Loan repayment program
- Disability insurance
Quick Apply
AI Engineer
D. Kent Consulting Group, LLC —Springfield, VA
- $100 an hour
- Part-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
- Health insurance
- Dental insurance
Quick Apply
ML/AI Engineer
Deltek, Inc. —Herndon, VA
- $63,500 - $111,750 a year
- Call employer
- Remote
- Computer science
- Azure
- Computer Science
- Paid holidays
- Disability insurance
1d
AI Engineer
Global Alliant Inc —Rockville, MD
- $140,000 a year
- Full-time
- Remote
- Azure
- HIPAA
- 3 years
Quick Apply
Machine Learning Engineer
Booz Allen Hamilton —Arlington, VA
- $77,600 - $176,000 a year
- Full-time
- Mid-level
- Office
- Java
- Disability insurance
- Health insurance
AI/ML Engineer
Nightwing Intelligence Solutions, LLC —Sterling, VA
- $99,000 - $206,000 a year
- Full-time
- Computer Science
- 5 years
- Bachelor of Science
- Health insurance
- Dental insurance
Quick Apply
7d
AI Engineer
Booz Allen Hamilton —Arlington, VA
- $77,600 - $176,000 a year
- Full-time
- Computer science
- Azure
- Computer Science
- Disability insurance
- Health insurance
Software Engineer
GeoDelphi —Alexandria, VA
- Full-time
- Remote
- 7 years
- Azure
- Java
- Paid parental leave
- Paid holidays
Quick Apply
Mechanical Engineer I
QinetiQ US —Fort Belvoir, VA
- $70,000 - $90,000 a year
- Email
- Research
- Analysis skills
- 1 year
Machine learning Engineer & AI Platform Developer - 10+years of experirnce
Two95 International Inc. —Herndon, VA
- $100,000 - $120,000 a year
- Contract
- Remote
- Azure
- Computer Science
- Java
Quick Apply

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machine learning engineer jobs near arlington, va

Senior Software Engineer (Gen AI)

Freddie Mac -
McLean, VA

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Job Details

Full-time
$129,000 - $193,000 a year

Qualifications

AI models
Search engines
Software engineering
Tooling
Generative models
AI platforms (beyond public GPTs)
Scalable systems
Computational framework
Databases
Production systems
Machine learning cloud services
Machine intelligence
Model deployment
Continuous integration
Developing large-scale AI models
Scalability
Cloud solution engineering
Machine learning libraries
Machine learning frameworks
MLOps
Generative AI

Full Job Description

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.

Position Overview:

We are seeking a Senior Software Engineer (GenAI) to join our Multifamily Innovation team, where you will design, build, and deploy cutting-edge GenAI solutions that transform how we operate across the multifamily division. In this role, you will work at the intersection of large language models (LLMs), agentic systems, and cloud technologies to deliver intelligent products that drive measurable business outcomes.

You will collaborate with product managers, data scientists, engineers, and business stakeholders to identify high-impact opportunities and turn them into production-grade AI applications. This is a hands-on, high-visibility role for someone passionate about pushing the boundaries of applied GenAI in a regulated, data-rich domain.

Our Impact:

The Multifamily Innovation team partners closely with both business and technology teams to identify high-value opportunities where AI can drive meaningful impact. We act as the bridge between emerging AI capabilities and real-world business needs - uncovering use cases, validating feasibility, and delivering intelligent solutions that streamline operations, enhance decision-making, and unlock new efficiencies across the multifamily division. By bringing together domain understanding and cutting-edge AI expertise, we help shape the future of how our division leverages AI to better serve our customers, partners, and the broader housing market.

Your Impact:

As a Sr. Software Engineer (GenAI), you will:

Build and deploy end-to-end GenAI solutions - including RAG pipelines, multi-agent systems, document intelligence platforms, and copilots — tailored to multifamily workflows.
Drive the technical design of LLM-powered applications, including prompt engineering, model selection, evaluation frameworks, and guardrails to ensure quality, safety, and performance.
Partner with business stakeholders to translate ambiguous problems into AI-driven solutions with clear ROI and measurable adoption metrics.
Establish best practices for responsible AI, including bias mitigation, hallucination reduction, observability, and compliance with regulatory requirements.
Stay ahead of the curve by evaluating emerging models, frameworks, and techniques, and bringing the best of them into our stack.

Qualifications:

Required:

Bachelor's degree or equivalent experience; advanced studies/degree preferred. Experience in Computer Science, Machine Learning, Data Science, or a related field is highly desired.
5 - 7 years related experience.
1+ years of hands-on experience in the GenAI/LLM space, building and deploying solutions in production environments.
Strong proficiency in Python and modern AI/ML frameworks such as LangChain, LlamaIndex, LangGraph, Hugging Face, or PyTorch.
Demonstrated experience building RAG systems, agentic workflows, and LLM-powered applications at scale.
Solid knowledge of vector databases, embedding models, and semantic search techniques.
Hands-on AWS cloud experience, including services such as Bedrock, SageMaker, or equivalent AI/ML offerings (exposure to Azure OpenAI is a plus).
Strong understanding of MLOps/LLMOps practices — CI/CD, model monitoring, versioning, and observability tooling.
Excellent communication skills with the ability to explain complex AI concepts to non-technical stakeholders.

Keys to Success in this Role:

Bias for action and outcomes - you move quickly from idea to prototype to production, and you measure success in business impact, not just model metrics.
Product mindset - you think beyond the model and consider UX, adoption, scalability, and total cost of ownership.
Curiosity and continuous learning - the GenAI landscape evolves weekly; you thrive on staying current and bringing new ideas to the team.
Strong collaboration skills - you partner effectively with product, design, business, risk, and compliance teams to deliver solutions that work in the real world.
Ownership and accountability - you take problems end-to-end, anticipate risks, and follow through to delivery.

Current Freddie Mac employees please apply through the internal career site.

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.

CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.

Time-type:Full time

FLSA Status:Exempt

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.

This position has an annualized market-based salary range of $129,000 - $193,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

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Machine learning Engineer & AI Platform Developer - 10+years of experirnce

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