Top 2066 Machine learning engineer Jobs in Foggy Bottom, Dc

Machine Learning Engineer
Booz Allen Hamilton —Arlington, VA
- $77,600 - $176,000 a year
- Full-time
- Mid-level
- Office
- Java
- Disability insurance
- Health insurance
3d
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
Machine Learning / Data Scientist
Parsons —Washington, DC
- $88,400 - $154,700 a year
- Computer Science
- 5 years
- Office
- Wellness program
- Paid holidays
Machine Learning Engineer
Applied Information Sciences —Washington, DC
- $100,000 - $150,000 a year
- Full-time
- Hybrid work
- Computer Science
- 3 years
- Bachelor's degree
10d
Machine Learning Engineer II
GEICO —Bethesda, MD
- $105,000 - $215,000 a year
- Online Application
- Hybrid work
- Azure
- Computer Science
- System design
- Health insurance
- Tuition reimbursement
Machine Learning Operations (MLOps) Engineer
University of Maryland —College Park, MD
- $150,000 - $225,000 a year
- Full-time
- Background check
- Azure
- Computer Science
Machine Learning Engineer
Capgemini Government Solutions LLC —Washington, DC
- $120,000 - $180,000 a year
- Full-time
- Computer Science
- DevOps
- Java
- Health insurance
- Dental insurance
Quick Apply
9d
AI/Machine Learning Engineer
Initiate Government Solutions —Washington, DC
- Remote
- Computer Science
- HIPAA
- Java
- Profit sharing
- Paid training
Machine Learning Engineer - Computer Vision
Finalcover LLC —Arlington, VA
- $80,000 - $110,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Mid-level
- Paid holidays
- Health insurance
Quick Apply
4d
Machine Learning Engineer
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $100,000 - $245,000 a year
- Full-time
- Computer Science
- Writing skills
- Mid-level
- Disability insurance
- Health insurance
Machine Learning Research Engineer
Anduril Industries —Washington, DC
- $220,000 - $292,000 a year
- Email
- Computer Science
- 5 years
- Bachelor of Science
Quick Apply
Geotechnical Research Engineer - Level 2
AGR, LLC —McLean, VA
- $85,000 - $100,000 a year
- Full-time
- Background check
- Civil engineering
- Doctoral degree
- Health insurance
- 401(k)
Quick Apply
Backend Software Engineer - AI Trainer
DataAnnotation —Falls Church, VA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Embedded Systems Developer - AI Trainer
DataAnnotation —Falls Church, VA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Staff Geophysicist
ENSCO, Inc. —Chantilly, VA
- $110,448.00 - $200,137.60 a year
- Full-time
- Background check
- Computer science
- 7 years
Quick Apply
Senior Elastic Engineer
Freddie Mac —McLean, VA
- $122,000 - $184,000 a year
- Full-time
- Computer science
- Azure
- Computer Science
Automated QA Engineer - AI Trainer
DataAnnotation —Washington, DC
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
API Test Engineer - AI Trainer
DataAnnotation —Washington, DC
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Real-Time Software Engineer
Leidos —Arlington, VA
- $87,100 - $180,000 a year
- Full-time
- Computer science
- Computer Science
- System design
- Paid holidays
- Paid time off
Infrastructure Engineer
Leidos —Bethesda, MD
- $107,900 - $195,050 a year
- Full-time
- Computer science
- 6 years
- Computer Science
- Flexible schedule
9d

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Machine Learning Engineer

Booz Allen Hamilton -
Arlington, VA

Apply Now

Job Details

Full-time
$77,600 - $176,000 a year
3 days ago

Benefits

Disability insurance
Health insurance
Flexible spending account
Tuition reimbursement
Life insurance
Retirement plan

Qualifications

Client inquiry handling
AI platforms (beyond public GPTs)
Computational framework
Bachelor's degree
Model deployment
Machine learning libraries
Machine learning frameworks
Customer service problem-solving

Full Job Description

The Opportunity:

As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support innovation across the DoD market. As a machine learning engineer on our defense technology team, you’ll train, test, deploy, and maintain models that learn from data.

In this role, you’ll own and define the direction of mission-critical solutions by implementing AI that enables faster mission success. You’ll be part of a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions to implement a wide variety of AI use cases. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.

Work with us to solve real-world challenges and define AI strategy for national security.

Join us. The world can’t wait.

You Have:

2+ years of experience with artificial intelligence, data science, or machine learning engineering, including developing and deploying models
Experience with Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch
Experience with developing code using a common programming language, including Python, C++, Rust, or Java
Experience with deep learning, computer vision, or generative AI
Experience with data handling and model development
Experience with leveraging AI productivity tools for coding, such as Cursor
Ability to solve client issues and problems
TS/SCI clearance
Bachelor's degree

Nice If You Have:

Experience with generative and agentic AI technologies, such as LLMs, MCP, LangChain, or LangGraph
Experience with supervised and unsupervised learning

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided .

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Apply Now

Refine Your Search

machine learning engineer jobs in foggy bottom, dc

Machine Learning Engineer

Machine Learning Engineer

Machine Learning / Data Scientist

Machine Learning Engineer

Machine Learning Engineer II

Machine Learning Operations (MLOps) Engineer

Machine Learning Engineer

AI/Machine Learning Engineer

Machine Learning Engineer - Computer Vision

Machine Learning Engineer

Machine Learning Research Engineer

Geotechnical Research Engineer - Level 2

Backend Software Engineer - AI Trainer

Embedded Systems Developer - AI Trainer

Staff Geophysicist

Senior Elastic Engineer

Automated QA Engineer - AI Trainer

API Test Engineer - AI Trainer

Real-Time Software Engineer

Infrastructure Engineer

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