Top 1716 Machine learning engineer Jobs in Vienna Va

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
Signal Processing Engineer
MyDefence North America —Reston, VA
- $150,000 - $225,000 a year
- Full-time
- Hybrid work
- Mid-level
- Electrical Engineering
- Health savings account
- Health insurance
Quick Apply
3d
Geophysical Data Analyst
Bright Star Solutions LLC —Washington, DC
- $120,000 - $140,000 a year
- Full-time
- Hybrid work
- Background check
- Computer Science
- Mid-level
- Disability insurance
- Health insurance
Quick Apply
Lead AI Software Engineer
OneGlobe LLC —Reston, VA
- $130,660.12 - $157,354.13 a year
- Full-time
- Hybrid work
- Google Workspace
- Microsoft Outlook
- Bachelor of Science
- Health savings account
- Health insurance
Quick Apply
14d
AI/ML Developer - AI Trainer
DataAnnotation —Chantilly, VA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Software Research Engineer - RF Machine Learning (RFML)
Peraton —College Park, MD
- $104,000 - $166,000 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
- Health savings account
- Paid holidays
Financial Model Development Senior (Python Developer)
Freddie Mac —McLean, VA
- $130,000 - $196,000 a year
- Full-time
- Computer Science
- 5 years
- Office
Lead Machine Learning Engineer
Capital One —McLean, VA
- Email
- Azure
- Doctoral degree
- Computer Science
- Health insurance
Fires Systems Engineer-Ottawa
General Dynamics Information Technology —Chantilly, VA
- $83,927 - $113,549 a year
- Military
- Bachelor of Science
- System design
- Commuter assistance
- Paid time off
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
VDI Engineer
General Dynamics Information Technology —Springfield, VA
- $115,600 - $156,400 a year
- 7 years
- DevOps
- Windows
- Paid time off
- 401(k) matching
Signal and Image Processing Engineer
Johns Hopkins Applied Physics Laboratory —Laurel, MD
- $85,000 - $195,000 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
- Disability insurance
- Health insurance
3d
Senior Agentic AI/ML Engineer
General Dynamics Information Technology —Arlington, VA
- $170,000 - $230,000 a year
- Computer science
- Computer Science
- Office
- Paid time off
- 401(k) matching
Al/ML Engineer Technical Lead - TS/SCI w Poly
Peraton —Laurel, MD
- $229,000 - $366,000 a year
- Computer science
- Azure
- Computer Science
- Health savings account
- Paid holidays
Fires Sr. Systems Engineer-Gagetown, New Brunswick, Canada
General Dynamics Information Technology —Chantilly, VA
- $111,155 - $150,385 a year
- Military
- Bachelor of Science
- System design
- Commuter assistance
- Paid time off
Senior Agentic AI Full Stack Software Engineer
General Dynamics Information Technology —Arlington, VA
- $148,750 - $201,250 a year
- Computer science
- Computer Science
- Bachelor's degree
- Paid time off
- 401(k) matching
Forward Deployed Engineer - Palantir Foundry
Accenture Federal Services —Washington, DC
- $126,300 - $243,100 a year
- Computer Science
- Mid-level
- Java
Senior Agentic AI/ML Engineer
General Dynamics Information Technology —Arlington, VA
- $170,000 - $230,000 a year
- Computer science
- Computer Science
- Office
- Paid time off
- 401(k) matching
Machine Learning Engineer - AI Trainer
DataAnnotation —Washington, DC
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Sr. Software Engineer
Leidos —Bethesda, MD
- $107,900 - $195,050 a year
- Full-time
- Hybrid work
- System design
- Office
- Master's degree
- Flexible schedule

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machine learning engineer jobs near vienna va

Geotechnical Research Engineer - Level 2

AGR, LLC
McLean, VA

Quick Apply

Job Details

Full-time
$85,000 - $100,000 a year

Benefits

Health insurance
401(k)
Paid time off

Qualifications

Geotechnical Engineering
Statistics
MATLAB
Civil engineering
Laboratory safety
Materials engineering experience within construction
Content creation for technical audiences
Machine learning/AI-based analysis
Doctoral degree
Safety protocol adherence
Conference papers
Outdoor work experience
Soil analysis
Testing and evaluation
Academic research
Scientific research papers
Master's degree
Research safety & compliance
Engineering research
Technical research projects
Soil science
Presentation preparation
Plaxis
Transportation infrastructure projects
Technical writing experience within technology
Technical Proficiency
Construction soil testing
Python
Field engineering
Structural analysis

Full Job Description

Join the Federal Highway Administration’s nationally recognized Geotechnical (GEO) Laboratory and contribute to research that directly impacts the safety, durability, and performance of U.S. transportation infrastructure. As a Geotechnical Research Engineer – Level 2, you will support cutting‑edge research across multiple focus areas—including pavements, scour, bridge foundations, and corrosion of buried elements with primary focus on soil-structure interaction, structural backfill, advanced material characterization, and the application of data science to advanced engineering analytics and predictive research modeling.

This role is ideal for early‑career engineers with strong academic training, hands‑on research experience, and an interest in leveraging machine learning and AI tools in a highly technical, mission‑driven environment.

Key Responsibilities:

Laboratory & Field Research

Lead the development of detailed research workplans specifically focused on bridge-related soil-structure interaction to address high-priority challenges faced by State DOT engineers.
Conduct standard and advanced geotechnical laboratory tests (triaxial, direct shear, resilient modulus, permeability, erosion testing, etc.) per ASTM/AASHTO standards.
Prepare, fabricate, and test soil and aggregate specimens, including large‑scale and specialty tests.
Install instrumentation, assemble data acquisition systems, and support field monitoring activities.

Data Science, Analysis & Numerical Modelling

Apply machine learning, AI tools, and advanced data analytics to interpret complex laboratory and field datasets.
Analyze laboratory and field data; prepare plots, summaries, and interpretations.
Conduct literature reviews, synthesize findings, and support development of research workplans.
Perform advanced numerical modeling (e.g., finite element modeling, constitutive modeling) with a specific focus on soil–structure interaction.

Documentation, Reporting and Lab Operations

Document test procedures with high‑quality notes, photos, and schematics.
Develop and prepare FHWA research reports, TechBriefs, and peer‑reviewed publications.
Support preparation of presentations, technical summaries, and technology‑transfer materials.
Assist with equipment setup, maintenance, calibration, safety compliance, and procurement of specialty instrumentation and supplies.
Participate in weekly progress meetings and maintain organized project files.

Required Qualifications (GT‑RE Level 2)

Master’s degree in civil engineering with a core concentration in Geotechnical Engineering
Demonstrated experience in bridge-related geotechnical engineering, soil-structure interaction, and advanced material/aggregate characterization.
Hands‑on experience planning, conducting, analyzing, and reporting on laboratory-scale or large-scale geotechnical research beyond degree requirements.
Record of technical publications and presentations
Strong computational and data analysis skills, including experience with MATLAB, Python, R, or similar programming languages used for engineering applications.
Strong written and oral communication skills; ability to produce publication‑ready technical content.

Preferred Qualifications

Ph.D. in Geotechnical Engineering
Direct experience developing or applying Machine Learning (ML) algorithms, Artificial Intelligence (AI) tools, or advanced statistical models to engineering datasets.
Proficiency in data acquisition systems, sensors, and geotechnical laboratory instrumentation.
Familiarity with numerical modeling tools (e.g., PLAXIS, Abaqus, FLAC).

Physical & Professional Requirements

Ability to lift 50 lbs and work in active laboratory and occasional field environments.
Commitment to laboratory safety and adherence to OSHA and TFHRC protocols.

Why Join Us?

Work in a premier federal research facility with state‑of‑the‑art geotechnical equipment.
More details about the facility can be found at this link.
Contribute to nationally impactful research that shapes U.S. transportation policy and design.
Collaborate with a multidisciplinary team of experts in geotechnical, structural, hydraulic, and materials engineering.
Grow your career through hands‑on research, publications, and technical leadership opportunities

Pay: $85,000.00 - $100,000.00 per year

Benefits:

401(k)
Health insurance
Paid time off

Education:

Doctorate (Required)

Work Location: In person

Quick Apply

Refine Your Search

machine learning engineer jobs in vienna va

Geotechnical Research Engineer - Level 2

Signal Processing Engineer

Geophysical Data Analyst

Lead AI Software Engineer

AI/ML Developer - AI Trainer

Software Research Engineer - RF Machine Learning (RFML)

Financial Model Development Senior (Python Developer)

Lead Machine Learning Engineer

Fires Systems Engineer-Ottawa

Backend Software Engineer - AI Trainer

VDI Engineer

Signal and Image Processing Engineer

Senior Agentic AI/ML Engineer

Al/ML Engineer Technical Lead - TS/SCI w Poly

Fires Sr. Systems Engineer-Gagetown, New Brunswick, Canada

Senior Agentic AI Full Stack Software Engineer

Forward Deployed Engineer - Palantir Foundry

Senior Agentic AI/ML Engineer

Machine Learning Engineer - AI Trainer

Sr. Software Engineer

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