Top 2107 Machine learning engineer Jobs in Gaithersburg Md

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
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
Software Engineer Analyst - AI Trainer
DataAnnotation —Columbia, MD
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Elastic Search Engineer
Leidos —Bethesda, MD
- $107,900 - $195,050 a year
- Full-time
- Computer science
- 6 years
- Computer Science
Machine Learning Engineer
aqua IT —Springfield, VA
- Full-time
- Mid-level
- SQL
- Mentoring
Quick Apply
18h
Machine Learning Engineer - Remote
Halvik —Vienna, VA
- $140,000 - $150,000 a year
- Full-time
- Hybrid work
- 5 years
- Math
- Mentoring
Quick Apply
AI/ML Platform Engineer
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $85,000 - $195,000 a year
- Full-time
- Computer Science
- Engineering
- Mid-level
- Disability insurance
- Health insurance
AI Assurance Engineer
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $100,000 - $245,000 a year
- Full-time
- Computer Science
- Mid-level
- Master's degree
- Disability insurance
- Health insurance
3d
Data Scientist (TS/SCI cleared)
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $105,000 - $290,000 a year
- Full-time
- Computer Science
- Bachelor of Science
- Analysis skills
- Disability insurance
- Health insurance
3d
Data Scientist - AI Trainer
DataAnnotation —Falls Church, VA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
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. Lead Machine Learning Engineer
Capital One —McLean, VA
- Email
- Azure
- Doctoral degree
- Computer Science
- Health insurance
Sr Lead Machine Learning Engineer
Capital One —McLean, VA
- Email
- Azure
- Doctoral degree
- Computer Science
- Health insurance
Sr. Lead Machine Learning Engineer
Capital One —McLean, VA
- Email
- Azure
- Doctoral degree
- Computer Science
- Health insurance
Senior Data Scientist / AI Machine Learning Research Engineer
CACI —Sterling, VA
- $113,200 - $237,800 a year
- Full-time
- 7 years
- Azure
- Computer Science
- Health insurance
Lead Machine Learning Engineer
Capital One —McLean, VA
- Email
- Azure
- Doctoral degree
- Computer Science
- Health insurance
Lead Machine Learning Engineer
Capital One —McLean, VA
- Email
- Azure
- Doctoral degree
- Computer Science
- Health insurance
Data Scientist Thought Leader
Leidos —Gaithersburg, MD
- $154,050 - $278,475 a year
- Full-time
- Azure
- Doctoral degree
- 11+ years
20h
Lead Machine Learning Engineer
Capital One —McLean, VA
- Email
- Azure
- Doctoral degree
- Computer Science
- Health insurance
3d

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machine learning engineer jobs near gaithersburg md

Geophysical Data Analyst

Bright Star Solutions LLC -
Washington, DC

Quick Apply

Job Details

Full-time
$120,000 - $140,000 a year

Benefits

Disability insurance
Health insurance
Dental insurance
401(k)
Paid time off
Vision insurance
401(k) matching

Qualifications

Digital signal processing
Data visualization software proficiency
Research findings presentation
Sensors
Data analysis software

Full Job Description

About Bright Star

Bright Star is a forward-thinking technology consultancy that specializes in harnessing the power of data and AI to solve complex business challenges. Our team of experts combines deep technical expertise with strategic insight to deliver innovative solutions that drive meaningful impact for our clients.

Role Description

Bright Star is recruiting an experienced Data Analyst to support a federal sensor technology program. This position is full-time and hybrid. This role will work closely with the program team to process, analyze, and interpret data generated by geophysical sensing systems deployed in operational environments.

This role offers a unique opportunity to apply applied geophysical and data science skills to high-impact federal operations — working at the intersection of sensor physics, signal processing, and data analytics in support of real-world mission outcomes.

Key Responsibilities

● Process and analyze data from geophysical sensing systems, including seismic, acoustic, and electromagnetic sensors

● Perform signal processing and noise reduction on sensor data to support detection and characterization workflows

● Develop and maintain data pipelines for ingesting, cleaning, and structuring sensor datasets

● Build visualizations, dashboards, and reports to communicate findings to technical and non-technical stakeholders

● Support geophysical data interpretation and anomaly detection using statistical and data science approaches

● Collaborate with engineers, scientists, and federal clients to refine data collection and analysis methods

Required Qualifications

● Bachelor’s degree in Geophysics, Physics, Earth Science, Data Science, Computer Science, Mathematics, Engineering, or related field

● 2+ years of experience working with sensor or geophysical data in an applied setting

● Proficiency in a scripting language or tool for data processing and analysis

● Familiarity with signal processing concepts (filtering, spectral analysis, time-series analysis)

● Experience with data visualization tools (e.g., Matplotlib, Plotly, Tableau)

● Ability to obtain and maintain a federal background investigation

● Strong written and verbal communication skills; comfortable presenting findings to stakeholders

Preferred Qualifications

● Experience with seismic, acoustic, or ground-penetrating radar (GPR) data

● Proficiency in Python, SQL, and/or Excel for data analysis and reporting

● Familiarity with geophysical processing software (e.g., SeisWare, OpendTect, Kingdom)

● Experience supporting federal government programs or defense/security contractors

● Knowledge of machine learning techniques applied to sensor data classification or anomaly detection

● Active DHS or CBP Background Investigation

Job Details

Job Type: Full-time

Pay: $120,000 – $140,000 per year

Benefits:

· 401(k) with matching

· Health, dental, and vision insurance

· Paid time off

Ability to Commute:

· Sterling, VA (Preferred)

Ability to Relocate:

· Sterling, VA: Relocate before starting work (Preferred)

Work Location:

· Hybrid remote in Sterling, VA

Equal Employment Opportunity

Bright Star is an Equal Opportunity Employer.

Pay: $120,000.00 - $140,000.00 per year

Benefits:

401(k)
401(k) matching
Dental insurance
Disability insurance
Health insurance
Paid time off
Vision insurance

Application Question(s):

Are you a US citizen?
Do you currently hold an active DHS Public Trust or CBP Background Investigation (BI)? This is a required qualification for this position.

Work Location: Hybrid remote in Washington, DC 20004

Quick Apply

Refine Your Search

machine learning engineer jobs in gaithersburg md

Geophysical Data Analyst

Lead AI Software Engineer

Software Research Engineer - RF Machine Learning (RFML)

Software Engineer Analyst - AI Trainer

Elastic Search Engineer

Machine Learning Engineer

Machine Learning Engineer - Remote

AI/ML Platform Engineer

AI Assurance Engineer

Data Scientist (TS/SCI cleared)

Data Scientist - AI Trainer

Machine Learning Engineer - AI Trainer

Sr. Lead Machine Learning Engineer

Sr Lead Machine Learning Engineer

Sr. Lead Machine Learning Engineer

Senior Data Scientist / AI Machine Learning Research Engineer

Lead Machine Learning Engineer

Lead Machine Learning Engineer

Data Scientist Thought Leader

Lead Machine Learning Engineer

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