Top 98 machine learning engineer entry level Jobs in washington dc

Engineer I, AI Agents
AARP —Washington, DC
- $97,200 - $108,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- Writing skills
- Paid holidays
- Health insurance
5d
Principal Technical Risk Analyst - AI Technical Lead
Navy Federal Credit Union —Vienna, VA
- $150,100 - $206,450 a year
- Online Application
- Computer science
- Azure
- Computer Science
7d
Radar System Engineer - Maritime and Next-Generation Radars
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $85,000 - $195,000 a year
- Full-time
- Master's degree
- Analysis skills
- Math
- Disability insurance
- Health insurance
2d
Lead Machine Learning Engineer
Capital One —McLean, VA
- Email
- Azure
- Doctoral degree
- Computer Science
- Health insurance
2d
Lead Machine Learning Engineer (Enterprise Platforms Technology)
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
2d
Technical Solutions Engineer - Entry Level
American Bureau of Shipping (ABS) —Washington, DC
- Full-time
- Azure
- English
- SQL
AI - Enigneer/Analyst
DCCA —Bethesda, MD
- $53,000 - $270,000 a year
- Mid-level
- Master's degree
- High school diploma or GED
- Disability insurance
- Health insurance
Artificial Intelligence (AI) Engineer
WilmerHale —Washington, DC
- $135,000 - $169,000 a year
- Full-time
- Azure
- Research
- AWS
DevSecOps Engineer
Booz Allen —Arlington, VA
- $62,000 - $141,000 a year
- Full-time
- DevOps
- Mid-level
- Office
- Health insurance
- Flexible spending account
Data Analytics Platform Engineer
Booz Allen —Arlington, VA
- $77,600 - $176,000 a year
- Full-time
- Mid-level
- Office
- Windows
- Health insurance
- Flexible spending account
Dev/ MLOps Engineer I (Full Stack)
ORIGIN WIRELESS, INC. —Rockville, MD
- $95,000 - $120,000 a year
- Full-time
- Azure
- Computer Science
- Office
Quick Apply
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
Affective Neuroscience Assistant Research Scientist
University of Maryland —College Park, MD
- $58,656 - $252,289 a year
- Background check
- Management
- Mid-level
Entry Level Linux Software Engineer
Jacobs —Chantilly, VA
- $80,000 - $110,000 a year
- Hybrid work
- Computer Science
- Office
- Analysis skills
- Health insurance
- Dental insurance
AI Engineer
Rios Partners —Arlington, VA
- $100,000 - $110,000 a year
- Full-time
- Azure
- System design
- Mid-level
- Profit sharing
- Paid jury duty
Data Scientist
Steampunk —McLean, VA
- $125,000 - $160,000 a year
- Azure
- Customer service
- Master's degree
Agentic AI Engineer
General Dynamics Information Technology —Falls Church, VA
- $195,500 - $264,500 a year
- Hybrid work
- Azure
- Computer Science
- Office
- Paid time off
- 401(k) matching
Junior Software Engineer (Integration)
Everforth ECS —Fairfax, VA
- Hybrid work
- Computer science
- Computer Science
- Office
- Flexible schedule
Associate Software Engineer - JobID-0051
Innovative Defense Technologies —Arlington, VA
- $72,000 - $114,450 a year
- Full-time
- Computer Science
- Office
- Java
- Commuter assistance
- Paid holidays
Quick Apply
14d

I want to receive the latest job alert for machine learning engineer entry level in washington dc

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

machine learning engineer entry level jobs near washington dc

Engineer I, AI Agents

AARP -
Washington, DC

Apply Now

Job Details

Full-time
$97,200 - $108,000 a year
5 days ago

Benefits

Paid holidays
Health insurance
Dental insurance
Tuition reimbursement
Paid time off
Pension plan
Parental leave
Vision insurance
Life insurance

Qualifications

AI models
Systems integration
RESTful API
Writing skills
IT system monitoring
Generative models
Public Cloud
AI platforms (beyond public GPTs)
Computational framework
Prompt engineering
Event-driven architecture
Machine intelligence
Integration with Third-Party Services (system development)
JSON
Back-end integration
AI-driven automation
Machine learning frameworks
Generative AI
System performance monitoring

Full Job Description

Overview:

AARP is the nation's largest nonprofit, nonpartisan organization dedicated to empowering people 50 and older to choose how they live as they age. With a nationwide presence, AARP strengthens communities and advocates for what matters most to the more than 100 million Americans 50-plus and their families: health and financial security, and personal fulfillment. AARP also works for individuals in the marketplace by sparking new solutions and allowing carefully chosen, high-quality products and services to carry the AARP name. As a trusted source for news and information, AARP produces the nation's largest-circulation publications, AARP The Magazine and the AARP Bulletin.

Information Technology Services is responsible for AARP enterprise-wide technology and information security functions. Services range from infrastructure design and operations, system and software lifecycle implementations, enabling the mobile workforce and protecting AARP network, systems and data. A variety of technologies and practices are used including cloud computing, automation, artificial intelligence and machine learning within highly collaborative Agile teams.

The Engineer I, AI Agents is a technical resource on a platform/capability team responsible for supporting the day-to-day design, implementation and operational activities of the team.

Responsibilities:

Assisting the team with processing transactions, resolving issues, and administering platform or capability systems, solutions, and services.
Maintaining code repositories and Git-based services, if applicable.
Writing code, leveraging third-party services, configuring systems, and implementing solutions in an agile way.
Collaborating with team to identify technical solutions for business and enterprise needs.
Developing technical knowledge and expertise related to domain area systems, solutions, services and applications.

Qualifications:

Bachelor’s or Master’s in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience (including internships, academic projects, or self-directed learning).
1+ years experience and proficiency in one modern programming language (Python, JavaScript/TypeScript, C#, or Java), with the ability to read, debug, and extend existing codebases.
Familiarity with RESTful APIs, JSON, basic service integration patterns, and the ability to integrate with external data sources.
Foundational understanding of Generative AI and LLMs, including prompts, tokens, context limits, strengths, limitations, and common failure modes; experience designing and iterating on prompts and structured outputs (e.g., JSON/schema-based responses).
Hands-on exposure to LLM APIs or frameworks, including basic understanding of Retrieval-Augmented Generation (RAG), document ingestion, chunking, embeddings, and grounding responses with enterprise data.
Exposure to agent-based or multi-step AI systems, including tool/function calling, workflow orchestration concepts, human-in-the-loop patterns, and awareness of the need for guardrails, controlled workflows, and error handling.
Foundational understanding of cloud platforms (preferably Microsoft Azure), event-driven or trigger-based architectures, workflow automation tools (e.g., Power Automate, Power Apps), and basic logging, monitoring, and debugging practices.
Analytical and problem-solving skills, with the ability to structure ambiguous problems; demonstrated learning agility and curiosity; awareness of evaluating LLM outputs, data privacy, security, governance, and responsible AI principles.

AARP will not sponsor an employment visa for this position at this time.

Additional Requirements

Regular and reliable job attendance.
Effective verbal and written communication skills.
Exhibit respect and understanding of others to maintain professional relationships.
Independent judgement in evaluation options to make sound decisions.
Home office environment with the ability to work effectively surrounded by moderate home environment noise - (Telework)

Compensation and Benefits

AARP offers a competitive compensation and benefits package including a 401(k); 100% company-funded pension plan; health, dental, and vision plans; life insurance; paid time off to include company and individual holidays, vacation, sick, caregiving, and parental leave; performance-based and peer-based recognition and tuition reimbursement.

Equal Employment Opportunity

AARP is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. AARP does not discriminate on the basis of race, ethnicity, religion, sex, color, national origin, age, sexual orientation, gender identity or expression, mental or physical disability, genetic information, veteran status, or on any other basis prohibited by applicable law.

Apply Now

Refine Your Search

machine learning engineer entry level jobs in washington dc

Engineer I, AI Agents

Principal Technical Risk Analyst - AI Technical Lead

Radar System Engineer - Maritime and Next-Generation Radars

Lead Machine Learning Engineer

Lead Machine Learning Engineer (Enterprise Platforms Technology)

Lead Machine Learning Engineer

Technical Solutions Engineer - Entry Level

AI - Enigneer/Analyst

Artificial Intelligence (AI) Engineer

DevSecOps Engineer

Data Analytics Platform Engineer

Dev/ MLOps Engineer I (Full Stack)

Machine Learning Engineer

Affective Neuroscience Assistant Research Scientist

Entry Level Linux Software Engineer

AI Engineer

Data Scientist

Agentic AI Engineer

Junior Software Engineer (Integration)

Associate Software Engineer - JobID-0051

I want to receive the latest job alert for machine learning engineer entry level in washington dc

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected