Top 3656 Java Jobs in Arlington, Va

Senior Applied Scientist , Prime Video Ads
Amazon.com Services LLC —Arlington, VA
- $167,100 - $226,100 a year
- Full-time
- 6 years
- Senior level
- AD&D insurance
- Health insurance
4d
VA-1100: Senior Biometric Software Engineer (U.S. Citizen)
Athena Sciences Corporation —Rosslyn, VA
- $100,000 - $115,000 a year
- Full-time
- Hybrid work
- Background check
- Bachelor of Science
- DevOps
- AD&D insurance
- Paid holidays
Quick Apply
Lead Identity Access Management (IAM) Engineer/Architect
Financial Industry Regulatory Authority, Inc. —Washington, DC
- $111,400 - $242,600 a year
- Extended hours
- Hybrid work
- Computer science
- 7 years
- Computer Science
- Paid jury duty
- Commuter assistance
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Backend Software Engineer - AI Trainer
DataAnnotation —Rosslyn, VA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
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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
Java Mainframe Developer
System One —Vienna, VA
- Contract
- Remote
- Computer science
- Computer Science
- Java
- Health insurance
- Dental insurance
Quick Apply
Junior Java developer
Edge Computing —Washington, DC
- Contract
- Entry level
Quick Apply
Java Developer
JC Corporations Inc —McLean, VA
- Full-time
- Hybrid work
- Mid-level
- Office
- Java
Quick Apply
Java Developer
Agile Defense —Rosslyn, VA
- $140,000 - $150,000 a year
- Hybrid work
- Java
- High school diploma or GED
- Senior level
Quick Apply
Java Developer
TechOpps Inc. —Arlington, VA
- From $100,000 a year
- Full-time
- Background check
- Computer science
- Computer Science
Quick Apply
Software Developer Senior
N2IA Technologies —Washington, DC
- $160,000 - $195,000 a year
- Full-time
- Computer Science
- Mid-level
- Java
Quick Apply
12d
Software Developer (Java) - TS/SCI w/Poly
General Dynamics Information Technology —McLean, VA
- $157,250 - $212,750 a year
- 5 years
- Bachelor of Science
- Java
- Paid holidays
- 401(k) matching
Senior Data Engineer
Meridian Systematics —Springfield, VA
- $140,000 - $170,000 a year
- Full-time
- Azure
- Computer Science
- System design
- Health insurance
- Dental insurance
Quick Apply
12d
Cleared Junior Software Engineer
Amentum —Washington, DC
- $90,000 - $110,000 a year
- 8 hour shift
- Computer Science
- Engineering
- Office
- Health savings account
- Paid holidays
Quick Apply
2d
Junior Software Developer
EagleForce Associates, Inc. —Herndon, VA
- Full-time
- Computer Science
- Office
- Bachelor's degree
- Disability insurance
- Health insurance
Quick Apply
Software Developer
Amentum —Springfield, VA
- $80,000 - $150,000 a year
- Full-time
- Hybrid work
- Mid-level
- Java
- AWS
- Health savings account
- Health insurance
Quick Apply
9d
MuleSoft Developer
Brite Systems Inc —Washington, DC
- From $119,259.71 a year
- Full-time
- Azure
- Mid-level
- Office
Quick Apply
Application Developer
CGI Group, Inc. —Washington, DC
- $69,700 - $169,700 a year
- Oracle
- Computer Science
- ERP systems
- Paid parental leave
- Paid holidays
11d
AWS Cloud Engineer
Leidos —Arlington, VA
- $107,900 - $195,050 a year
- Full-time
- Bachelor of Science
- Java
- Bachelor's degree
Integration Engineer/Developer, Junior
CGI Group, Inc. —Arlington, VA
- $100,000 - $150,000 a year
- Java
- Databases
- Bachelor's degree
- Paid parental leave
- Paid holidays

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java jobs near arlington, va

Senior Applied Scientist , Prime Video Ads

Amazon.com Services LLC -
Arlington, VA

Apply Now

Job Details

Full-time
$167,100 - $226,100 a year
4 days ago

Benefits

AD&D insurance
Health insurance
Dental insurance
Flexible spending account
RSU
Paid time off
Adoption assistance
Parental leave
Employee assistance program
Vision insurance
401(k) matching

Qualifications

6 years
Senior level

Full Job Description

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video subscriptions such as Apple TV+, HBO Max, Peacock, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.

Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.

As a Prime Video team member, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.

We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!

Are you passionate about building intelligent systems that personalize experiences for hundreds of millions of customers? Do you want to work at the intersection of deep learning, causal inference, and product optimization, where your models directly shape how customers experience advertising on one of the world’s largest streaming platforms?

Prime Video Ads is redefining what ad-supported streaming looks like. We launched ads on Prime Video in 2024 and are now in the process of building the science foundation to make our ad experience the most customer-centric in the industry. Unlike traditional digital advertising where clicks and conversions provide direct feedback, streaming presents unique scientific challenges. Indirect signals, heterogeneous customer responses, and the need to balance monetization with long-term engagement, all at massive scale.

Key job responsibilities
The Science
Our team tackles problems that span the full ML lifecycle, from exploratory research and offline modeling to online experimentation and production deployment. The science challenges include:

Heterogeneous customer responses. The same customer responds differently to ads depending on what they’re watching, how engaged they are, and their broader streaming context. We need to understand and predict this variation to make better advertising decisions in real time.
Signal sparsity in streaming. Unlike search or retail advertising, streaming offers no clicks, no conversions, and limited direct feedback. We must develop creative approaches to infer customer preferences, intent, and tolerance from indirect behavioral signals.
Personalization at scale. A one-size-fits-all ad experience leaves value on the table for both customers and the business. We build systems that adapt ad load, placement, and content to individual viewers across 100M+ customers and 100k+ titles.
Small effects, large variance. Ad interventions typically produce 0.1-2% shifts in engagement, effects easily overwhelmed by natural behavioral variance. Measuring, attributing, and optimizing these small signals requires rigorous experimental design and causal methodologies.
Competing objectives. Revenue, customer engagement, long-term retention, and advertiser value are in tension. We develop principled frameworks to navigate these tradeoffs and optimize for sustainable outcomes rather than any single metric.

A day in the life

Lead the research and development of ML models that personalize advertising decisions for 100M+ customers across 100k+ titles, with production deployment in mind
Develop deep learning architectures (multi-task learning, embedding-based representations) for customer behavior prediction at scale
Design and analyze large-scale A/B experiments, applying causal inference techniques to measure and optimize the impact of ad strategies on customer engagement and monetization

Partner with engineering to ensure models meet production latency and scalability requirements

Collaborate with product managers to frame business problems as tractable ML problems and translate findings into product decisions
Shape the team’s scientific roadmap, identifying high-impact research directions

About the team
The PV Ad CX team’s mission is to create the world’s most customer-centric ad experience for video streaming. We build adaptive systems that determine when, how many, and what ads to show each customer, personalized to their viewing behavior, content context, and engagement patterns. We aspire to transform ad breaks from interruptions into moments that feel relevant and thoughtful.

BASIC QUALIFICATIONS

3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS

Experience with large scale distributed systems such as Hadoop, Spark etc.
Experience working with PyTorch or JAX software, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, NY, New York - 183,800.00 - 248,700.00 USD annually
USA, VA, Arlington - 167,100.00 - 226,100.00 USD annually
USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually

Apply Now

Refine Your Search

java jobs in arlington, va

Senior Applied Scientist , Prime Video Ads

VA-1100: Senior Biometric Software Engineer (U.S. Citizen)

Lead Identity Access Management (IAM) Engineer/Architect

Backend Software Engineer - AI Trainer

Backend Software Engineer - AI Trainer

Java Mainframe Developer

Junior Java developer

Java Developer

Java Developer

Java Developer

Software Developer Senior

Software Developer (Java) - TS/SCI w/Poly

Senior Data Engineer

Cleared Junior Software Engineer

Junior Software Developer

Software Developer

MuleSoft Developer

Application Developer

AWS Cloud Engineer

Integration Engineer/Developer, Junior

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