Top 315 Entry level software engineer Jobs in Herndon, Va

Lead Machine Learning Engineer
Capital One —McLean, VA
- Email
- Azure
- Doctoral degree
- Computer Science
- Health insurance
Application Developer (Entry Level to SME) TS/SCI with Poly REQUIRED
CGI Group, Inc. —Arlington, VA
- $89,600 - $204,000 a year
- Azure
- Office
- Java
- Paid parental leave
- Paid holidays
Junior System Engineer
CGI Group, Inc. —Fairfax, VA
- $51,600 - $121,100 a year
- Azure
- Computer Science
- Writing skills
- Paid parental leave
- Paid holidays
Software/Web Developer (Entry Level to SME) TS/SCI with Poly REQUIRED
CGI Group, Inc. —Arlington, VA
- $89,600 - $204,000 a year
- Azure
- System design
- Office
- Paid parental leave
- Paid holidays
Software Engineer (Entry Level to SME) TS/SCI with Poly REQUIRED
CGI Group, Inc. —Arlington, VA
- $89,600 - $204,000 a year
- Azure
- Software troubleshooting
- Office
- Paid parental leave
- Paid holidays
Entry Level React Developer
Antra, Inc —Sterling, VA
- $65,000 - $70,000 a year
- Full-time
- Computer Science
- Analysis skills
- JavaScript
- Relocation assistance
- Health insurance
Quick Apply
Software Engineer I
WR Systems —Fairfax, VA
- $74,000 - $107,000 a year
- Background check
- Computer science
- Computer Science
- Paid holidays
- Disability insurance
3d
Junior Salesforce Developer
CGI Group, Inc. —Fairfax, VA
- $52,200 - $123,800 a year
- Remote
- Computer Science
- English
- Mid-level
- Paid parental leave
- Paid holidays
1d
Junior DevOps Engineer
Leidos —Chantilly, VA
- $69,550 - $125,725 a year
- Full-time
- Computer Science
- Mid-level
- Computer networking
7d
.NET Developer (Entry Level)
ASSYST, Inc. —Sterling, VA
- Software troubleshooting
- Office
- SQL
- Disability insurance
- Health insurance
Quick Apply
Java Fullstack Developer ( Entry Level )
Teksyntax Inc. —Reston, VA
- Full-time
- Hybrid work
- 11+ years
- Java
- Entry level
- Health insurance
- Referral program
Quick Apply
Engineer I, AI Agents
AARP —Washington, DC
- $97,200 - $108,000 a year
- Azure
- Computer Science
- Writing skills
- Paid holidays
- Health insurance
7d
Junior Software Engineer
SteerBridge —Vienna, VA
- $75,000 - $110,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Software troubleshooting
- Paid holidays
- Health insurance
Quick Apply
14d
Software Engineer - Cyber Team
SEACORP —Manassas, VA
- Holidays
- Computer Science
- System design
- No experience needed
- AD&D insurance
- Paid holidays
12d
Junior Software Developer
Jacobs —Herndon, VA
- $100,000 - $120,000 a year
- Full-time
- Computer Science
- Bachelor of Science
- Office
- Health insurance
- Dental insurance
9d
Java Developer (Junior)
DATAONEZ —Ashburn, VA
- Computer science
- Computer Science
- SQL
- Health insurance
- Opportunities for advancement
FULL STACK DEVELOPER (JUNIOR) - ANGULAR
IMPYRIAN —Ashburn, VA
- $80,000 - $100,000 a year
- Full-time
- Computer science
- Computer Science
- Software troubleshooting
- Paid holidays
- Disability insurance
Quick Apply
Junior Developer
ActioNet —Rosslyn, VA
- Up to $139,000 a year
- Full-time
- Computer Science
- Java
- Analysis skills
Quick Apply
Full Stack Software Engineer, Junior
Booz Allen Hamilton —McLean, VA
- $53,000 - $108,000 a year
- Full-time
- Azure
- Computer Science
- Research
- Disability insurance
- Health insurance
11d
Junior Software Developer
Joint Research and Development, LLC —Arlington, VA
- $40,000 - $80,000 a year
- Full-time
- Azure
- Computer Science
- Software troubleshooting
- AD&D insurance
- Disability insurance
Quick Apply

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entry level software engineer jobs near herndon, va

Lead Machine Learning Engineer

Capital One -
McLean, VA

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Job Details

Full-time

Benefits

Health insurance

Qualifications

AI models
Performance tuning
Software engineering
Machine intelligence
Bachelor's degree
Application design
Distributed systems
Distributed computing

Full Job Description

Lead Machine Learning Engineer

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.

What You’ll Do:

The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:

Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications
Retrain, maintain, and monitor models in production
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale (including AWS and Kubernetes).
Construct optimized data pipelines to feed ML models
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI
Use programming languages like Python, Go, Scala, or Java

Basic Qualifications:

Bachelor’s Degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing ML systems

Preferred Qualifications:

Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field
3+ years of experience building production-ready data pipelines that feed ML models
3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
2+ years of experience developing performant, resilient, and maintainable code using Python or Go
2+ years of experience with data gathering and preparation for ML models
2+ years of people leader experience
1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
Experience designing, implementing, and scaling, infrastructure using Kubernetes.
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer

McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer

New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer

San Francisco, CA: $215,200 - $245,600 for Lead Machine Learning Engineer

San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to [email protected]

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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Refine Your Search

entry level software engineer jobs in herndon, va

Lead Machine Learning Engineer

Application Developer (Entry Level to SME) TS/SCI with Poly REQUIRED

Junior System Engineer

Software/Web Developer (Entry Level to SME) TS/SCI with Poly REQUIRED

Software Engineer (Entry Level to SME) TS/SCI with Poly REQUIRED

Entry Level React Developer

Software Engineer I

Junior Salesforce Developer

Junior DevOps Engineer

.NET Developer (Entry Level)

Java Fullstack Developer ( Entry Level )

Engineer I, AI Agents

Junior Software Engineer

Software Engineer - Cyber Team

Junior Software Developer

Java Developer (Junior)

FULL STACK DEVELOPER (JUNIOR) - ANGULAR

Junior Developer

Full Stack Software Engineer, Junior

Junior Software Developer

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