20 Best ai/ml engineer jobs in Washington, DC (Hiring Now!)

Principal Data Scientist - NLP
Capital One —McLean, VA
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science…
Senior Engineer - Generative AI Product Engineer
Capital One —McLean, VA
Bachelor’s degree in Computer Science, Computer Engineering or a technical field. You will work with a team of world-class AI engineers and researchers to…
Senior Engineer - Generative AI Product Engineering
Capital One —McLean, VA
Bachelor’s degree in Computer Science, Computer Engineering or a technical field. You will work with a team of world-class AI engineers and researchers to…
AI/ML Engineer
Elexis Ventures —McLean, VA
We are seeking an AI/ML Engineer who will develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning, and use the…
$185,000 - $215,000 a year
Quick Apply
2d
Artificial Intelligence (AI) Engineer (Remote)
Institute for Humane Studies —Arlington, VA
Assist in the development of strategies to foster technical innovation in creating opportunities with partners to own well-placed technical AI/ML tools.
Estimated: $107K - $135K a year
3h
AI/ML Engineer, Google Cloud
Google —Washington, DC
Ability to lead the design and implementation of AI-based solutions, web services, and debugging tools. You will consult with customers on how to best design…
22h
AI Engineer
SphereOI Studios —McLean, VA
We fuse data strategy with data science and design driven innovation to create customer technologies for commercial and federal customers.
Estimated: $118K - $149K a year
Quick Apply
“AWS Data Architect with AI/ML and GEN-AI
PSRTEK —Reston, VA
Should have ability to explain complex technical concepts to non-technical stakeholders like business unit executives. Strong knowledge on fine tuning LLMs.
$107,465.91 - $129,421.30 a year
Quick Apply
7d
Applied Researcher I
Capital One —McLean, VA
Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.
Principal, AI Assurance
Amazon Web Services, Inc. —Arlington, VA
15+ years of experience in project/program management in a technical field. You will serve as a subject matter expert on AI/ML assurance, staying up-to-date…
From $127,800 a year
20h
Sr Distinguished Engineer, Generative AI Systems - (Remote- Eligible)
Capital One —McLean, VA
Master’s degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques.
Prompt Engineer
BAE Systems —Sterling, VA
Collaborate with researchers, engineers, and other stakeholders to advance the state-of-the-art in LLM applications. Contributions to open-source NLP projects.
$92,290 - $156,860 a year
4d
Data Visualization Specialist (Data Scientist 2) - 19533
HII —Alexandria, VA
3 years relevant experience with Bachelors in related field; 1 years experience with Masters in related field; or High School Diploma or equivalent and 7 years…
$87,509 - $120,000 a year
11h
Full Stack Engineer II (Secret Clearance)
Hardy Dynamics —Arlington, VA
Bachelor’s Degree in Computer Science or related technical field or equivalent practical experience. Prototype intuitive browser-based user interfaces that…
Estimated: $118K - $149K a year
Quick Apply
7d
Senior Lead Engineer - Generative AI Infrastructure (Remote-Eligible)
Capital One —McLean, VA
Master's or Doctoral degree in Computer science, Computer Engineering, Electrical engineering, Mathematics, or a similar field.
Model & Data Development Analyst
Rhombus —Washington, DC
These sources will help expand the scope of the platform across regional, functional, and technical domains using open-source and commercially available data,…
Estimated: $98.8K - $125K a year
Quick Apply
1d
Product Manager, AI Platform Security
Pryon —Washington, DC
Participate in technical discussions with Engineering and R&D to understand how technical design decisions impact scope, timeline and trade-offs.
$140,000 - $165,000 a year
Quick Apply
Customer Engineer, Federal Civilian Agencies, Public Sector
Google —Washington, DC
You will help prospective customers and partners understand the power of Google Cloud explaining technical features, helping customers design architectures,…
22h
TEMPEST Engineer - TS/SCI w/Polygraph
General Dynamics Information Technology —Chantilly, VA
Provides advanced analytical and support to projects involving training, tactical/operational documentation, military systems design or other efforts requiring…
$110,500 - $149,500 a year
22h
Full Stack Software Engineer Level I - Active Secret Clearance Required
Redhorse Corporation —Arlington, VA
Bachelor’s Degree in Computer Science or related technical field OR equivalent practical experience. Applicants who do not posses a current and active Secret…
Estimated: $81.5K - $103K a year
Quick Apply

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Principal Data Scientist - NLP

Capital One - McLean, VA

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Job Details

Full-time

Benefits

Health insurance

Qualifications

Doctoral degree
PyTorch
Relational databases
R
Data analysis skills
Master's degree
Databases
SQL
AWS
Math
Bachelor's degree
Machine learning
Doctor of Philosophy
Scala
Natural language processing
Data analytics
1 year
Python
Data Science

Full Job Description

Center 3 (19075), United States of America, McLean, Virginia

Principal Data Scientist - NLP

At Capital One, we think big and do big things. We are not just a nationally recognized credit card issuer, a top 10 bank by deposit, but a high-tech company with products that reach tens of millions of consumers and have been recognized by numerous prestigious awards for their customer-friendliness. Capital One was the first major bank to move to cloud computing and to publish APIs for the Open Banking future. AI is transforming every industry. At Capital One, you will help shape how it transforms financial services.

Team Description

AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One’s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies.

In this role, you will:

Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money.
Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.
Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.
Flex your interpersonal skills to translate the complexity of your work into tangible business goals.

The Ideal Candidate is:

Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.
Technical. You’re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms.
Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences.
You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF.
You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products.

Basic Qualifications:

Currently has, or is in the process of obtaining a Bachelor’s Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 3 years in data analytics, or currently has, or is in the process of obtaining PhD, with an expectation that required degree will be obtained on or before the scheduled start date
At least 1 year of experience in open source programming languages for large scale data analysis
At least 1 year of experience with machine learning
At least 1 year of experience with relational databases

Preferred Qualifications:

Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
At least 1 year of experience working with AWS
At least 3 years’ experience in Python, PyTorch, Scala, or R
At least 3 years’ experience with machine learning
At least 3 years’ experience with SQL
At least 3 years' experience working with natural language processing

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

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.

New York City (Hybrid On-Site):
$161,900 - $184,800 for Data Science PhD
San Francisco, California (Hybrid On-site):
$171,500 - $195,800 for Data Science PhD

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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com

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).

Apply Now

ai/ml engineer jobs in Washington, DC

Principal Data Scientist - NLP

Senior Engineer - Generative AI Product Engineer

Senior Engineer - Generative AI Product Engineering

AI/ML Engineer

Artificial Intelligence (AI) Engineer (Remote)

AI/ML Engineer, Google Cloud

AI Engineer

“AWS Data Architect with AI/ML and GEN-AI

Applied Researcher I

Principal, AI Assurance

Sr Distinguished Engineer, Generative AI Systems - (Remote- Eligible)

Prompt Engineer

Data Visualization Specialist (Data Scientist 2) - 19533

Full Stack Engineer II (Secret Clearance)

Senior Lead Engineer - Generative AI Infrastructure (Remote-Eligible)

Model & Data Development Analyst

Product Manager, AI Platform Security

Customer Engineer, Federal Civilian Agencies, Public Sector

TEMPEST Engineer - TS/SCI w/Polygraph

Full Stack Software Engineer Level I - Active Secret Clearance Required

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ai&#x2F;ml engineer jobs in Washington, DC

ai/ml engineer jobs in Washington, DC