Which cities near Washington, DC have the most machine learning job openings?

The cities near Washington, DC that boast the highest number of machine learning jobs are: Kent Bellevue Tacoma Spokane Virginia Beach Seattle Everett Spokane Valley Renton

Which cities near Washington, DC have the most job openings?

The 10 cities near Washington, DC that have the most job openings are: Kent Bellevue Tacoma Spokane Anchorage Virginia Beach Seattle Manchester Everett Spokane Valley

What are the most popular job searches in Washington, DC?

The 10 most popular job searches in Washington, DC are: amazon work from home government amazon warehouse summer online customer service data entry customer care data entry clerk

What are the highest-paying jobs in Washington, DC?

The highest-paying jobs are: 911 operator ( from $ 82,359 to $ 461,180 year ) hospitalist ( from $ 100,000 to $ 257,063 year ) owner operator ( from $ 58,500 to $ 250,000 year ) associate dentist ( from $ 120,000 to $ 250,000 year ) director of customer service ( from $ 42,324 to $ 250,000 year ) visa sponsorship ( from $ 85,280 to $ 250,000 year ) sound engineer ( from $ 103,200 to $ 245,000 year ) pediatrician ( from $ 75,000 to $ 244,558 year ) medical editor ( from $ 64,625 to $ 238,968 year ) customer service director ( from $ 59,174 to $ 236,550 year )

Which cities in the United States of America offer the highest salaries for machine learning jobs?

The top 10 cities are: Grand Rapids, MI ( from $ 177,531 to $ 240,706 year ) Lansing, MI ( from $ 109,700 to $ 240,100 year ) Simi Valley, CA ( from $ 136,688 to $ 235,450 year ) Spokane Valley, WA ( from $ 135,458 to $ 234,943 year ) Charleston, SC ( from $ 112,230 to $ 233,350 year ) Chula Vista, CA ( from $ 174,990 to $ 229,500 year ) Fairfield, CA ( from $ 151,875 to $ 227,500 year ) Sunnyvale, CA ( from $ 150,000 to $ 225,000 year ) Hampton, VA ( from $ 107,500 to $ 225,000 year ) Wichita Falls, TX ( from $ 145,250 to $ 223,751 year )

Machine learning Jobs in Washington, DC

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Machine learning • washington dc

Last updated: 1 day ago

Machine Learning Engineer

eTeam IncWashington, District of Columbia, United States

Full-time

Quick Apply

Fulltime Role:: Senior Data Scientist (Machine Learning & Azure):: Arlington, VA (100% Onsite)

Stellent IT LLCArlington, VA, United States

Full-time +1

Quick Apply

Job Title: Senior Data Scientist (Machine Learning & Azure) Location: Arlington, VA (100% Onsite) Employment Type: Full-Time (Permanent) Benefits: 100% Healthcare Coverage + Relocation Assis...Show more

Associate, Learning & Development

PathstoneAlexandria, VA, United States

Full-time

Associate, Learning & Development.Requisition Number: LEARN001477.Company Description: Pathstone is a growing wealth management firm serving ultra-high net worth families, single family offices, fo...Show more

Dish Machine Operator

IHOPWashington, DC, US

Full-time

IHOP Dish Machine Operators (DMO) will be responsible for cleaning and maintaining dishware/utensils for the continued smooth operation of the restaurant.IHOP DMOs will also perform assigned sanita...Show more

Machine Learning Engineer

ProSidian Consulting, LLCAlexandria, Virginia, United States

Full-time

ProSidian Seeks a Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117] for Program Support on a Exempt W2: No Overtime Pay Basis located...Show more

Machine Tool Trainee

TradeJobsWorkforce22214 Arlington, VA, US

Full-time

As a Machinist Trainee, you will be responsible for working within the framework of a team and performing the following activities: Learn the required skills to work within the Pilot Metals Develop...Show more

Productive Learning Specialist

Food for the HungryWashington, DC, US

Full-time

Responsible for providing specialized technical assistance in the design and implementation of quality youth-focused Productive Learning initiatives, including formal and non-formal learning approa...Show more

Senior Data Scientist - Python, Machine Learning

Innovative Object SolutionsWashington, District Of Columbia, United States

Full-time

Salary: $130,286 - 160,430 per year.Minimum of 4 years of experience in a Data Scientist role or equivalent focusing on machine learning, AI, natural language processing, and big data analytics.Str...Show more

Machine Learning Engineer, Data & Machine Learning (DML)

Amazon Web Services, Inc.Arlington, Virginia, USA

Full-time

This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance.The Amazon Web Services Professional Services (ProServe...Show more

Machine Learning Engineer (GoLang)

Comcast CorporationWashington D.C., District of Columbia, United States

Full-time

Make your mark at Comcast -- a Fortune 30 global media and technology company.From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions...Show more

Data Science/Machine Learning Engineer (Remote, Continental United States)

ICA.aiArlington, Virginia, United States

Remote

Full-time

International Consulting Associates, Inc.We were founded in 2009 to assist government clients with evaluating and achieving their objectives.We have become a trusted advisor helping our clients by ...Show more

Learning & Development Coordinator

Navstar Inc.Arlington, VA, United States

Full-time

Learning & Development Coordinator.Innovative Defense Technologies (IDT), a leading defense technology company, is seeking a Learning & Development Coordinator to be part of our Human Resources tea...Show more

Machine Learning & Operations Engineer

OptiTrackArlington, VA, US

Remote

Full-time

Quick Apply

OptiTrack is a global leader in motion capture technology, delivering precision tracking solutions for animation, robotics, virtual production, biomechanics, and industrial applications.OptiTrack i...Show more

Machine Learning Engineer - Autonomy Lab

Carnegie Mellon UniversityArlington, VA

Full-time +1

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of Artificial Intelligence (AI) techn...Show more

Director, Machine Learning Engineering, CNN Digital Products & Services

Turner Services Inc.DC Washington 820 1st Street NE

Full-time

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth.Behind WBD’s vast portfolio of iconic ...Show more

Learning & Development Intern

SpowerArlington, VA, United States

Full-time

Are you ready to be part of a company that's not just talking about the future, but actively shaping it? Join The AES Corporation, a Fortune 500 company that's leading the charge in the global ener...Show more

Vending Machine Associate

POP MART Americas Inc.Hyattsville, Maryland, United States

Part-time

HK), founded in 2010, is a leading global company in the trend culture and entertainment industry.Centered around IP, POP MART has built a comprehensive platform for creative incubation and IP oper...Show more

IT Learning Specialist

Hogan LovellsWashington, DC, United States

Full-time +1

The IT Learning Specialist, based in the Washington, D.The IT Learning Specialist's goal is to ensure that firm personnel not only master necessary software features but can successfully apply them...Show more

Machine Learning Engineer

eTeam IncWashington, District of Columbia, United States

30+ days ago

Job type

Full-time

Quick Apply

Job description

Pay Rate: $60 - $65/Hour

Overview:

We are seeking a skilled and experienced Machine Learning (ML) Engineer to join our team in a customer-facing role. You will architect and implement innovative ML solutions, working closely with data scientists and engineers to put algorithms and models into practice to solve our customers' most challenging problems. You will take the lead in planning, designing, and running experiments, while researching new algorithms to deliver impactful solutions.

Key Responsibilities:

Design, build, and deploy machine learning models within the proposed platform, ensuring they are optimized for performance and scalability.
Collaborate with Data Scientists and Data Engineers to implement feature stores, model management (MLOps), and Explainable AI (XAI) capabilities.
Monitor and optimize the performance of deployed models, ensuring they meet business requirements and performance standards.
Support model management, versioning, and deployment workflows to streamline the operationalization of machine learning models.
Engage directly with customers to understand their business problems and help implement tailored ML solutions.
Deliver Machine Learning projects end-to-end, including understanding business needs, planning projects, aggregating & exploring data, building & validating predictive models, and deploying completed ML capabilities on the AWS Cloud to deliver business impact.
Utilize deep learning frameworks like PyTorch and TensorFlow to build computer vision models for versatile applications.
Work on large-scale datasets, creating scalable, robust, and accurate computer vision systems.
Collaborate with Cloud Architects to build secure, robust, and easy-to-deploy cloud-native machine learning solutions.
Work closely with customer account teams and product engineering teams to optimize model implementations and deploy cutting-edge algorithms.
Assist customers with Machine Learning Operations (MLOps) workflows such as model deployment, retraining, testing, and performance monitoring.
Apply best practices from core Software Development activities to Machine Learning, including deplorability, unit testing, and structured, extensible software development.

Preferred Qualifications:

Proven experience in building and deploying machine learning models at scale.
Proficiency with deep learning frameworks like PyTorch and TensorFlow.
Experience with cloud-native machine learning solutions, preferably on AWS.
Experience with Databricks
Experience with Agile Methodology
Strong understanding of MLOps workflows, including model management.
Ability to work independently and collaboratively with cross-functional teams.