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Drift Jobs in Reston, VA (NOW HIRING)

Peraton

Senior HPC DevOps Engineer

College Park, MD

$128K - $165K/yr

Desired-state and drift detection : Enforce desired state across cluster services via code-driven configuration; implement drift detection and alert on deviations; reconcile runtime state vs ...

Peraton

Senior HPC DevOps Engineer

College Park, MD · On-site

$146K - $234K/yr

Desired-state and drift detection : Enforce desired state across cluster services via code-driven configuration; implement drift detection and alert on deviations; reconcile runtime state vs ...

Peraton

Senior HPC DevOps Engineer

College Park, MD · On-site

$128K - $165K/yr

Desired-state and drift detection : Enforce desired state across cluster services via code-driven configuration; implement drift detection and alert on deviations; reconcile runtime state vs ...

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Showing results 21-40

All JobsDrift JobsDrift Jobs in Reston, VA

Drift information

See Reston, VA salary details

$9

$23

$33

How much do drift jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for drift in Reston, VA is $23.28, according to ZipRecruiter salary data. Most workers in this role earn between $20.53 and $25.53 per hour, depending on experience, location, and employer.

What is a drift?

A Drift, in most professional contexts, refers to a role associated with the company Drift, which specializes in conversational marketing and sales software. People working at Drift typically help businesses engage website visitors through chatbots, real-time messaging, and automation tools to accelerate sales and improve customer experience. Their responsibilities may include software development, customer support, sales, marketing, or product management, all focused on enhancing digital conversations. Drift employees work to create seamless communication between businesses and their customers, often using AI-driven solutions. The specific duties depend on the exact position within the company.

What are the key skills and qualifications needed to thrive as a drift driver?

To thrive as a Drift Driver, you need advanced car control skills, in-depth knowledge of vehicle dynamics, and experience in motorsport, often supported by a valid racing or motorsport license. Mastery of high-performance vehicles, familiarity with safety gear, and understanding of telemetry systems are typically required. Quick decision-making, concentration under pressure, and strong communication with pit crews are standout soft skills in this role. These abilities ensure safety, competitive performance, and effective teamwork in the fast-paced, high-risk environment of drift racing.

What are some typical challenges faced by drift operators, and how can they effectively address them?

Drift Operators often encounter challenges such as monitoring complex underground mining equipment, ensuring safety protocols are strictly followed, and responding quickly to unexpected issues like equipment malfunctions or hazardous conditions. Effective communication with team members and supervisors is crucial, as is staying current with safety training and operational procedures. Proactively identifying potential hazards and being adaptable in problem-solving are key strategies to excel in this role.

What is the difference between Drift vs Chatbot Developer?

AspectDriftChatbot Developer
Primary RoleDesigns and manages live chat and conversational marketing toolsDevelops and programs chatbots for various platforms
Required SkillsCustomer engagement, marketing automation, basic codingProgramming, AI, natural language processing
Work EnvironmentMarketing teams, SaaS companies, customer supportDevelopment teams, AI firms, tech companies
CertificationsMarketing automation, CRM toolsProgramming languages, AI certifications

Drift focuses on live chat and conversational marketing tools used primarily in sales and customer support, while Chatbot Developers create AI-driven chatbots across platforms. Both roles require technical skills, but Drift roles lean more toward marketing automation, whereas Chatbot Developers focus on AI programming and natural language processing.

What are popular job titles related to Drift jobs in Reston, VA?

For Drift jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Drift jobs in Reston, VA look for?

The top searched job categories for Drift jobs in Reston, VA are:

What cities near Reston, VA are hiring for Drift jobs?

Cities near Reston, VA with the most Drift job openings:

Drift jobs near you

AI/ML Engineer

Accenture Federal Services

Washington, DC

Full-time

Re-posted 12 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

47th of 492 rated business services

Job description

The work: 

  • Develop MLOps frameworks and workflows for a variety of domains and applications 
  • Build, train, deploy, and maintain machine learning models in production environments.
  • Design, develop, and maintain end-to-end ML pipelines, including data ingestion, feature engineering, training, validation, deployment, and monitoring.
  • Implement MLOps frameworks and best practices, including CI/CD pipelines, model versioning, model registries, feature stores, and automated retraining workflows. Deploy, monitor, and optimize machine learning solutions using cloud platforms and containerized technologies such as Docker, Kubernetes, SageMaker, Vertex AI, or Azure ML. And the last one.
  • Collaborate across engineering and data teams to integrate scalable ML solutions into mission-critical applications while monitoring performance and addressing model drift. 

Here's what you need: 

  • Hands-on experience building, training, deploying, and maintaining machine learning models in production environments.
  • Strong proficiency in Python and experience with one or more machine learning frameworks such as PyTorch, TensorFlow, Scikit-learn, XGBoost or Hugging Face.
  • Experience developing and maintaining end-to-end machine learning pipelines, including data ingestion, feature engineering, model training, validation, deployment, and monitoring. Experience with MLOps practices and tools, including model versioning, CI/CD pipelines, model registries, feature stores, model monitoring, and automated retraining workflows. Experience deploying machine learning models using cloud native or containerized technologies such as Docker, Kubernetes, Amazon SageMaker, Google Vertex, AI or Azure Machine Learning.
  • Experience monitoring production machine learning systems, troubleshooting model performance issues, and addressing model drift.
  • Must be a U.S. Citizen (No Dual citizenship)

Bonus points if you have: 

  • Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field, with Ph.D. preferred, but not required 

What Accenture Federal Services employees say

Pay

Benefits

Hours and flexibility

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