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Remote Machine Learning Robotics Jobs in Washington, DC

Zantech

RPA/ML Solutions Architect

Camp Springs, MD · On-site +1

$66 - $87/hr

The RPA/ML Solutions Architect leads the design and implementation of Robotic Process Automation (RPA) and Machine Learning (ML) solutions to streamline repetitive tasks, enhance decision-making ...

MNF Global

Remote - Patent Attorneys

Fairfax, VA · Remote

$280K - $350.03K/yr

... such as AI, Machine Learning, Cloud, Wireless and Data Storage. This role offers full remote ... as robotics, automotive systems, manufacturing, industrial equipment, HVAC/energy systems, and ...

MNF Global

Remote - Patent Agents

Fairfax, VA · Remote

$280K - $350.03K/yr

... such as AI, Machine Learning, Cloud, Wireless and Data Storage. This role offers full remote ... as robotics, automotive systems, manufacturing, industrial equipment, HVAC/energy systems, and ...

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Remote Machine Learning Robotics information

See Washington, DC salary details

$36.8K

$72.2K

$112.7K

How much do remote machine learning robotics jobs pay per year?

As of May 30, 2026, the average yearly pay for remote machine learning robotics in Washington, DC is $72,238.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,400.00 and $84,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Robotics Engineer, and why are they important?

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

What is a Remote Machine Learning Robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

What is the difference between Remote Machine Learning Robotics vs Remote Data Scientist?

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

What are popular job titles related to Remote Machine Learning Robotics jobs in Washington, DC? For Remote Machine Learning Robotics jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Robotics jobs in Washington, DC look for? The top searched job categories for Remote Machine Learning Robotics jobs in Washington, DC are:
Remote Machine Learning Robotics jobs near you

AI Automation Specialist - Active Public Trust/Secret Clearance

TOMORROW HIRE

Washington, DC • Remote

$100K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Job description

AI Automation Specialist

Location: 100% Remote (USA)
Clearance: Active Public Trust / Secret Clearance
Employment Type: Full-time

Salary: $100,000-$130,000

Description

USPS is seeking an experienced Automation Specialist with strong automation skills to join a dynamic team. The ideal candidate will be responsible for designing, developing, and implementing AI-driven systems to automate complex business processes using Postal tools. This includes Robotic Process Automation (RPA), Machine Learning (ML), and Natural Language Processing (NLP).

The role demands expertise in system architecture, workflow design, writing code/scripts, and building processes using Postal tools in a hybrid on-prem Windows/Unix/Linux and cloud-based environment. Candidates must be able to collaborate across CISO Security and CIO teams to automate workflows, ensure data integrity and accuracy, and support mission-critical operations.

Proven hands-on experience with AI/ML libraries, low-code/no-code tools, cloud platforms (AWS, GCP, Azure), Microsoft Power Tools, Splunk, Databricks, SharePoint, Okta automation, ServiceNow, and an RPA platform is required.

Occasional off-hours or weekend efforts may be needed for automation implementation, maintenance, upgrades, and support.

Responsibilities

  • Solution Design & Development: Create, configure, and deploy automated systems combining AI, machine learning, RPA bots, Microsoft Power Tools, Databricks, and Splunk.
  • Process Analysis: Understand and analyze repetitive, time-consuming business processes to determine the recommended automation solution using Postal tools.
  • Technical Implementation: Write and update code, build custom scripts, integrate AI models into existing infrastructure such as Splunk, Databricks, ServiceNow, and Microsoft Power Tools.
  • Maintenance & Troubleshooting: Monitor and optimize automation performance, troubleshoot errors, and ensure system scalability.
  • Collaboration: Work with IT and CISO stakeholders to define key performance indicators (KPIs) and align automation with organizational goals.

Requirements

Minimum Qualifications

  • Experience: 5+ years of experience specifically in automation/AI-related work
  • Programming: Proficiency in scripting, Python, AND (Java, OR R)
  • Technology Stack: Experience with AI/ML libraries, low-code/no-code tools, Microsoft Power Tools, Splunk, Databricks, SharePoint, Okta automation, ServiceNow ticket generation, cloud platforms (AWS, GCP, Azure), AND a Robotic Process Automation (RPA) platform
  • Data Analysis: Ability to analyze large datasets using multiple tools to uncover patterns for process optimization; ability to analyze and troubleshoot complex data ingestion and parsing issues
  • Process Management: Knowledge of Business Process Management (BPM) and workflow optimization
  • Education: Bachelor's degree in Computer Science, IT, a related field, OR 10 years of equivalent experience
  • Security Experience: Exposure to network security or cybersecurity
  • Clearance Requirement: Must already have an active Secret clearance or Public Trust

Benefits

Salary

$100,000-$130,000 based on experience

Benefits

Benefits include:

  • Medical, Dental, and Vision Insurance
  • Holidays
  • Paid Time Off (PTO)
  • Life Insurance
  • Short Term Disability
  • Long Term Disability
  • 401(k) Plans
  • Career Development
  • Certifications
  • Training and Development

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