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Remote Machine Learning Robotics Jobs in Villanova, PA

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

AI Principal Product Manager

Exton, PA · On-site +1

$160K - $175K/yr

Translate machine learning model behavior into clear, actionable user experiences * Ensure AI ... Remote-first flexibility * Opportunities for professional growth and advancement Please Note: This ...

New

Our team offerings leverage advanced analytics, machine learning algorithms, and technology platforms for a variety of healthcare applications including finding undiagnosed patients with rare ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

New

Our team offerings leverage advanced analytics, machine learning algorithms, and technology platforms for a variety of healthcare applications including finding undiagnosed patients with rare ...

Our team offerings leverage advanced analytics, machine learning algorithms, and technology platforms for a variety of healthcare applications including finding undiagnosed patients with rare ...

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

Showing results 21-40

Remote Machine Learning Robotics information

See Villanova, PA salary details

$29.7K

$58.2K

$90.9K

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

As of Sep 14, 2026, the average yearly pay for remote machine learning robotics in Villanova, PA is $58,248.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,800.00 and $68,500.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a remote machine learning robotics engineer?

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 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.

Infographic showing various Remote Machine Learning Robotics job openings in Villanova, PA as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $58,248 per year, or $28 per hour.

Principal Machine Learning Engineer I** Hybrid in Horsham, PA or Remote EST Preferred

Horsham, PA • On-site, Remote

RELX
Technology, Communication and Media • 10K+ employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

About Our Team

For over 50 years, LexisNexis Reed Technology has partnered with the U.S. Patent and Trademark Office (USPTO) to deliver secure, scalable, and high-quality patent data processing solutions. Our work transforms complex, unstructured patent submissions into standardized, searchable outputs that power examiner workflows and public dissemination.

We operate in a highly regulated environment with strict security requirements, large-scale data volumes, and complex business rules. Our focus is on modernizing legacy workflows through automation, AI, and platform transformation to improve efficiency, accuracy, and cost effectiveness.

About the Role

Principal AI Engineer - Architecture Track

We are seeking a hands-on Principal AI Engineer who can design and build production-grade AI solutions while growing into a broader AI Architect role. This position is ideal for an experienced AI developer or technical lead who has strong engineering depth, understands modern AI architecture, and is ready to expand their influence across platforms, products, and delivery teams.

The Principal AI Engineer will work closely with product managers, architects, data scientists, software engineers, security teams, and government stakeholders to translate mission and business needs into secure, scalable, and reusable AI capabilities. The role will initially focus on solution design and hands-on implementation, with increasing responsibility for architecture standards, technical strategy, governance, and cross-team alignment.

***Conditions of Employment:
  • You must be a U.S. citizen to apply for this position.

  • You must successfully pass a background investigation and achieve Public Trust security clearance.

  • Must be located near the Horsham, PA location for a hybrid onsite schedule.

ResponsibilitiesAI Solution Design and Development
  • Design, prototype, and implement AI-powered applications, services, agents, and workflows.
  • Translate business, user, and government mission requirements into practical technical solutions.
  • Develop solutions using large language models, retrieval-augmented generation, machine learning, natural language processing, computer vision, or other relevant AI technologies.
  • Build reusable AI components, services, APIs, evaluation frameworks, and reference implementations.
  • Integrate AI capabilities with enterprise platforms, data sources, workflows, and existing applications.
  • Balance rapid experimentation with the engineering discipline required for secure, reliable production systems.
  • Evaluate models, platforms, frameworks, and vendors based on performance, cost, security, scalability, and mission fit.
Architecture and Technical Leadership
  • Contribute to solution architectures covering applications, models, data, integrations, infrastructure, security, and operational monitoring.
  • Partner with senior architects to establish AI architecture patterns, guardrails, standards, and reference architectures.
  • Help teams make informed decisions regarding commercial, open-source, and internally developed AI capabilities.
  • Identify opportunities to create shared AI services and reusable capabilities across products, contracts, and government agencies.
  • Participate in architecture reviews and clearly document technical decisions, tradeoffs, assumptions, and risks.
  • Provide technical guidance, code reviews, mentoring, and hands-on support to engineering and data science teams.
  • Grow into ownership of end-to-end AI solution architecture and broader technical strategy.
Government and Stakeholder Engagement
  • Support technical discovery sessions, demonstrations, proofs of concept, proposals, RFIs, and RFP responses.
  • Communicate complex AI concepts, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences.
  • Help move successful prototypes into secure, supportable, and scalable production capabilities.
  • Stay informed about evolving government AI policies, standards, acquisition practices, and responsible-AI expectations.
Requirement
  • Bachelor's degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience.
  • Significant professional software engineering experience, including experience delivering production applications or platforms.
  • Hands-on experience developing AI, machine-learning, or data-intensive solutions.
  • Proficiency in Python and experience with APIs, cloud services, data pipelines, software development practices, and source control.
  • Experience with modern generative-AI patterns, such as large language models, retrieval-augmented generation, embeddings, vector search, tool use, structured outputs, or AI agents.
  • Understanding of cloud-native architecture, system integration, identity and access management, observability, and secure development practices.
  • Ability to evaluate technical alternatives and explain architecture decisions and tradeoffs.
  • Experience working across product, engineering, data, security, and business teams.
  • Strong written and verbal communication skills.
  • Ability to satisfy applicable government background, suitability, or contractual requirements.
  • Incorporate security, privacy, accessibility, explainability, auditability, and human oversight into solution designs.
  • Establish appropriate evaluation methods for accuracy, relevance, groundedness, bias, safety, and reliability.
  • Design controls for model and prompt versioning, data lineage, access management, logging, monitoring, and traceability.
  • Partner with cybersecurity, legal, privacy, compliance, and governance teams throughout the solution lifecycle.
  • Ensure solutions align with applicable organizational policies, contractual obligations, and government requirements.
  • Design human-in-the-loop controls based on the risk and impact of the decisions supported or performed by AI.
Preferred Qualifications
  • Experience delivering technology solutions for U.S. federal, state, or local government customers.
  • Experience working in government contracting, regulated environments, or programs involving sensitive data.
  • Familiarity with government security and compliance frameworks, such as NIST, FedRAMP, FISMA, or agency-specific controls.
  • Experience with one or more major cloud platforms, particularly AWS, Microsoft Azure, or Google Cloud.
  • Experience with AI orchestration frameworks, model gateways, vector databases, evaluation platforms, MLOps, or LLMOps.
  • Understanding of model evaluation, prompt engineering, fine-tuning, data governance, and responsible-AI practices.
  • Experience moving AI proofs of concept into production.
  • Experience supporting technical proposals, RFIs, RFPs, solution demonstrations, or customer workshops.
  • Prior technical leadership, mentoring, or architecture-review experience.
  • Relevant cloud, architecture, security, data, or AI certifications.
Work in a Way That Works for You

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

  • Working flexible hours to help you fit everything in and work when you are the most productive

Working for You

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits

  • Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan

  • Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs

  • Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity

  • Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits

  • Health Savings, Health Care, Dependent Care and Commuter Spending Accounts

  • Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

About the Business

LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.

U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Formor please contact 1-855-833-5120.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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