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Remote Machine Learning Robotics Jobs in Philadelphia, PA

Machine Learning Engineer 3- 7882

Philadelphia, PA · On-site +1

$56.25 - $74.50/hr

Position is eligible for 100% remote work. REQUIREMENTS: Master's degree, or foreign equivalent, in ... machine learning techniques including tree-based models, or linear and logistic regression; using ...

New

Additionally, FORT's Safe Remote Control enables operators to manage heavy machinery remotely ... FORT Robotics is hiring an Account Executive to lead sales efforts across the United States. As a ...

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

Remote (Preference for Northeast/Mid-Atlantic; monthly travel to Plymouth Meeting, PA as needed ... Develop predictive models, scoring frameworks, and machine learning solutions that enhance business ...

... 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 ...

Overview Location * US-Remote or Marlton, NJ area Job Title * Software Engineer Salary ... Build and integrate AI-enabled capabilities into applications, including machine learning models ...

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Remote Machine Learning Robotics information

See Philadelphia, PA salary details

$32.8K

$64.4K

$100.4K

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

As of Jul 16, 2026, the average yearly pay for remote machine learning robotics in Philadelphia, PA is $64,360.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,400.00 and $75,700.00 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 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.

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 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.
What are popular job titles related to Remote Machine Learning Robotics jobs in Philadelphia, PA? For Remote Machine Learning Robotics jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Robotics jobs in Philadelphia, PA look for? The top searched job categories for Remote Machine Learning Robotics jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Remote Machine Learning Robotics jobs? Cities near Philadelphia, PA with the most Remote Machine Learning Robotics job openings:
Machine Learning Engineer 3- 7882

Machine Learning Engineer 3- 7882

Comcast

Philadelphia, PA • On-site, Remote

$56.25 - $74.50/hr

Full-time

Posted 2 days ago

New


Job description

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we're making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world.

Job Summary

Job Description

DUTIES: Contribute to a team responsible for developing and supporting optimization and forecasting solutions for software used for inventory management, planning, and campaign delivery; apply mathematical programming, including linear and mixed integer programming and decomposition techniques; use machine learning techniques including tree-based models, linear and logistic regression, and time series models; use scikitlearn to create models; perform statistical modeling using techniques including linear and logistic regression, as well as clustering analysis, to determine the best modeling technique for a given dataset and problem; program using Python; manage code using Git; perform time series forecasting; manage relational databases and analyze data using SQL; perform distributed computing using Spark and TensorFlow; contribute to both software engineering and machine learning sides of projects by implementing, rening, and validating machine learning algorithms for products and applications; take action on existing specications of designs and develop data pipelines consisting of data ingest, data validation, data cleaning, and data monitoring; train machine learning models, validate the accuracy of the machine learning models once trained, and deploy validated machine learning models into production; research, write, and edit documentation and technical requirements, including evaluation plans, conuence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports; create patents, including Application Programming Interfaces (APIs) and other intellectual property; test and evaluate solutions presented by various internal and external partners and vendors; complete case studies, testing, and reporting; design proof of concept solutions and contribute to studies to support future product or application development; collaborate with teams outside of immediate work group; and represent the work team in providing solutions to technical issues associated with assigned projects. Position is eligible for 100% remote work.

REQUIREMENTS: Master's degree, or foreign equivalent, in Computer Science, any Engineering, Data Science, Business Analytics, Statistics, or related technical or quantitative field, and one (1) year of experience using machine learning techniques including tree-based models, or linear and logistic regression; using scikitlearn or similar packages to create models; performing statistical modeling using techniques including either clustering algorithms, or linear and logistic regression, to determine the best modeling technique for a given dataset and problem; programming using Python; managing code using Git; of which six (6) months includes performing time series forecasting; analyzing data using SQL; and performing distributed computing using Spark, TensorFlow, or a similar framework.


Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Skills

scikit-learn, Tensorflow, Tree-Based Models

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