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Remote Nvidia Machine Learning Jobs in Lansdowne, PA

Comcast

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 ...

Soni Resources

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 ...

TSMG

AI/ML Data Contributor

Philadelphia, PA · Remote

... 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 ...

TSMG

AI/ML Data Contributor

Philadelphia, PA · Remote

... 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 ...

Gnostech

Software Engineer (US-Remote)

Marlton, NJ · On-site +1

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 ...

GATE 1 LTD

A.I. Manager

Fort Washington, PA · On-site +1

Build and lead a remote AI team, including recruiting, mentoring, and performance management ... Guide model development, including machine learning, deep learning, NLP, and generative AI ...

Pepperidge Farm, Incorporated

Data Scientist

Camden, NJ · On-site +1

$109K - $150K/yr

You will leverage machine learning and advanced analytics to improve forecast accuracy, optimize ... Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday-Thursday in-office) * 10-15 ...

Campbell's

Data Scientist

Camden, NJ · On-site +1

$109K - $150K/yr

You will leverage machine learning and advanced analytics to improve forecast accuracy, optimize ... Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday-Thursday in-office) * 10-15 ...

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Remote Nvidia Machine Learning information

See Lansdowne, PA salary details

$24K

$40.1K

$82.9K

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

As of Jul 28, 2026, the average yearly pay for remote nvidia machine learning in Lansdowne, PA is $40,134.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,600.00 and $43,400.00 per year, depending on experience, location, and employer.

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

AspectRemote Nvidia Machine LearningRemote Data Scientist
Required CredentialsDeep learning, GPU programming, Nvidia certificationsStatistics, programming, data analysis
Work EnvironmentFocus on GPU-accelerated ML models, Nvidia toolsData analysis, modeling, visualization
Industry UsageAI, autonomous vehicles, gaming, HPCBusiness analytics, research, finance

Remote Nvidia Machine Learning specialists focus on developing GPU-accelerated AI models using Nvidia technologies, often requiring specific certifications and expertise in GPU programming. In contrast, Remote Data Scientists analyze data, build predictive models, and interpret results across various industries. While both roles involve data and programming skills, Nvidia Machine Learning roles are more specialized in GPU-based AI development, whereas Data Scientists have broader data analysis responsibilities.

What cities near Lansdowne, PA are hiring for Remote Nvidia Machine Learning jobs? Cities near Lansdowne, PA with the most Remote Nvidia Machine Learning job openings:
Remote Nvidia Machine Learning jobs near you
Machine Learning Engineer 3- 7882

Machine Learning Engineer 3- 7882

Comcast

Philadelphia, PA • On-site, Remote

$56.25 - $74.50/hr

Full-time

Posted 15 days ago

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

We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality-to help support you physically, financially and emotionally through the big milestones and in your everyday life.


Please visit the benefits summary on our careers site for more details.

Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

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