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Remote Machine Learning Researcher Jobs in Philadelphia, PA

Comcast

Machine Learning Engineer 3-7881

Philadelphia, PA · On-site +1

$115.50K - $138.70K/yr

... production; research, write, and edit documentation and technical requirements, including ... Position is eligible for 100% remote work. REQUIREMENTS:Master's degree, or foreign equivalent, in ...

Relativity

Senior Applied Scientist

Wilmington, DE · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... machine learning operations, and LLM engineering teams to translate complex AI research into ...

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Remote Machine Learning Researcher information

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$30.3K

$114.1K

$166K

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

As of May 29, 2026, the average yearly pay for remote machine learning researcher in Philadelphia, PA is $114,130.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $155,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Machine Learning Researcher, you need a strong background in mathematics, statistics, programming (Python, R), and a relevant advanced degree such as a Master's or Ph.D. in computer science or a related field. Familiarity with machine learning frameworks (TensorFlow, PyTorch), cloud computing platforms, and version control systems (Git) is typically required, along with published research or contributions to academic conferences. Outstanding problem-solving ability, self-motivation, and excellent written communication are crucial soft skills for remote collaboration and knowledge sharing. These skills are essential for developing innovative models, contributing to cutting-edge research, and effectively collaborating in a distributed team environment.

What are the common challenges faced by remote machine learning researchers when collaborating with global teams?

Remote machine learning researchers often collaborate with team members across different time zones and cultural backgrounds, which can make synchronous meetings and real-time problem-solving challenging. Communication of complex ideas, such as model architectures or experimental results, may require extra effort through detailed documentation and regular virtual check-ins. However, most organizations use collaborative tools like version control systems, project management platforms, and video conferencing to bridge these gaps, ensuring that research progress stays on track and team members remain aligned.

What are Remote Machine Learning Researchers?

Remote Machine Learning Researchers are professionals who study, design, and develop machine learning algorithms and models while working outside of a traditional office environment. They typically analyze data, conduct experiments, and collaborate with teams or organizations virtually to advance artificial intelligence technologies. Their work may involve tasks such as building predictive models, publishing research papers, or contributing to open-source machine learning projects. Being remote allows them flexibility in location and often the ability to work with international teams. Strong programming, mathematical, and communication skills are essential in this role.
What are popular job titles related to Remote Machine Learning Researcher jobs in Philadelphia, PA? For Remote Machine Learning Researcher jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Researcher jobs in Philadelphia, PA look for? The top searched job categories for Remote Machine Learning Researcher jobs in Philadelphia, PA are:
Remote Machine Learning Researcher jobs near you
Machine Learning Engineer 3-7881

Machine Learning Engineer 3-7881

Comcast

Philadelphia, PA • On-site, Remote

$115.50K - $138.70K/yr

Full-time

Posted 11 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

DUTIES:Contribute to a team responsible for developing software and machine learning products in an Agile development environment using Python, SQL, relational databases including MySQL, and machine learning tools including TensorFlow, PyTorch, Scikit-learn, and XGBoost; use AWS services including AWS managed Airflow, and SageMaker; model data using SQL; build data warehouse and data access visualization using Looker, Grafana, and API with Python; perform code optimization, resiliency, and parallel processing; process data using Big Data technologies including Spark and Snowflake; 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, Engineering, Data Science, Business Analytics, Statistics, or related technical or quantitative field, and one (1) year of experience developing software and machine learning products in an Agile development environment using Python, SQL, relational databases (including MySQL, Snowflake, or Teradata), and any of the following machine learning tools: TensorFlow, PyTorch, Scikit-learn, or XGBoost; using AWS services including SageMaker; modeling data using SQL; working with data warehouses and data access visualizations using API with Python; performing code optimization; and processing data using Big Data technologies including Snowflake.

Job Description


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

Agile Environments, Python (Programming Language), PyTorch, scikit-learn

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