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Remote Machine Learning Quant Jobs in Pennsylvania

Machine Learning Engineer 3-7881

Philadelphia, PA · On-site +1

$115.50K - $138.70K/yr

Position is eligible for 100% remote work. REQUIREMENTS:Master's degree, or foreign equivalent, in ... quantitative field, and one (1) year of experience developing software and machine learning ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Machine Learning Staff Scientists play a supporting role in enabling the research efforts of ...

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

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Remote Machine Learning Quant information

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

AspectRemote Machine Learning QuantRemote Data Scientist
Required CredentialsAdvanced degrees in quantitative fields, certifications in machine learning or financeDegrees in data science, statistics, or related fields; certifications like CAP or DASCA
Work EnvironmentFinancial firms, hedge funds, or quantitative trading companiesTech companies, research institutions, or consulting firms
Industry UsageFinance, trading, hedge fundsTechnology, healthcare, marketing, finance
Common Search/ComparisonYesNo

Remote Machine Learning Quants focus on developing quantitative models for trading and investment strategies within financial firms, often requiring finance-specific knowledge. Remote Data Scientists work across various industries, applying data analysis and machine learning to solve diverse business problems. While both roles involve machine learning, Quants are more finance-oriented, whereas Data Scientists have broader industry applications.

What are the most commonly searched types of Machine Learning Quant jobs in Pennsylvania? The most popular types of Machine Learning Quant jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Machine Learning Quant jobs? Cities in Pennsylvania with the most Remote Machine Learning Quant job openings:
Infographic showing various Remote Machine Learning Quant job openings in Pennsylvania as of May 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, 1% Contract, and 1% Nights. Highlights an 63% Physical, 5% Hybrid, and 32% Remote job distribution.
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

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.

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