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Remote Google Machine Learning Engineer Jobs in Pottstown, PA

QVC

Data Engineer

West Chester, PA · Remote

$108K - $130K/yr

Where You'll Work This role is remote; job seekers must reside in one of the following states to be ... Explore and learn about machine learning, data science, AI, and personalization technologies to ...

Jj

Senior Scientist, In-Silico Formulations

Malvern, PA · On-site +1

D. in chemical engineering, computational sciences, bioengineering, chemistry, biophysics, or ... Demonstrated application of artificial intelligence/machine learning (AI/ML) methods to solve real ...

Varsity Tutors

Data Science Tutor

Allentown, PA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Reading, PA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

micro1 AI

AI Trainer - Microbiology Expert

Allentown, PA · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Varsity Tutors

Python Tutor

Allentown, PA · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Python Tutor

Reading, PA · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Grantek

Systems Engineer

Allentown, PA · On-site +1

Key-skills and interests: machine and process control, information solutions, database development ... Learning new technologies. * Mentoring colleagues on your expertise and knowledge base. * Having ...

Lincoln Financial

Sr. Data Scientist

Radnor, PA · On-site +1

... applied machine learning, or a related analytical role. * Hands-on experience building and ... Google Vertex AI). * Advanced degree (Master's or Ph.D.) in a quantitative field. * Domain ...

Lincoln Financial

Sr. Data Scientist

Radnor, PA · On-site +1

... applied machine learning, or a related analytical role. * Hands-on experience building and ... Google Vertex AI). * Advanced degree (Master's or Ph.D.) in a quantitative field. * Domain ...

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Showing results 21-40

All JobsGoogle Machine Learning Engineer JobsRemote Google Machine Learning Engineer JobsRemote Google Machine Learning Engineer Jobs in Pottstown, PA

Remote Google Machine Learning Engineer information

See Pottstown, PA salary details

$30.6K

$125.2K

$188.1K

How much do remote google machine learning engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote google machine learning engineer in Pottstown, PA is $125,162.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $150,700.00 per year, depending on experience, location, and employer.

What is a remote Google machine learning engineer?

A Remote Google Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and artificial intelligence solutions, often using Google Cloud technologies, while working from a remote location. These engineers collaborate with cross-functional teams to solve complex business problems, optimize data pipelines, and improve model performance. Their responsibilities typically include data preprocessing, model selection, training, evaluation, and deployment, all while ensuring scalability and security. Working remotely allows them to contribute to projects from anywhere, leveraging cloud-based tools and collaboration platforms.

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

To thrive as a Remote Google Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning algorithms, typically supported by a relevant degree and experience in building scalable models. Proficiency with tools such as TensorFlow, Python, Google Cloud Platform (GCP), and familiarity with distributed systems is essential. Excellent problem-solving, communication, and self-management skills are crucial for effective remote collaboration and innovation. These capabilities enable engineers to deliver impactful machine learning solutions while seamlessly integrating with global Google teams.

How do remote Google machine learning engineers typically collaborate with cross-functional teams while working from different locations?

Remote Google Machine Learning Engineers often use a combination of video conferencing, cloud-based collaboration tools, and shared code repositories to work closely with data scientists, product managers, and software engineers. Regular stand-up meetings, sprint planning sessions, and detailed documentation help ensure everyone is aligned and project milestones are met. Despite being remote, engineers are encouraged to proactively communicate progress, share insights, and participate in code reviews to maintain a strong team dynamic and drive successful project outcomes.
What are the most commonly searched types of Google Machine Learning Engineer jobs in Pottstown, PA? The most popular types of Google Machine Learning Engineer jobs in Pottstown, PA are:
What job categories do people searching Remote Google Machine Learning Engineer jobs in Pottstown, PA look for? The top searched job categories for Remote Google Machine Learning Engineer jobs in Pottstown, PA are:
What cities near Pottstown, PA are hiring for Remote Google Machine Learning Engineer jobs? Cities near Pottstown, PA with the most Remote Google Machine Learning Engineer job openings:
Remote Google Machine Learning Engineer jobs near you
Infographic showing various Remote Google Machine Learning Engineer job openings in Pottstown, PA as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $125,162 per year, or $60.2 per hour.

Data Engineer

QVC

West Chester, PA • Remote

$108K - $130K/yr

Full-time

Medical, Retirement, PTO

Re-posted 7 days ago

QVC rating

6.0

Company rating: 6.0 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

Job description

Working at QVC Group means joining a live social shopping company with incredible teams, ambitious projects and amazing careers. QVC Group, Inc. is a Fortune 500 company with six leading retail brands - QVC, HSN, Ballard Designs, Frontgate, Garnet Hill and Grandin Road.

Your Opportunity, Your Team

The Data Engineer supports QVC and will collaborate with an Agile team to build data pipelines and models, exposing analytics through APIs and dashboards. Your work will drive data-driven decision-making and personalization, while shaping both back-end data structures and how insights are delivered.

Where You'll Work

This role is remote; job seekers must reside in one of the following states to be considered: PA, NJ, DE. Relocation assistance is not available for this role.

What You'll Do

  • Design data architecture, models, APIs, and pipelines aligned with data architecture principles and team goals.

  • Solve complex data challenges to deliver insights that drive outcomes.

  • Create data products for analytics and data science teams to improve their productivity and insights.

  • Lead the evaluation, implementation, and deployment of new tools for analytics data engineering.

  • Develop and deliver plans on analytic data engineering capabilities and standards.

  • Partner with product teams and solution architects to develop scalable, reliable technical architectures.

  • Mentor peers through code reviews, collaboration, and technical coaching.

  • Explore and learn about machine learning, data science, AI, and personalization technologies to evolve our approach.

What You'll Bring

  • Bachelor's degree in Computer Science or related field, or equivalent experience

  • 4+ years of software development and design experience with emphasis on data warehousing, ETL, and database design.

  • Experience developing data engineering processes and SQL proficiency.

  • Experience using Azure tools (Databricks, Data Factory, Delta Lake, Synapse, ADLS, PySpark, SQL Server, Databricks Notebooks).

  • Experience transforming, cleansing, and ensuring quality of large-scale data sets.

  • Knowledge of modern data architecture, application landscapes, and CI/CD tools (e.g., Azure DevOps).

  • Experience in data warehouse design (e.g., slow changing dimensions, partitioning, indexing) and AI-driven personalization models.

  • Familiarity with Agile (Scrum), distributed systems, and 247 production environments.

  • Understanding of compliance, regulations, and data governance in tech environments.

#LI-AZ1

Our Total Rewards package includes benefits you'll love such as competitive compensation, paid time off, an employee assistance program, parental leave, paid volunteer hours, and amazing company discounts! In our US market, you can also expect health care benefits starting on day 1, 401(k), and tuition reimbursement benefits.

QVC Group is committed to inclusion and belonging for all and ensuring that our workplace provides equal employment opportunities for all team members and candidates and complies with all applicable federal, state, and local laws and regulations. As an equal opportunity employer, QVC Group is committed to a barrier-free employment process. If you need reasonable accommodations/support throughout, please contact us at workwithus@qvcgrp.com for assistance.

If provided, salary ranges are a general guideline only, and actual salaries will vary and are based on factors such as a candidate's qualifications, skills, experience, and geographic location as well as business and market conditions.

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