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Remote Google Machine Learning Engineer Jobs in Pottstown, PA

Linear Algebra Tutor

Allentown, PA · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Linear Algebra Tutor

Reading, PA · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

Adjunct Faculty Remote Employment: Remote Optional Job Number: 515 Department: Data Science ... Machine learning * Data visualization * Data manipulation Qualifications Preferred applicants will ...

Our portfolio of solution categories includes Facilities Maintenance & Engineering, ESG Programming ... Essential Duties and Responsibilities Administers and maintains the HSI online learning management ...

Showing results 41-60

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:
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.

React.js / Svelte Engineer - Remote Job

EnthuZiastic

Allentown, PA • Remote

Full-time

Re-posted 18 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are looking for a great JavaScript developer who is proficient with React.js. Your primary focus will be on developing user interface components and implementing them following well-known React.js workflows (such as Flux or Redux). You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product is important.

Responsibilities:

  • Developing new user-facing features using React.js

  • Building reusable components and front-end libraries for future use

  • Translating designs and wireframes into high quality code

  • Optimizing components for maximum performance across a vast array of web-capable devices and browsers

Our Tech Stack:

  • Svelte.js

  • React.js

  • Jest.js (Testing)

  • Tailwind

  • Typescript

  • GraphQL

  • Flutter

  • Terraform

  • Elixir / Node.js

  • AWS / Azure Cloud

Requirements
  • 2+ years of experience in React / Angular / Web Frameworks, Jest (unit testing).

  • Having GraphQL experience is a big plus.

  • Having Svelte experience is a big plus.

  • An excellent team player.

  • Constantly thinking about improving the current code, usability, user experience. Having laser focus on making the app super amazing and helping the team and company succeed.

  • Excellent communication and interpersonal skills. In the new world of work from home, we expect the ideal candidate to over-communicate.

  • Humility, collaboration, time management, and communication are as important as your technical skills.

  • Analytical thinker with exceptional problem-solving skills.

  • Excited about writing quality code, trying new technologies, and playing well with others.

  • Solid understanding of engineering and design best practices, especially as it relates to scaling high traffic and data heavy applications.

  • Previous experience with designing, building, and scaling an application to support load changes related to growth.

  • Comfortable in dealing with complexity, lots of moving pieces, coordinating with third parties, and cross-functional teams.

  • Exquisite attention to detail, ability to identify and solve edge-cases.

  • Comfortable learning new technologies and systems.

Do Not Apply If:

  • If you haven’t used Git yet.

  • You are not comfortable with startups that move fast! We’re a small group (~40) of passionate individuals who are determined to change the status quo!

Benefits
  • Opportunity to be a part of a dynamic growth focused tech startup

  • Great learning opportunities to develop new skills and understanding of cutting edge software tools and processes

  • Opportunity to work closely with serial tech entrepreneurs from Silicon Valley

  • Fun-loving environment and caring team mates and inclusive culture of the company