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Remote Full Stack Machine Learning Engineer Jobs in Pennsylvania

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

... full" delivery. If you're looking for an opportunity to contribute to truly transformative ... Collaborate with the Director of Cloud Engineering and Director of Autonomy to ensure ML systems ...

Varsity Tutors

Machine Learning Tutor

Reading, PA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Allentown, PA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Harrisburg, PA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Erie, PA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Pittsburgh, PA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Chester, PA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

BNY

Senior Vice President, Full-Stack Engineer

Pittsburgh, PA · On-site +1

$167K - $218K/yr

The Bank of New York Mellon seeks Senior Vice President, Full-Stack Engineer in Pittsburgh, PA, to ... Remote work may be permitted within a commutable distance from the worksite. REQUIREMENTS: Bachelor ...

Varsity Tutors

Machine Learning Tutor

State College, PA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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All JobsRemote Full Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer Jobs in Pennsylvania

Remote Full Stack Machine Learning Engineer information

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

What is the difference between Remote Full Stack Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

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

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.
What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Pennsylvania? The most popular types of Full Stack Machine Learning Engineer jobs in Pennsylvania are:
What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in Pennsylvania? For Remote Full Stack Machine Learning Engineer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Pennsylvania look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities in Pennsylvania with the most Remote Full Stack Machine Learning Engineer job openings:
Remote Full Stack Machine Learning Engineer jobs near you
Full Stack Product Engineer (Agentic Workflows)

Full Stack Product Engineer (Agentic Workflows)

Life Science Connect

Horsham, PA • On-site, Remote

$125K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Job description

About Us
Life Science Connect is transforming from a traditional B2B publisher into a modern data authority. We build the specialized platforms, identity systems, and intelligence layers that help life sciences professionals accelerate development and discover market opportunities. We are leaning heavily into a high-efficiency, decoupled stack and modern, AI-augmented engineering workflows to build products that matter.
The Mission
We are looking for a hands-on, high-velocity Full-Stack Engineer to join our core product engineering team. You will not be moving tickets across a board all day or sitting in endless alignment meetings. You will be building, iterating, and shipping.
This role is focused on expanding our digital footprint: rapidly developing our internal company intelligence platform, deploying customer-facing tools, optimizing headless Optimizely integrations, and expand our architecture to new product lines. You will work directly with our Principal Software Engineer to turn product initiatives into high-utility, revenue-generating reality.
What You'll Actually Do
  • Build with Leverage: Own the implementation of new product features and decoupled architecture using Next.js and React maintaining a relentless focus on performance and minimal technical debt.
  • Orchestrate Agentic Workflows: Integrate Cursor and agentic engineering methodologies into your daily development loop. We don't just tolerate AI-assisted coding; we expect you to master context window management, multi-file prompting, and local execution blocks to achieve a massive output multiplier.
  • Integrate Headless Infrastructure: Develop clean, reusable front-end components that hook seamlessly into a Headless CMS (Optimizely/ODP), ensuring our content delivery is lightning-fast at the edge.
  • Collaborate across the Core: Partner directly with our Data and DevOps teams to ensure everything we ship maintains data integrity across our Snowflake core, supports progressive profiling, and moves through our automated CI/CD pipeline cleanly.

What We Are Looking For
  • 3+ Years of Experience: You've spent significant time in production codebases building modern, full-stack web applications.
  • The Modern Stack: Deep familiarity with Next.js, React, RESTful APIs, and cloud deployments (Vercel/GitHub Actions).
  • Augmented Engineering Native: You have spent the last year moving past basic code completion and into deep, hands-on usage of Cursor and agentic software tools. You know how to guide an LLM to build exactly what you need without letting it create a mountain of spaghetti code.
  • Product Mentality: You care about the "why" behind the code. You understand how an elegant interface or integration translates to user retention, direct data-sharing utility, and business revenue. We see personalization and augmenting our processes with intelligence is the key to success.
  • Autonomy: You are comfortable working in a distributed environment where documentation matters, specifications drive development, and independent problem-solving is prized above micromanagement.

We Invest in YOU
At Life Science Connect, our commitment to empowering innovation and facilitating growth within the life sciences sector extends to our employees. We offer a comprehensive total compensation program designed to support your overall health, financial well-being, and professional development.
In addition to a competitive salary, you'll enjoy:
• Medical/vision/prescription/dental coverage for you and your family
• 100% company-paid short- and long-term disability insurance
• 100% company-paid life insurance
• 401(k) with dollar-for-dollar company match up to 6%
• 15 vacation days and 6 personal days on day 1
• 13 company-paid holidays
To view all our job postings and showcases for some of our employees, visit: https://lifescienceconnect.com/careers/
Principals only. We do not accept unsolicited resumes from third-party recruiters or staffing agencies. No visa sponsorship is available for this position.

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