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Remote Full Stack Machine Learning Engineer Jobs in Pennsylvania

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Machine Learning Systems Engineer

Pittsburgh, PA · On-site +1

$144K - $192K/yr

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 ...

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 ...

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

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

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

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

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

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 ...

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 JobsFull Stack Machine Learning Engineer 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 Developer (PERL)

Full Stack Developer (PERL)

Mondo

Philadelphia, PA • Remote

$55 - $60/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 4 days ago

Job description


Job Title: Senior Full-Stack Developer (Perl)
Location-Type: Remote
Start Date: ASAP
Duration: Contract-to-Hire
Compensation Range: $55-60/hr W2
Benefits: Eligible for Health, Dental, Vision, and 401K
Visa Sponsorship: Not eligible for visa sponsorship
Job Description:
This role is responsible for hands-on maintenance, modernization, and reliable delivery of legacy Perl/CGI systems running on Linux, while actively contributing to CI/CD pipelines, build workflows, and incremental migration toward containerized infrastructure.
Job Summary
•Design, develop, refactor, and optimize Perl modules and legacy CGI applications for high-performance, secure production operations.
•Troubleshoot and resolve production issues end-to-end across system, application, and deployment layers, including memory leaks and performance bottlenecks.
•Own and improve Jenkins CI/CD pipelines, including build, release, versioning, and integration of static analysis tooling.
•Manage Linux server environments, covering processes, permissions, user/group management, cron, and performance monitoring.
•Write and maintain unit tests and runbooks to support reliability and knowledge continuity.
•Apply observability practices including structured logging, log rotation, telemetry, and actionable monitoring across Apache and application layers.
•Contribute to incremental modernization efforts, including migration from VM-based infrastructure toward containerized deployments.
Minimum Requirements:
•8-10 years of professional software development experience with strong, real-world Perl expertise including legacy Perl/CGI systems.
•Proficiency in Linux server operations (RHEL, CentOS, Debian, or Ubuntu) using CLI tools such as grep, awk, sed, jq, and diff.
•Hands-on experience with module management (CPAN, Makefile.PL, Build.PL), secure input handling, and performance tuning.
•Solid front-end proficiency in HTML, CSS, and JavaScript.
•Experience owning Jenkins pipelines (multibranch, Jenkinsfile), artifacts, credentials, and release cadence.
•Strong troubleshooting and root-cause analysis mindset with the ability to work independently in legacy and ambiguous environments.
•Demonstrated ability to collaborate effectively across distributed, cross-timezone teams.
Preferred Qualifications:
•Experience with Angular or React in an enterprise development context.
•Containerization experience, including Docker and container-based deployments.
•AWS or cloud platform exposure.
•Familiarity with observability tooling such as OpenTelemetry or structured logging frameworks.
•Experience modernizing legacy systems incrementally, including VM-to-container migrations.
•Background with Node.js-based build tooling for static assets, including bundling, minification, and cache busting.
•Familiarity with enterprise tooling such as Jira, Bitbucket, GitHub Enterprise, Azure DevOps, or Octopus Deploy.