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Remote Full Stack Machine Learning Engineer Jobs in Philadelphia, PA

Apply now: Sr. Software Engineer (Full Stack) , Remote (EST Hours Required). Start date is ASAP for this Contract-to-Hire position. Job Title: Sr. Software Engineer (Full Stack) Location-Type: Remote ...

Xactus is proud to provide a friendly work environment that is primarily remote. Our workforce ... Self-motivated, organized, collaborative, and comfortable learning legacy systems and specialized ...

Xactus is proud to provide a friendly work environment that is primarily remote. Our workforce ... The Senior Full Stack Engineer is a senior individual contributor responsible for designing ...

Full Stack Developer Founded in 2001, IntuitSolutions is a leading technology company that offers ... The Location: remote. Our headquarters are in Philadelphia. Why Should You Apply? * We are a best ...

Sr. Full Stack Engineer

Philadelphia, PA ยท Remote

$140K - $160K/yr

We're looking for a Sr. Full Stack Engineer who's eager to think big and build products that make a difference, improving the experience of tens of thousands of caregivers and families. You'll work ...

Sr. Full Stack Engineer

Philadelphia, PA ยท On-site +1

$140K - $160K/yr

We're looking for a Sr. Full Stack Engineer who's eager to think big and build products that make a difference, improving the experience of tens of thousands of caregivers and families. You'll work ...

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Remote Full Stack Machine Learning Engineer information

See Philadelphia, PA salary details

$44.9K

$136K

$192.2K

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

As of Aug 25, 2026, the average yearly pay for remote full stack machine learning engineer in Philadelphia, PA is $135,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $159,400.00 per year, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as a remote full stack machine learning engineer?

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 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 most commonly searched types of Full Stack Machine Learning Engineer jobs in Philadelphia, PA?

The most popular types of Full Stack Machine Learning Engineer jobs in Philadelphia, PA are:

What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in Philadelphia, PA?

For Remote Full Stack Machine Learning Engineer jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Philadelphia, PA look for?

The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Remote Full Stack Machine Learning Engineer jobs?

Cities near Philadelphia, PA with the most Remote Full Stack Machine Learning Engineer job openings:

Sr. Software Engineer (Full Stack)

Mondo

Horsham, PA โ€ข Remote

$60 - $65/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 28 days ago


Job description

Apply now: Sr. Software Engineer (Full Stack) , Remote (EST Hours Required). Start date is ASAP for this Contract-to-Hire position. Job Title: Sr. Software Engineer (Full Stack) Location-Type: Remote (must be able to work Eastern Standard Time hours) Start Date: ASAP Duration: Contract-to-Hire Compensation Range: $60/hr - $65/hr on W2 Benefits: Eligible for Health, Dental, Vision, and 401K Visa Sponsorship: Not eligible for visa sponsorship Job Description: The client is seeking a Senior Full Stack Software Engineer to independently own and deliver end-to-end features across a modern platform, partnering closely with a Product Owner and a small, collaborative engineering team. Job Summary: Design, build, and maintain full-stack features spanning React front-end interfaces and Java Spring Boot back-end services Develop and consume REST APIs within a microservices-oriented architecture, with attention to performance, scalability, and reliability Build and support Node.js and Next.js layers in a Backend for Frontend (BFF) pattern to serve modern UI needs Architect and optimize SQL and NoSQL database schemas and queries for production-grade workloads Deploy and support applications on AWS, leveraging native cloud services for hosting and infrastructure Partner with the Product Owner and stakeholders to drive features from discovery through production, navigating ambiguity and evolving requirements Operate with a high degree of independence, delivering quality solutions within an Agile/Scrum team of seven Minimum Requirements: 5-10 years of professional software development experience with a strong record of delivering production-quality solutions independently Demonstrated full-stack proficiency: JavaScript, React, and modern UI patterns on the front end; Java and Spring Boot on the back end Hands-on experience designing and consuming REST APIs, including addressing performance, scalability, or reliability challenges Experience with SQL and NoSQL databases, including schema design and query optimization Working experience with AWS native services in a production environment Ability to work collaboratively within an Agile/Scrum environment alongside a Product Owner, Technical Lead, and cross-functional teammates Preferred Qualifications: Experience in the financial services industry Familiarity with MuleSoft or similar integration platforms Experience with Next.js and Backend for Frontend (BFF) architectural patterns Exposure to secure, accessible, and performant web development practices including API integration patterns