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Remote Full Stack Machine Learning Engineer Jobs in New Jersey

QCi

Job Title: Software Engineer, Full Stack Location: Remote Division: Technology Department ... quantum machines to the world today. We are the pioneers of Entropy Quantum Computing (EQC ...

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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 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 New Jersey?

The most popular types of Full Stack Machine Learning Engineer jobs in New Jersey are:

What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in New Jersey?

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

What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in New Jersey look for?

The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in New Jersey are:

What cities in New Jersey are hiring for Remote Full Stack Machine Learning Engineer jobs?

Cities in New Jersey with the most Remote Full Stack Machine Learning Engineer job openings:

Remote Full Stack Machine Learning Engineer jobs near you

Software Engineer, Full Stack (Remote)

QCi

On-site, Remote

Full-time

Re-posted 19 days ago

Job description

Job Title: Software Engineer, Full Stack
Location: Remote
Division: Technology
Department: Engineering
About Us
Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. We are the pioneers of Entropy Quantum Computing (EQC), utilizing open quantum systems to solve NP-hard optimization problems. The Company's portfolio offers unique capabilities in high-performance computing, artificial intelligence, cybersecurity, and remote sensing.
Position Description
We are seeking a Full Stack software engineer to help build the web management interface for our quantum computing devices. You will work across the stack to design REST APIs, implement React and TypeScript interfaces, and integrate with the underlying hardware control services.You will collaborate closely with backend engineers working on the hardware control platform, as well as with UI/UX and Product teams to turn operator workflows into a clean, reliable web experience.
Responsibilities
  • Build and maintain a unified React, TypeScript, and Next.js codebase that serves as the central management interface for user access, system administration, and system auditing, deployed in both cloud environments and on-premise hardware appliances.
  • Design and implement RESTful APIs that expose device operations, telemetry, and configuration to the web console.
  • Integrate with distributed backend microservices to surface real-time hardware telemetry, job scheduling, and system status in the UI.
  • Implement client-side data visualizations for device state, telemetry streams, and system health.
  • Build configuration and credential management flows, including interfaces for generating, rotating, and auditing device keys and access credentials.
  • Implement network configuration interfaces that replace and extend existing CLI-based workflows, giving operators a browser-based alternative to restricted shell access.
  • Implement Role-Based Access Control (RBAC) across the API and UI layers to enforce permissions and view-level security.
  • Manage runtime configuration so the application connects to the correct service endpoints across cloud and on-premise deployments.
  • Contribute to CI/CD pipelines for deploying the console alongside hardware releases, including containerized builds for on-premise appliances.
  • Partner with backend, UI/UX, and Product teams to translate operator workflows into reliable, well-tested features.

Required Qualifications
  • 3+ years of professional software engineering experience building full-stack web applications.
  • Frontend experience with React and TypeScript, including building interfaces for technical or operator-facing users.
  • Backend experience in Python, including building REST APIs with FastAPI, Flask, Django REST Framework, or similar.
  • Experience contributing to web management consoles, from REST API endpoints through UI implementation, and key and credential management.
  • Familiarity with real-time data flows (WebSockets, SSE, or streaming telemetry endpoints) on either the server or client side.
  • Working knowledge of web security fundamentals (OWASP Top 10, XSS/CSRF mitigation) and experience with authenticated sessions using OAuth2/OIDC.
  • Experience implementing Role-Based Access Control (RBAC) in the UI, the API, or both.
  • Comfort with modern CSS layout (Grid, Flexbox) and implementing UI/UX designs.
  • Familiarity with CI/CD practices for deploying web applications.

Preferred Qualifications
  • Experience with systems that manage cryptographic keys, credentials, or sensitive device configuration.
  • Exposure to on-premise or appliance deployment models, including runtime configuration across cloud and local environments.
  • Experience with containerized deployments (Docker).
  • Experience with Next.js.
  • Exposure to data visualization libraries (D3.js, Three.js, or similar) for representing device state, network topology, or telemetry.

Skills
Python, React, TypeScript, Next.js, REST APIs, WebSockets, CSS3, SCSS, Responsive Design, OAuth2, OIDC, OWASP, RBAC, Docker, CI/CD

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