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Remote Full Stack Machine Learning Engineer Jobs in Pennsylvania

IntuitSolutions

Full-Stack Web Developer

PA · Remote

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 ...

StackandCo

Full Stack Developer (React/.NET)

Cork, KY · Remote

\n \n \n \n \n Our client is looking for Full Stack Developers to join their team for a remote 3\-6 month contract. \n \n \n \n \n \n The role will be majority front end with a small bit of server ...

SMB Team

Full Stack Developer

Philadelphia, PA · On-site +1

$160K - $180K/yr

EDUCATION - Team member education and learning budget on courses, events and books. FUN - Company ... full stack developer; proven ability to ship production-grade web applications * Must be able to ...

BNY

Vice President, Full-Stack Engineer

Pittsburgh, PA · On-site +1

$83K/yr

... learning and improvement * Ensure high-quality and performant code through comprehensive testing ... Experience with WebCenter ADF Framework and Remote portlet configurations with WebCenter Spaces ...

StackandCo

C# Full-Stack Developer (Contract)

Cork, KY · Remote

... Full Stack .Net Developer to join their team remotely. \n \n \n \n \n \n This company is well ... The contract is for an initial 6 months with remote interviewing and onboarding! \n \n \n \n \n \n ...

StackandCo

C# Full-Stack Developer (Contract)

Cork, KY · Remote

... Full Stack .Net Developer to join their team remotely. \n \n \n \n \n \n This company is well ... The contract is for an initial 6 months with remote interviewing and onboarding! \n \n \n \n \n \n ...

Motional

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 ...

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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

Staff Software Engineer, Machine Learning Inference Platform

Stack AV

Pittsburgh, PA • On-site, Remote

Full-time

Posted 14 days ago

Job description

About Stack:
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.
About the Role:
In the Staff Engineer role, you will define and drive architecture for a high-throughput, low-latency, multi-tenant ML inference platform. You will balance hands-on coding with long-term technical direction, operate across ML Platform, infrastructure, MLE, and external-facing API needs, and establish principled architecture for serving, control plane, observability, capacity, tenant isolation, system economics, and model-engine integration.
Responsibilities:
  • Design platform architecture for multi-tenant inference workloads across serving, orchestration, control plane, APIs, SDKs, observability, and model-engine integration.
  • Develop robust API layers (gRPC, WebSockets, REST, etc.) and developer SDKs that abstract complex distributed inference orchestration into seamless, reliable token streams.
  • Build and harden a multi-tenant control plane to enable accurate metering, rate limiting, quotas, tenant isolation and noisy-neighbor fairness across the platform.
  • Optimize inference performance across the entire system stack, including the model engine layer.
  • Build observability and SLOs to gain insights into system economics, cache-hit rates, GPU utilization and cost accounting per model and per tenant.
  • Partner with product and infrastructure teams on model onboarding, capacity planning, external API contracts and customer adoption.
  • Promote Engineering Excellence: Maintain a high bar for engineering excellence in their own work but also set a culture of engineering excellence within the team.

Qualifications:
  • Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Experience: 7+ years of experience building and operating backend distributed systems end to end.
  • Demonstrated cross-team technical leadership in backend distributed systems, ML infrastructure, inference serving, or high-performance compute platforms.
  • Strong Data & ML systems fundamentals: data-intensive distributed systems, concurrency, networking and performance profiling.
  • Hands-on experience running large-scale inference services on GPUs, including KV caches, prefill/decode stages and throughput/latency trade-offs.
  • Direct experience with inference engines (TensorRT, vLLM, etc) or serving frameworks (Dynamo, Triton or equivalent).
  • Technical Skills:
    • Strong programming skills in C++, Go, Rust or Python.
    • Familiarity with deep learning frameworks (PyTorch, etc.) as well as model parallelism.
    • Familiarity with GPU computing primitives such as CUDA, NCCL, NVLink, and hardware-specific optimizations.
    • Practical understanding of high-performance networking architectures, including InfiniBand, RoCE, and low-latency cluster communication.
  • Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Autonomous vehicles (AV) experience is a bonus.

We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.
Check out our Privacy Policy.
Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV's ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate's residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate's residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate's application.

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