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Remote Embedded Machine Learning Jobs in Pennsylvania

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Quantum Machine Learning and AI: Develop novel quantum algorithms and computational frameworks for ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Experiences with machine learning is a plus to the application. * Solid understanding of the ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Strong foundation in machine learning concepts, including supervised, unsupervised, and ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The work will involve research on machine learning, digital twins, electronic design automation ...

IQVIA, Inc.

AI Solutions Delivery 3 (Remote)

Wayne, PA · On-site +1

Our team offerings leverage advanced analytics, machine learning algorithms, and technology platforms for a variety of healthcare applications including finding undiagnosed patients with rare ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The position will involve machine learning for autonomous thin-film materials synthesis, including ...

IQVIA

AI Solutions Delivery 3 (Remote)

Wayne, PA · Remote

Our team offerings leverage advanced analytics, machine learning algorithms, and technology platforms for a variety of healthcare applications including finding undiagnosed patients with rare ...

IQVIA

AI Solutions Delivery 3 (Remote)

Wayne, PA · Remote

Our team offerings leverage advanced analytics, machine learning algorithms, and technology platforms for a variety of healthcare applications including finding undiagnosed patients with rare ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Qualified candidates are expected to have a background in scientific machine learning,numerical ...

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Remote Embedded Machine Learning information

What is a remote embedded machine learning engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

What are the key skills and qualifications needed to thrive as a remote embedded machine learning engineer?

To thrive as a Remote Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What are some common challenges faced by remote embedded machine learning engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.

What is the difference between Remote Embedded Machine Learning vs Remote Data Scientist?

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

What are the most commonly searched types of Embedded Machine Learning jobs in Pennsylvania?

The most popular types of Embedded Machine Learning jobs in Pennsylvania are:

What are popular job titles related to Remote Embedded Machine Learning jobs in Pennsylvania?

For Remote Embedded Machine Learning jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Remote Embedded Machine Learning jobs in Pennsylvania look for?

The top searched job categories for Remote Embedded Machine Learning jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Remote Embedded Machine Learning jobs?

Cities in Pennsylvania with the most Remote Embedded Machine Learning job openings:

Remote Embedded Machine Learning jobs near you

Senior Data Scientist, Software Engineering

Kulicke & Soffa

Fort Washington, PA • On-site, Remote

$109K - $150K/yr

Full-time

Posted 23 days ago

Job description

Position Title:

Senior Data Scientist, Software Engineering

Position Duties/

Requirements: 

Research, design, and implement advanced machine learning (ML) solutions, including image classification, time series and waveform-based models, for semiconductor manufacturing and related applications; Develop and optimize embedded software components that integrate ML algorithms into proprietary hardware systems, ensuring real-time performance and reliability; Architect and implement end-to-end MLOps pipelines, including data ingestion, preprocessing, model training, deployment, monitoring, and lifecycle management, leveraging cloud platforms and container orchestration technologies; Integrate labeling systems into the MLOps lifecycle (e.g., human-in-the-loop labeling, active learning, dataset curation tools) and design, implement, and operate reliable data stores for MLOps, including object storage, time-series databases, feature stores, and metadata registries, with robust data lineage, provenance tracking, governance, access control, and auditability; Build and maintain data pipelines for large-scale data processing, feature engineering, and model development, ensuring robustness and scalability across distributed environments; Design and develop web-based applications and services to deliver data visualization, configuration, and operational control of ML-driven solutions, integrating with backend servers and cloud infrastructure; Create and maintain automated processes and algorithms for data cleansing, anomaly detection, and interpretation of complex signals from manufacturing hardware; Collaborate with cross-functional teams to translate business and engineering requirements into actionable AIdriven solutions, including defining experiments, validation plans, and performance metrics; Develop software modules and visualization tools for interpreting machine and process signals, enabling actionable insights for R&D and production optimization; Implement CI/CD workflows for ML applications, ensuring seamless integration, version control, and automated deployment across environments; and Communicate technical findings and analytics insights to stakeholders, provide technical leadership and guidance to cross-functional teams, and serve as an internal expert on ML, MLOps, and software integration.

In order to perform the above-mentioned tasks, the following skills and experience are required: Experience designing and implementing ML-based solutions, including both image classification models and waveform-based ML models; Experience with Python for data science and ML development; Experience with embedded software programming with C++ and OOP, web application development, and databases; Experience integrating ML components into production environments, optimize performance, and ensure scalability across distributed systems; Experience with data preprocessing, feature engineering, and workflow automation for ML models; Experience with containerization (e.g., Docker, Podman) and orchestration tools (e.g., Kubernetes); Experience designing and implementing full-stack AI solutions, from embedded systems to cloud-based services, ensuring robust security and compliance; and Experience with Git, CI/CD pipelines, and automated deployment strategies for ML applications. Requires a Bachelor's degree or foreign equivalent in Data Science, Computer Science or a closely related field, and at least two (2) years of experience in a Data Scientist, Software Engineer or related occupation. Option to work from home (hybrid) may be available. Please send C.V. to amcgrath@kns.com.  

No. of Openings:

1

Rate of Pay:

$109,845 - $150,000/year

Location of Employment:  

Kulicke and Soffa Industries, Inc.

1005 Virginia Drive, Fort Washington, PA 19034

Hours: 

40

Contact: 

Ariel McGrath, Senior Advisor, HR, amcgrath@kns.com 

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