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Remote Machine Learning Robotics Jobs in Pennsylvania

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in ... About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ...

Comcast

Machine Learning Engineer 3-7881

Philadelphia, PA · On-site +1

$115.50K - $138.70K/yr

Position is eligible for 100% remote work. REQUIREMENTS:Master's degree, or foreign equivalent, in ... machine learning products in an Agile development environment using Python, SQL, relational ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Machine Learning Staff Scientists play a supporting role in enabling the research efforts of ...

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Remote Machine Learning Robotics information

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Robotics Engineer, and why are they important?

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

What is a Remote Machine Learning Robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

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

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

What are the most commonly searched types of Machine Learning Robotics jobs in Pennsylvania? The most popular types of Machine Learning Robotics jobs in Pennsylvania are:
What are popular job titles related to Remote Machine Learning Robotics jobs in Pennsylvania? For Remote Machine Learning Robotics jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Robotics jobs in Pennsylvania look for? The top searched job categories for Remote Machine Learning Robotics jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Machine Learning Robotics jobs? Cities in Pennsylvania with the most Remote Machine Learning Robotics job openings:
Remote Machine Learning Robotics jobs near you
Principal Machine Learning Scientist

Principal Machine Learning Scientist

Gather AI

Pittsburgh, PA • On-site, Remote

Full-time

Posted 27 days ago

Job description

About Us
Are you ready to build the future of the supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery.
If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.
About the Team
This role work closely with a Senior Machine Learning Scientist and our Lead Machine Learning Infrastructure Engineer, alongside cross-functional partners in Cloud Engineering, Product, and Operations. The role spans both deep technical work and collaboration with teams closest to the customer. As a Principal-level IC, you'll have real input into technical direction - not just executing on decisions, but helping make them.
About the Role
We are looking for a Principal Machine Learning Scientist to advance the state of our computer vision systems for warehouse inventory scanning. You will work across the full ML lifecycle - from research and model architecture through training, deployment, and production monitoring - with a focus on delivering measurable improvements to detection, segmentation, and OCR accuracy across our drone and MHE Vision products.
This role is ideal for a senior ML practitioner who wants principal-level impact on a core product, a variety of deployment targets (cloud, on-prem, embedded), and real-world data with tangible business outcomes.
What You'll Do
  • Advance core computer vision model performance (object detection, segmentation, OCR) for warehouse inventory scanning across drone and MHE Vision platforms
  • Own the full ML lifecycle from research and experiment design through production deployment and monitoring - applying rigorous ablation studies and SOTA methodology
  • Collaborate with the ML infrastructure team on model optimization and deployment across cloud and edge inference targets (ONNX, TensorRT, quantization)
  • Work with Operations and Product to understand customer needs and translate them into ML improvements with measurable business impact
  • Provide technical leadership and mentorship to the ML team, raising standards for experiment design, model evaluation, and production readiness
  • Explore next-generation perception capabilities, including embedded and on-prem inference optimization for new deployment targets

What You'll Need
  • 10+ years of experience in machine learning or computer vision
  • Deep expertise in CNNs, object detection, image segmentation, and OCR using PyTorch (preferred) or TensorFlow
  • Strong Python proficiency and software engineering fundamentals; hands-on experience with OpenCV and GPU computing
  • Track record of delivering production ML systems at scale, including model training, evaluation, and deployment
  • MS or PhD in Computer Science, Machine Learning, Robotics, or a related field

Nice to Have
  • Experience with drone, robotics, or autonomous systems perception
  • Publications in top vision or robotics conferences (CVPR, ICCV, ICRA, NeurIPS, CoRL)
  • Experience designing and deploying models for real-time inference on constrained compute platforms
  • Warehouse, logistics, or supply chain domain experience

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