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Remote Machine Learning Robotics 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 ...

Agility Robotics

Senior Manager, Simulation

Pittsburgh, PA · On-site +1

$208K - $324K/yr

You'll work at the intersection of physics simulation, hardware abstraction, and robot learning ... fully remote, with up to one week of travel per month. The final salary offered to a successful ...

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 ...

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Remote Machine Learning Robotics information

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

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 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 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

Staff Software Engineer, ML Acceleration

Stack AV

Pittsburgh, PA • On-site, Remote

Full-time

Re-posted 12 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:
The ML Training Acceleration team is dedicated to increasing Stack AV's product development velocity by accelerating machine learning iterations. Our core mission is to deliver a training system that is reliable, scalable, user-friendly and observable. This involves profiling, optimizing, and fine-tuning our ML models, as well as evangelizing best practices and frameworks among Machine Learning Engineers (MLEs) across the company.
Responsibilities:
  • Analyze ML models to identify and resolve performance bottlenecks.
  • Incorporate OSS tools to enable ML engineers self-sufficiently profile and optimize models.
  • Deliver solutions to streamline model deployment across various hardware platforms.
  • Collaborate with ML researchers to balance model accuracy and speed.
  • Implement optimizations using CUDA, Triton, and custom kernels.
  • 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: 5+ years of experience (including experience with GPU programming and optimization)
  • Technical Skills:
    • Strong programming skills in C++ and Python
    • Proven experience in GPU programming and optimization
    • Familiarity with deep learning frameworks, especially PyTorch
    • CUDA programming
    • Triton language for GPU kernels
    • PyTorch optimization techniques
    • TensorRT implementation
    • ONNX model conversion and deployment
    • Custom GPU kernel development
    • Deep understanding of GPU architectures and performance optimization
  • Problem-Solving: Strong analytical and problem-solving skills
  • 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

#LI-AW1
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.
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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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