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Remote Accelerate Learning Jobs in Pennsylvania (NOW HIRING)

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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 ...

IQVIA

Senior Data Team Lead (Remote)

Philadelphia, PA · Remote

$86K - $217K/yr

Career growth and learning opportunities through mentoring and internal mobility * Inclusive ... We create intelligent connections to accelerate the development and commercialization of innovative ...

IQVIA

Senior Data Team Lead (Remote)

Philadelphia, PA · Remote

$86K - $217K/yr

Career growth and learning opportunities through mentoring and internal mobility * Inclusive ... We create intelligent connections to accelerate the development and commercialization of innovative ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... To accelerate progress in this emerging area, the Quantum Frontiers Postdoctoral Scholar will serve ...

Makeway

Full-Stack Web Developer

Pittsburgh, PA · On-site +1

We are a fully remote team primarily located in New York, Ohio, and Pennsylvania-but we work from ... to accelerate development and strengthen the quality of the work. * Continue learning as ...

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Remote Accelerate Learning information

What is the difference between Remote Accelerate Learning vs Remote Learning Coordinator?

AspectRemote Accelerate LearningRemote Learning Coordinator
Required CredentialsTypically requires a degree in education, training, or related field; certifications in instructional design or e-learning are commonUsually requires a degree in education, communication, or related field; certifications in curriculum development or online teaching are beneficial
Work EnvironmentPrimarily online, involving content development, training sessions, and learner engagementPrimarily online, coordinating learning programs, managing schedules, and supporting learners
Employer & Industry UsageUsed by educational institutions, corporate training companies, and e-learning platformsUsed by schools, universities, and corporate training departments

Remote Accelerate Learning focuses on developing and delivering educational content and training programs, often involving content creation and instructional design. In contrast, a Remote Learning Coordinator manages the logistics, schedules, and support for online learning programs. Both roles require similar credentials and work in online environments, but their core responsibilities differ in content development versus program coordination.

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

Machine Learning Systems Engineer

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Pittsburgh, PA • On-site, Remote

Other

Re-posted 22 days ago

Job description

Mission Summary:

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models.

What you'll be doing:

  • Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time.
  • Distributed Training: Optimize distributed training pipelines using frameworks such as PyTorch Distributed.
  • Kernel Development: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads.
  • Data Pipeline Engineering: Optimize robust data loading pipelines that maximize training throughput.

What we're looking for:

  • Education: Bachelor's, Master's degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline.
  • Software Engineering: Strong proficiency in Python.
  • ML Frameworks: Extensive hands-on experience with PyTorch.
  • ML Knowledge: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.
  • Problem Solving: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

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