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Machine Learning Engineer (PyTorch)

AfterQuery Experts

full-remotemidcontractbackenddata Greater Boston 65 days ago via LinkedIn
Commission-based

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Tags

PyTorchCustom AutogradCUDAATenTensor ExtensionsDistributed TrainingGPUSystems EngineeringOpen Source

About the role

Role Overview

Task-based Machine Learning Engineer (PyTorch) role requiring deep, internals-level PyTorch expertise. Complete up to 3 short PyTorch tasks (up to $150 per task), with fully remote work and rolling onboarding starting next week.

Responsibilities

  • Complete up to 3 assigned technical tasks focused on low-level PyTorch work
  • Ensure submitted code runs correctly through the full runtime, including extended/unattended execution
  • Work independently within a rolling onboarding schedule

Requirements

  • Full-time professional or research experience with PyTorch
  • Proven internals-level PyTorch experience, such as:
    • Custom autograd
    • Tensor/CUDA extensions
    • ATen-level work
  • Access to suitable GPU-enabled hardware (local GPU machine or cloud instance)

Preferred Qualifications

  • Background in ML, systems engineering, or distributed systems engineering
  • Experience with distributed training internals
  • Experience with compiler/graph-level work or numerical/algorithmic runtime optimization
  • Contributions to PyTorch or adjacent open-source libraries

About AfterQuery Experts

AfterQuery is a research lab exploring the boundaries of artificial intelligence through novel datasets and experimentation. Backed by top investors, including Y Combinator and Box Group, the lab supports and collaborates with leading AI research teams.

Scraped 7/23/2026