Machine Learning Research Engineer

Location San Francisco
Discipline: AI & Machine Learning Jobs
Job type: Permanent
Salary: US$200000.00 - US$250000.00 per annum + Equity Package
Contact name: Cassie Cavender

Contact email:
Job ref: BBBH12335_1655300076
Published: 13 days ago

ML Research Engineer - San Francisco/Remote

Acceler8 Talent is seeking a talented and driven ML Research Engineer to develop simulators of novel neuromorphic architectures and a training pipeline to implement common neural network architectures with the Neuromorphic Architecture Team. You'll get to work closely with the algorithms teams to understand algorithmic requirements and their implementation on a hardware level.

This company is backed by world leaders in artificial intelligence, semiconductors, and general technology like Sam Altman and Jeff Rothschild. They have developed a novel processor architecture inspired by the human brain to train large deep learning and neural network algorithms.

Based in Bay Area or open to fully remote.


  • Ph.D. degree in Electrical Engineering, emphasis on AI acceleration
  • In-memory computing and NVM (RRAM, PCM) technology experience
  • Good understanding of modern hardware architecture
  • In-depth understanding of low-precision training and inference methodologies
  • Expertise in training algorithms (backpropagation, SGD, second-order methods, etc.), deep learning architectures (Transformers, ResNets, DLRMs, MLP-mixers, etc.), and their underpinning math.
  • Proficient coding skills with cloud GPU-accelerated PyTorch or other modern machine learning libraries such as TensorFlow or Caffe

Preferred Qualifications:

  • Extensive knowledge of sparsity in deep learning (sparse weights, activations, gradients, attention, etc.)
  • Published code portfolio
  • Familiar with biologically plausible methods of learning (feedback alignment and equilibrium propagation)
  • Deep knowledge in mixed-signal design concepts