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Machine Learning Engineer

Jobgether

full-remotemidpermanentbackenddataproduct-management United States 135 days ago via LinkedIn

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Tags

Machine LearningDeep LearningPyTorchPythonGenerative AIBrain-Computer InterfaceHugging Face TransformersDistributed SystemsEEGScientific Experimentation

About the role

Role Overview

Machine Learning Engineer for a globally distributed, innovation-driven team working on AI + neuroscience. You will build and optimize scalable deep learning models for brain decoding and AI-driven neuroscience applications, including generative AI systems.

Accountabilities

  • Develop, train, and optimize scalable deep learning models for brain decoding and related applications.
  • Collaborate with research scientists and cross-functional teams on generative modeling and representation learning.
  • Maintain and improve ML pipelines for high performance, scalability, and reliability across distributed/GPU environments.
  • Support research activities: experimentation, hypothesis testing, technical documentation, and participation in conferences/publications.
  • Ensure strong software engineering practices: automation, code quality, and reproducibility.
  • Identify bottlenecks and improve workflows, infrastructure, and model performance.
  • Assist with deployment and adaptation of AI models across diverse compute environments and changing needs.

Requirements

  • Bachelor’s degree in a quantitative field (CS, Mathematics, Physics, Statistics, Neuroscience, Informatics, or similar).
  • 3+ years of professional or research experience in machine learning/deep learning/AI engineering.
  • Strong Python programming skills and hands-on experience with PyTorch.
  • Solid understanding of supervised, self-supervised, semi-supervised, and generative deep learning.
  • Ability to design experiments, evaluate models scientifically, and draw data-driven conclusions.
  • Experience with large or unstructured datasets and strong analytical/problem-solving skills.
  • Strong collaboration, communication, and organization in cross-functional, remote settings.

Nice to Have

  • Familiarity with Hugging Face, Transformers, Diffusers, and/or Accelerator.
  • Experience with generative models, large language models, or neural data (EEG, fMRI, MEG).
  • PhD-level research experience and publications in leading AI/neuroscience conferences.

About Jobgether

Jobgether is an online platform that matches candidates to job opportunities using an AI-driven process. This posting is for a partner company working at the intersection of artificial intelligence, neuroscience, and digital finance, focusing on brain-computer interface technologies and advanced ML systems.

Scraped 5/13/2026