Remote Machine Learning Engineer

Summary

Join our dynamic Brain & AI team as a machine learning engineer to develop AI models that enhance our understanding of neural mechanisms and apply this knowledge to real-world applications.

Requirements

• Strong programming skills in Python, with experience in developing machine learning algorithms or infrastructure using Python and PyTorch
• Experience in deep learning techniques such as supervised, semi-supervised, self-supervised learning, and/or generative modeling
• Proficient in managing unstructured datasets with strong analytic skills
• Demonstrated project management and organizational skills
• Proven ability to support and collaborate with cross-functional teams in a dynamic environment

Responsibilities

• Develop and evaluate scalable deep learning algorithms that are central to our brain decoding initiatives
• Collaborate closely with data scientists to pioneer research in generative modeling and representation learning
• Identify bottlenecks in data processing pipelines and devise effective solutions, improving performance and reliability
• Maintain high standards of code quality, organization, and automatization across all projects
• Adapt machine learning and neural network algorithms to optimize performance in various computing environments, including distributed clusters and GPUs

Preferred Qualifications

• Degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field
• Familiarity with deep learning libraries such as Huggingface, Transformers, Accelerator and Diffuser
• Hands-on experience in training and fine-tuning generative models like diffusion models or large language models such as GPTs and LLAMAs
• Experience with data and model visualization tools