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 variousputing environments, including distributed clusters and GPUs. Write and revise papers, participate in conferences,municate and disseminate results.
Basic Qualifications:
Degree inputer Science, Statistics, Informatics, Physics, Math, Neuroscience or another quantitative field. 3+ years of experience of working in industry or research. 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. Strong scientific background and ability to formulate and test novel hypotheses with proper experiments, draw conclusions and support claims. Proficient in managing unstructured datasets with strong analytical skills. Demonstrated project management and organizational skills. Proven ability to support and collaborate with cross-functional teams in a dynamic environment.
Preferred Qualifications:
PhD and research experience inputer Science, Statistics, Informatics, Physics, Math, Neuroscience or another quantitative field. Scientific publications in top-tier AI and neuroscience conferences (NeurIPS, ICLR, ICML, AAAI, CVPR, Cosyne, SFN, CNN ecc) or peer reviewed journals Familiarity with deep learning libraries such as Pytorch, 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. Experience with non-invasive neural data (fMRI, EEG, MEG) or invasive neural recordings (ECoG, MEA, ecc).
Important information for candidates
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Verify the recruiter's identity. All our recruiters have verified LinkedIn profiles. If you're unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusualmunication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. Allmunication is done through officialpany emails and platforms. We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website. Job ID 1JQXiFXq46Ey
