Machine Learning Research Engineer, Wispr AI

• MS or Ph.D. in computer science, machine learning, or related engineering field
• 3+ years of hands-on research experience in machine learning (in academia or industry)
• Strong research/publication track record
• Experience in Python and deep learning libraries (Pytorch, Numpy, Pandas, etc.)
• Hands on experience with cloud computing (e.g. AWS)
• Outstanding team player and communicator

Desirable

• Your role will include the research and development of core ML models, setting up the infrastructure to experiment, metrics to measure success, drive data curation, and more
• You will be working closely with research scientists and Wispr's product team to test the models in real-world environments
• Your work may touch upon unsupervised pre-training, semi-supervised learning, synthetic data generation, multi-modal feature extraction, and more
• Design and improve deep learning architectures for neural signals from novel hardware
• Scale up data collection and run experiments on large datasets
• Setup best practices for ML research and set company-wide benchmarks to test models
• Explore and invent novel ways to decode neural signals with low latency
• Collaborate with neuroscientists, ML engineers, and interaction designers to unlock new capabilities to design the most natural and seamless human-computer interactions