Summary:
A growing neurotech organization in the Bay Area is seeking an Applied AI Scientist to develop advanced machine learning models for complex, high-dimensional data. This position focuses on designing and optimizing transformer architectures and other AI systems for real-time and large-scale applications.
Hybrid 3x/week
Key Responsibilities:
Build and refine transformer-based and other ML models for sequence and signal data.Develop scalable pipelines for training, inference, and deployment.Evaluate emerging AI research and adapt relevant methods for internal use.Collaborate with engineering and data teams to integrate models into production systems.Maintain reproducible workflows with clear documentation and version control.Contribute to quality and process standards supporting robust ML development.Qualifications:
Bachelor's in Computer Science or related field.5+ years of professional experience in machine learning or applied AI.Proven track record building and deploying ML models in distributed or GPU-accelerated environments.Strong proficiency in Python and PyTorch.Experience with transformer architectures and high-dimensional time-series data.Visa transfers can be supported.
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