Job summary
Job post source
This job is directly from Cahira Technologies
Job overview
The AI/Machine Learning Engineer at Cahira Technologies will develop core AI pipelines and advanced models to optimize brain function and treat neurological diseases, impacting personalized neuro-intervention.
Responsibilities and impact
The engineer will design and deploy scalable ML pipelines for multimodal neuroscience data, develop AI models for cognitive enhancement and disease prediction, select AI frameworks and cloud infrastructure, collaborate with neuroscientists, and contribute to IP and publications.
Experience and skills
Requires a PhD or Master's in a quantitative field with 5+ years in AI/ML engineering, expertise in deep learning for time-series data, proficiency in Python and ML frameworks, experience in multimodal data fusion, MLOps, and cloud platforms; preferred skills include reinforcement learning, neuroscientific data familiarity, explainable AI, Edge-AI, foundation models, and biological signal processing.
Company information
Cahira Technologies is a neurotech startup focused on adaptive neuromodulation using large neuroscientific datasets to enhance cognitive function and treat neurological diseases.
Unique job features
This role uniquely combines advanced AI/ML techniques with neuroscience to create personalized brain intervention technologies, offering a transformative impact on human health.
Company overview
Cahira Technologies is an MIT spinoff company based in Boston, focused on developing novel sub-cellular sized wireless electronic devices. The company leverages advanced research in neuroscience, nanoelectronics, and bioengineering to create innovative neural interfaces and related technologies. Their business model centers on commercializing these cutting-edge devices, likely targeting applications in neuroscience research, medical devices, and neural engineering. Founded by Himanshu Ranjan, Cahira Technologies is recognized for building what is described as the world's first devices of their kind, positioning the company at the forefront of wireless neural technology innovation. This unique expertise and MIT heritage make Cahira Technologies a notable player in the intersection of biotechnology and electronics.
How to land this job
Position your resume to emphasize your 5+ years of AI/ML engineering experience, focusing on deep learning architectures such as RNNs, LSTMs, Transformers, and CNNs, especially applied to time-series and multimodal neuroscience data.
Highlight your proficiency in Python and ML frameworks like PyTorch and TensorFlow, along with your experience in building scalable ML pipelines and applying MLOps principles for robust deployment.
Apply through multiple channels including Cahira Technologies' corporate website and LinkedIn to maximize your application visibility and response chances.
Connect on LinkedIn with AI/ML engineers and computational neuroscientists at Cahira Technologies; use ice breakers like commenting on their recent publications, expressing your enthusiasm for neuro-intervention innovation, or asking about their work with adaptive neuromodulation.
Optimize your resume for ATS by integrating keywords from the job description such as 'multimodal data fusion,' 'neuroscientific data,' 'cloud computing platforms,' and 'reinforcement learning' to ensure it passes automated screening.
Utilize Jennie Johnson's Power Apply feature to automate tailoring your resume, finding the best application platforms, and identifying LinkedIn contacts, allowing you to focus more effectively on networking and interview preparation.
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