Machine Learning Scientist

Position Summary The Machine Learning Scientist uses scientific, mathematical, and computational (software) skills to advance research and clinical (commercial) products for Epitel. This role is heavily involved with all machine learning and data science aspects of the company. This role is also involved with research and grant-funded aims. Key Responsibilities Research, develop, and implement modern computational techniques for time-series analysis, including classical and neural network machine learning methods. Develop and maintain scientific codebases in Python including data ingestion, processing, machine learning, post-processing, evaluation, and visualization. Develop performant scientific software utilizing parallelism and capable of operating in distributed computing environments. Engineer data workflows for ML experiments that track data/feature/experiment versions with transparency. Report key findings in academic journals and at conferences. Minimum Required Qualifications Education: Master’s degree in a computational science field (e.g., Computer Science, Machine Learning, Statistics, Computational Neuroscience) Programming: Must be proficiently skilled in Python based scientific programming and machine learning - e.g., Scikit-Learn, Numpy, Pandas, SciPy, Tensorflow, Keras, PyTorch, etc. Mathematics: Must be strong with foundational mathematics and statistics Machine Learning Techniques: Proficiency in modern ML architectures, unsupervised learning techniques, data modeling, ML OPs utilities. Experience: 4+ years relevant industry or related experience working specifically on ML development for time-series applications. Other: Must be able to travel to and participate in in-person scientific conferences Preferred Qualifications Strong preference for a candidate with experience in developing ML workflows for EEG analysis specifically or other neuro/bio/physiological time-series data. Background in scientific software engineering and/or High-Performance Computing Experience working with TB-scale disaggregated datasets AWS / Data engineering experience Publication experience ** Interested Applicants Can Apply at: https://forms.gle/mafrArsW6PhGpqGB7 Key Competencies Divergent Thinking: the ability to come up with novel solutions to open-ended problems or identify new questions/new problems An understanding of software design principles, including the ability to write flexible, interpretable code for use by other teammates Minimal Oversight - We are a small and growing company and this role will require one to work diligently without constant oversight. Open communication is critical. QMS - Must be able to document all aspects of the code-base and deployment in a clear and well-detailed manner. Company & Culture Epitel is a venture-backed company empowering clinicians, patients, and caregivers who live with or care for neurological disorders. Epitel employs proprietary EEG wearables and powerful ML/AI to create a platform for brain diagnostics. Our system cuts the time to diagnose brain disorders from hours to minutes and solves critical care access issues. We’re building toward a continuous neurology care platform that will create novel biomarkers for neurological disorders. If you’re interested in a high-impact role at a neurology pioneer, this is it! Benefits Remote-friendly - we’re open to the best candidate anywhere in the US. To that end, we provide a stipend for a remote worksite of your choice (e.g., WeWork, Industrious) and WFH gear (e.g., keyboard, mouse, camera, etc.) Equity - every employee shares in Epitel’s success Professional development allowance - we do better when you do better Medical/dental coverage - we pay 100% of premiums Simple IRA contribution Unlimited vacation - we also take typical US holidays Pay: $130,000.00 - $180,000.00 per year Benefits: 401(k) 401(k) matching Dental insurance Flexible schedule Health insurance Health savings account Paid time off Parental leave Retirement plan Vision insurance People with a criminal record are encouraged to apply Experience: time-series machine learning development: 3 years (Required) Work Location: Remote