Senior ML Engineer

Job Description

We are seeking an experienced Senior Machine-Learning (ML) Engineer to join our growing team. The person who fills this role will apply ML principles and practices to large datasets of time-series data and associated metadata to create decoding models and discover new

insights, all as part of a larger goal to empower individuals with severe physical disabilities to control a computer and communicate effectively with others.

Key Responsibilities

• Design and create state-of-the-art ML models for translating time-series data into control signals for a computer and for communication
• Perform feature engineering on existing and future data to discover richer representations of the datasets
• Ensure robustness of the decoding models and pipeline for product deployment in real-world scenarios
• Incorporate existing advanced AI tools (e.g. LLMs) into research workflows
• Assist in designing cloud-based ML systems and data structures for large-scale operational pipelines and data-science platforms
• Working collaboratively within a small team to address ML needs of the products, including assisting in the integration of ML models into product applications
• Working independently to achieve ML milestones in a timely fashion without being micro-managed
• Follow proper coding practices to create and maintain reproducible, clear, and highly documented code• Contribute to documentation for a Quality Management System, as appropriate and relevant to ML implementations that become part of medical products

Ideal Candidate

• Has extensive experience and can demonstrate proficiency in ML applications, particularly those involving time-series data
• Has worked on projects related to medical or clinical applications
• Is highly motivated to work on fast-paced projects that will positively impact patient quality of life
• Can communicate clearly and effectively and enjoys working closely as part of a small team

Required Qualifications

• Bachelor's or Master's degree in Math, Engineering, Data Science, or other relevant quantitative fields
• Minimum of 5 years of combined academic and professional ML experience
• Proficiency in Python and either tensorflow or pytorch (pytorch is preferred)
• Proficiency in using GPUs and GPU software toolkits to accelerate ML pipelines

Preferred Qualifications

• PhD in a relevant quantitative field
• Both academic and industry ML experience
• Publication history in ML-related academic projects
• Experience working with time-series data from human participants or other physiological time-series data