We are seeking a Founding Machine Learning Engineer to own the predictive core of our

technology. You will be responsible for designing and training the models that translate raw

neural signals into actionable life-saving alerts. This role is ideal for an engineer who thrives on

building from scratch and applying state-of-the-art Computer Vision architectures to complex

time-series data.

 
 
location: Chicago, Illinois
job type: Permanent
salary: $120,000 - 160,000 per year
work hours: 9am to 5pm
education: Bachelors
 
responsibilities:
Key Responsibilities

- Model Development: Build, train, and optimize deep learning models (CNNs, Transform-

ers) from scratch to detect pre-ictal states in EEG data.

- Pipeline Architecture: Design end-to-end ML pipelines on AWS or GCP, ensuring efficient

data ingestion and model deployment.

- Signal Processing: Implement advanced preprocessing techniques for high-frequency

neural signals to maximize model performance.

- Strategic Innovation: Stay at the forefront of ML research, evaluating and implementing

novel architectures to improve prediction lead times and accuracy.

 
qualifications:
- Experience: 3+ years of professional ML experience in an industry setting (preferential to

academic-only backgrounds).

- Technical Stack: Expert proficiency in Python, TensorFlow, Keras, and Jupyter Notebooks.

- Deep Learning: Proven track record of training Computer Vision models (CNNs, Trans-

formers) from scratch for complex pattern recognition.

- Cloud Infrastructure: Hands-on experience with AWS or Google Cloud Platform (GCP) for

ML workloads.

- The "Plus" Factor: Direct experience with EEG or ECoG signal processing is highly desir-

able.