Founding Machine Learning Engineer

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.

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 Google Cloud Platform, 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.

- 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 (Google Cloud Platform) for

ML workloads.

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

able.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.