Machine Learning Engineer

About the Company

We’re a team of engineers, neuroscientists, and designers solving the most difficult and meaningful challenge: understanding the human brain. Our translational brain computer interface and pioneering models decode emotion, putting experience and wellbeing at the center of every interaction.

Responsibilities

• Critically evaluate and implement the best machine learning approaches for unique design problems in neural data
• Work with real-time, multi-dimensional, multimodal datasets
• Collaborate closely with neuroscience, hardware, and software teams to co-design end-to-end systems
• Explore new model architectures and perform detailed experimentation and analysis
• Learn neuroimaging and neuroscience context

Requirements

• BS or higher in Computer Science, Electrical Engineering, Applied Mathematics, or a related STEM field
• 3+ years of applied ML research or development experience
• Strong Python programming skills
• Experience with PyTorch, TensorFlow, or JAX
• Experience with data preprocessing, labeling, and exploratory analysis
• Agility working with multimodal data
• Proven ability to thrive in small, fast-moving teams

Preferred Qualifications

• Publications in top ML or domain-specific journals/conferences
• Experience with biomedical, neuroimaging, or high-dimensional sensor data
• Background in signal processing for time-series or imaging data
• Experience with distributed or large-scale training
• Knowledge of semi-supervised or self-supervised approaches