Machine Learning Scientist

What you'll do

• Design machine-learning algorithms and neural network architectures for multimodal biosignals.
• Develop and evaluate sensor-fusion methods, iterating on prototypes for real-time inference on custom hardware.
• Maintain model benchmarking frameworks and collaborate with hardware engineers, neuroscientists, and product teams.

What they ask for

• PhD in computer science, machine learning, computational neuroscience, or a related field, or equivalent industry experience.
• Expertise in deep-learning frameworks such as PyTorch or TensorFlow, and fluency in Python.
• Track record of publishing or deploying machine-learning models in real-world systems.
• Independent, flexible, resourceful, and effective at communication and collaboration.

Nice to have

• Familiarity with human-machine interaction systems such as automatic speech recognition or neural interfaces.
• Experience with consumer wearables or custom hardware; knowledge of low-latency inference and edge-device model optimization.

Pay

$180,000 - $270,000/year (base salary)

Tools

PyTorch, TensorFlow, Python

AI focus

Deep learning for decoding and fusing multimodal biosignals from custom sensing hardware, with real-time inference and evaluation.