Machine Learning Engineer, Neural Decoding

NeuroDoctrine; Los Angeles (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

Neural Systems & Signal Processing in Los Angeles is seeking a Machine Learning Engineer, Neural Decoding. Train and deploy neural-decoding models that translate brain signals into command intent for swarm and C2 systems.

This full-time role is based in Manchester/Los Angeles and focuses on end-to-end model development. You will own decoding models from dataset to on-device inference, collaborate with signal-processing and neuromorphic engineers, and ensure robustness against field conditions

Qualifications

• Experience with ML for time-series or biosignals.
• Ability to evaluate models under noisy real-world data.
• Bias toward deployable systems.

Responsibilities

• Own decoding models from dataset to on-device inference.
• Collaborate with signal-processing and neuromorphic engineers.
• Ensure models stay robust under field conditions.

Skills

Time-series ML

Biosignals

PyTorch

JAX

Model evaluation

Deployable systems

Job description

Neural Systems & Signal Processing

Machine Learning Engineer, Neural Decoding

Manchester/Los Angeles

• Full-Time

The role

Train and deploy neural-decoding models that turn brain signals into command intent for swarm and C2 systems.

What you’ll do

Own decoding models from dataset to on-device inference, collaborate with signal-processing and neuromorphic engineers, and keep models honest against field conditions.

What you’ll bring

Experience with ML for time-series or biosignals (PyTorch/JAX), model evaluation under noisy real-world data, and a bias toward deployable systems.