Neural Decoding ML Engineer — Real-Time Inference

Bridge Neurotech, Inc.; Redwood City (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Excellent medical benefits

6% match 401(k)

Job summary

Bridge Neurotech, Inc. is seeking an ML/AI Engineer to design, scale, and deploy models behind its neural decoding pipeline, including fUSI reconstruction, signal preprocessing, and downstream decoding.

This onsite role focuses on building robust training infrastructure and optimizing performance for real-time applications. You will own end-to-end development from research to production, collaborate with imaging scientists, and push the frontier of neural decoding with foundation models.

Qualifications

• PhD in ML, CS, EE, computational neuroscience, physics, or related field; or a BS/MS with 2–3 years ML systems experience.
• Strong Python and PyTorch development experience.
• Track record of taking a model from paper to trained system on real data.
• End-to-end ownership of open-ended technical problems (thesis/publications/open-source).

Responsibilities

• Design, implement, train, and evaluate models across the pipeline including fUSI reconstruction and preprocessing.
• Drive an experimental agenda: test hypotheses, run ablations, tune architectures and training schedules.
• Extend models to new data regimes and subjects; build preprocessing pipelines for training.
• Own training infrastructure: experiment tracking, config management, checkpointing, mixed-precision, multi-GPU training, profiling.
• Define evaluation strategies with metrics and regression checks to confirm real improvements.
• Debug numerical and performance issues including NaNs under mixed precision and memory bottlenecks.
• Build inference paths for full-volume reconstruction and low-latency decoding.
• Collaborate with imaging scientists and neuroscientists to shape data collection.
• Track literature in neural operators and neuroimaging; reproduce key results and propose next steps.
• Review code/design and onboard new engineers.

Skills

Python

PyTorch

JAX

TensorFlow

ML systems

Linear algebra

Signal processing

End-to-end ownership

Software engineering

Education

PhD in ML/CS/EE/Neuroscience/Physics

BS/MS plus 2-3 years ML systems experience

Tools

Python

PyTorch

JAX

TensorFlow

Job description

Bridge Neurotech, Inc. is seeking an ML/AI Engineer to design, scale, and deploy models behind its neural decoding pipeline, including fUSI reconstruction, signal preprocessing, and downstream decoding.

This onsite role focuses on building robust training infrastructure and optimizing performance for real-time applications. You will own end-to-end development from research to production, collaborate with imaging scientists, and push the frontier of neural decoding with foundation models.