4 months ago

Research Engineer - Brain Computer Interface Models

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Join Zyphra as a Research Engineer focusing on Brain Computer Interface (BCI) models. You’ll contribute across the full model lifecycle—from data collection and preprocessing to designing architectures and training methods—working on open-source EEG/BCI models, multi-node GPU training, and integrating models into real-world applications in a fast-paced AI research environment.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Lead and contribute to the design and implementation of EEG/BCI models across the full model lifecycle
•Run large-scale EEG model training, evaluation, and performance optimization on multi-node GPU clusters
•Develop and run architecture and training methodology ablations and innovations
•Collect and preprocess EEG and other BCI modality datasets for model development
•Collaborate with researchers and engineers to integrate models into real-world applications

Pay and Benefits

Perks:Health InsuranceDentalVisionFsa401kRelocationImmigrationPaid Leave

Key Requirements

•Organized, methodical researcher who can take ownership of a project component, communicate their process clearly, and deliver a working module
•Excellent communication and collaboration skills, with clean and concise coding practices
•Strong implementation and prototyping skills, with comfort working across both research and engineering at scale
•Ability to learn new domains quickly, orient oneself in the academic literature, and implement new ideas, creatively borrowing concepts from other modalities and applying them to EEG domain
•Interest in neural data such as EEG, MEG, fMRI as well as building foundation models in a much less explored space

Experience:Artificial intelligenceNeuroscienceBCIEEGMachine learning

Skills:CommunicationCollaborationProblem-solvingTeamworkOrganization

Tech Stack:PythonPyTorchGPUMulti-node GPU clustersDiffusion modelsVAEsGANsTime-seriesSignal processing

Company Brief

Zyphra

Industry: Consulting

Website

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Zyphra

4 months ago

Research Engineer - Brain Computer Interface Models

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Lead and contribute to the design and implementation of EEG/BCI models across the full model lifecycle
•Run large-scale EEG model training, evaluation, and performance optimization on multi-node GPU clusters
•Develop and run architecture and training methodology ablations and innovations
•Collect and preprocess EEG and other BCI modality datasets for model development
•Collaborate with researchers and engineers to integrate models into real-world applications

Pay and Benefits

Perks:Health InsuranceDentalVisionFsa401kRelocationImmigrationPaid Leave

Key Requirements

•Organized, methodical researcher who can take ownership of a project component, communicate their process clearly, and deliver a working module
•Excellent communication and collaboration skills, with clean and concise coding practices
•Strong implementation and prototyping skills, with comfort working across both research and engineering at scale
•Ability to learn new domains quickly, orient oneself in the academic literature, and implement new ideas, creatively borrowing concepts from other modalities and applying them to EEG domain
•Interest in neural data such as EEG, MEG, fMRI as well as building foundation models in a much less explored space

Experience:Artificial intelligenceNeuroscienceBCIEEGMachine learning

Skills:CommunicationCollaborationProblem-solvingTeamworkOrganization

Tech Stack:PythonPyTorchGPUMulti-node GPU clustersDiffusion modelsVAEsGANsTime-seriesSignal processing

Company Brief

Zyphra

Industry: Consulting

Website