BCI Research Engineer: Open-Source EEG Models

Zyphra; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Comprehensive medical, dental, vision, and FSA plans

Competitive compensation and 401(k) plan

Relocation and immigration support

In-office snacks and meals provided

Unlimited PTO and company holidays

Collaborative, high-energy environment

Job summary

An innovative AI company based in San Francisco is seeking a Research Engineer focused on Brain-Computer Interface models. You will contribute to building open-source EEG models and support all stages of development from data collection to integration in real-world applications. The ideal candidate is organized, skilled in communication, and proficient in PyTorch and Python, with a strong interest in neural data. A collaborative, energetic team environment is essential, along with comprehensive benefits and perks.

Qualifications

• Organizational skills and project ownership.
• Communication and collaboration in coding.
• Strong prototyping abilities across research and engineering.
• Fast learner with ability to navigate academic literature.
• Interest in neural data like EEG and fMRI.
• Fluency in PyTorch and Python.

Responsibilities

• Contribute to building open-source EEG and brain-computer interface models.
• Engage in large-scale EEG training runs and evaluations.
• Innovate on architecture and training methodologies.
• Collect and preprocess datasets for EEG and BCI modalities.
• Optimize performance of the training stack.
• Integrate models into real-world BCI applications.

Skills

Organized, methodical researcher who can take ownership of a project

Excellent communication and collaboration skills

Strong implementation and prototyping skills

Ability to learn new domains quickly

Interest in neural data

Proficiency with PyTorch and Python

Job description

An innovative AI company based in San Francisco is seeking a Research Engineer focused on Brain-Computer Interface models. You will contribute to building open-source EEG models and support all stages of development from data collection to integration in real-world applications. The ideal candidate is organized, skilled in communication, and proficient in PyTorch and Python, with a strong interest in neural data. A collaborative, energetic team environment is essential, along with comprehensive benefits and perks.