Inactive
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Brain Co.

Non-invasive BCI and EEG prosthetics

Early Career Machine Learning Engineer - Applied AI

Applied Machine LearningPosted on Jan 21
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Have 0-2 years of industry experience in applied machine learning or related artificial intelligence work.
  • Hold a Bachelor of Science, Master's, or PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
  • Have hands-on experience building generative artificial intelligence applications, such as agents, reasoning workflows, or retrieval-augmented generation, and understand how large language models are architected and operated.
  • Have implemented models in machine-learning frameworks such as PyTorch, JAX, or TensorFlow.
  • Have a strong foundation in data structures, algorithms, and software engineering principles.
  • Work collaboratively with cross-functional teams.
  • Own problems end-to-end and acquire necessary knowledge to complete the work.

Responsibilities

  • Design and deploy advanced large language models to automate complex manual processes across real-world industry verticals.
  • Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production.
  • Monitor and maintain deployed models to ensure they continue delivering value across governments worldwide.
  • Engage in projects involving energy production systems, government workflows, and public healthcare systems.
  • Interact directly with government officials and apply artificial-intelligence solutions while working with founders, AI researchers, and software engineers to understand business challenges and deliver AI-powered solutions.
  • Participate in code reviews, share knowledge, and set an example through high-quality engineering practices.
  • Keep abreast of developments in machine learning and artificial intelligence.

About the Company

Brain Co.

Non-invasive BCI and EEG prosthetics

BrainCo develops non-invasive brain-computer interface (BCI) technology that translates EEG and muscle signals into commands for external devices. Its product line includes the BrainRobotics hand, an FDA-certified prosthetic that uses AI to decode muscle signals to control individual fingers for tasks like writing or playing piano, and EEG headbands such as FocusCalm, Eassleep, and OxyZen for education, focus, sleep, and meditation. The company combines medical devices with wellness and learning tools, delivering neurotechnology through devices that capture brain or muscle activity and turn it into actionable feedback or control signals. Its goal is to broaden access to advanced neurotech by offering capable prosthetics and BCI solutions at a more affordable price while expanding applications in health, learning, and well-being.

Company size
51-200
Company stage
Series A
Total funding
$30M
Headquarters
San Francisco, CA
Founded
2025

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