Founding ML Engineer for NeuroAI & Brain Tech

orbit; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

orbit in San Francisco is seeking an experienced ML Research Engineer to contribute to neuroscience-informed AI models and neuroimaging data pipelines. You will design, implement, and evaluate advanced ML approaches that handle multimodal data in real-time settings.

Collaborating with neuroscience, hardware, and software teams, you will drive end-to-end experimentation, iterate quickly on models, and help translate research into scalable systems that power our brain-computer interface platform.

Qualifications

• BS or higher in CS, EE, applied math or related STEM field.
• 3+ years of applied ML research or development.
• Strong Python and ML framework experience (PyTorch, TensorFlow, or JAX).
• Experience with multimodal data and fast-paced teams.

Responsibilities

• Critically evaluate and implement ML approaches for neural data.
• Work with real-time, multimodal datasets.
• Collaborate with neuroscience, hardware, and software teams to co-design end-to-end systems.
• Explore new model architectures and perform experiments and analysis.
• Learn neuroimaging and neuroscience context with internal support.

Skills

ML research

Python programming

Model iteration

Team collaboration

Education

BS or higher in CS/EE/Applied Math

Tools

PyTorch

TensorFlow

JAX

Job description

orbit in San Francisco is seeking an experienced ML Research Engineer to contribute to neuroscience-informed AI models and neuroimaging data pipelines. You will design, implement, and evaluate advanced ML approaches that handle multimodal data in real-time settings.

Collaborating with neuroscience, hardware, and software teams, you will drive end-to-end experimentation, iterate quickly on models, and help translate research into scalable systems that power our brain-computer interface platform.