Software Research Engineer (AI)

Location: Brooklyn, New York, United States

Salary: $200,000 annually

Company

hirify.global develops endovascular brain-computer interfaces that restore and protect human agency for people living with severe paralysis.

What you will do

• Scale and optimize neural decoding and multimodal models built on endovascular BCI recordings.
• Fine-tune Chiral foundation models for control and communication tasks.
• Develop few-shot personalization, transfer learning, and calibration methods for small, non-stationary clinical datasets.
• Integrate decoders into native BCI experiences, including Apple's BCI Human Interface Device protocol, smart-home control, and assistive communication.
• Define and instrument metrics such as time-to-target, false-activation rate, error recovery, and effort per selection.
• Set technical direction for research projects and translate findings into tooling, publications, and evidence supporting clinical and regulatory programs.

Requirements

• Industry or research experience applying neural signals to real-world systems.
• Experience translating research concepts and devices into consumer products.
• Programming proficiency in Python, C++, or a similar language.
• Hands-on experience with PyTorch or an equivalent deep learning framework for training and inference.
• Bachelor's degree in Computer Science, Electrical Engineering, Biomedical Engineering, Neuroscience, or equivalent practical experience.
• Experience collaborating with research, engineering, clinical, or human-factors teams.

Nice to have

• Experience decoding neural or biomedical time series, including intracortical recordings, ECoG, EEG, or EMG, or prior BCI/BMI experience.
• Experience optimizing models under compute, memory, and power constraints.
• Experience with real-time or embedded inference, streaming pipelines, low-latency serving, or on-device deployment.
• Experience with NVIDIA Holoscan or comparable edge platforms.
• Experience deploying models into products or regulated medical devices, including IEC 62304, ISO 13485, or FDA software as a medical device.

Culture & Benefits

• Close collaboration with research scientists, software engineers, clinical research, and participant-facing teams.
• Work is connected directly to assistive communication and daily-use device experiences.
• Model decisions are evaluated against real-world user outcomes, not only offline accuracy.
• Research findings contribute to publications and clinical and regulatory evidence.