Neuralink
Machine Learning Engineer
$129K–$331K
Austin, Texas, United States +3 · Full-time · Posted Jun 29, 2023
- Location
- Austin, Texas, United States
South San Francisco, California, United States
Austin - ATX1
South San Francisco, California, United States - Education
- Bachelor’s degree (or higher) in Computer Science, a related field, or equivalent experience.
About the job
Develop and deploy real-time machine-learning decoders for brain-computer interfaces, including hand-and-arm control and neural voice synthesis.
What you'll do
- Train neural-data models that generalize across sessions and participants and remain effective through neural drift.
- Build online adaptation, low-latency model deployment, and evaluation and rollout infrastructure for brain-computer-interface updates.
- Develop a neural voice-synthesis stack, including self-supervised learning, fine-tuning, reinforcement learning, and real-time speech generation.
What they ask for
- Designed, trained, and shipped real-time ML systems people depend on.
- Strong sequence-modeling instincts, such as in speech, robotics, reinforcement learning, time-series, or sensor fusion.
- Bachelor’s degree (or higher) in Computer Science, a related field, or equivalent experience.
Nice to have
- Familiarity with intracortical brain-computer interface decoding literature.
- Experience with model compression, quantization, constrained-hardware inference, small-data, or heavy-distribution-shift regimes.
Pay
$129,000 — $331,000 USD (base salary)
Tools
PyTorch, JAX, Python, Rust, Swift, Bazel, Typescript, SwiftUI
AI focus
Machine learning for neural-signal decoding, cross-session and cross-participant adaptation, low-latency hand-and-arm control, and real-time voice synthesis from intracortical signals.
Model-written summary · the original posting is authoritative