AI/ML Scientist

Machine Learning Engineer / AI Engineer (LLMs, ML Systems, Infrastructure)

About the Role

We’re an early-stage brain-computer interface (BCI) startup building systems that translate neural signals into real-time outputs.

We’re hiring across multiple ML roles (4 openings) spanning modeling, infrastructure, and applied ML. You’ll be considered for the role that best fits your background — you do not need

experience across all areas.

What You’ll Work On

• Model development (LLMs, transformers, multimodal)
• Distributed training across GPU environments
• ML infrastructure and data pipelines
• Real-time inference and production ML systems
• Working with complex neural / time-series data

What We’re Looking For

• Strong Python + experience with PyTorch (or TensorFlow)
• Experience building, training, or deploying ML systems

Experience in at least one of the following:

ML Modeling: LLMs, deep learning, NLP/CV, fine-tuning

ML Infrastructure: distributed training, GPUs, Spark/Ray/Airflow

Applied ML: production systems, pipelines, low-latency inference

Nice to Have

• Time-series or streaming data
• GPU optimization or large-scale training
• Startup or fast-paced environment experience

Why This Role

• Work on cutting-edge BCI technology
• Solve real-world ML problems with high complexity
• High ownership on a small, technical team