Team info:

The Brain Computer Interface team is responsible for delivering a product that gives people with paralysis the ability to control computers and phones with their minds at the same speed and functionality level as able-bodied people can. In this role you’ll work with neuroscientists, physicians, and software and electrical engineers to develop the next-generation human-ready Brain-Computer Interface (BCI). 

We are hiring a Machine Learning Technical Lead to develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality. You will play a critical role in guiding the team to develop cutting-edge machine learning solutions and driving the successful execution of projects to achieve mission critical goals.

Job Responsibilities:

• Understand business and company goals to develop a roadmap and strategies to achieve these goals and meet user needs
• Deliver end-to-end machine learning solutions to improve BCI 
• Lead the team by performing at a high standard and setting the bar for how we build and operate our systems
• Ability and desire to mentor others in achieving engineering excellence and to be a catalyst on the team
• Work with cross-functional teams to design new BCI functionalities and novel computer user interfaces

Key qualifications:

• Master's or Ph.D. degree in Computer Science, Electrical Engineering, Data Science, or a related field.
• Evidence of delivering high-impact projects to users or businesses with clear metrics.
• Prior experience designing, building, and shipping Machine Learning products for end users.
• Deep understanding of machine learning concepts.
• Experience in analyzing complex datasets, driving insights, and communicating results in a simple and clear way to both technical and non-technical stakeholders.
• Excellent communication and collaboration skills.
• Strong coding skills, with a focus on clean, efficient, and scalable code development.

Preferred qualifications:

• Signal processing knowledge