Machine Learning Engineer
4 days ago
We are creating the future of brain-computer interfaces, building devices that have the potential to help people with paralysis regain mobility and independence.
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 an experienced Machine Learning Engineer 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.
Key Responsibilities:
- Deliver end-to-end machine learning solutions to improve BCI
- Work with cross-functional teams to design new BCI functionalities and novel computer user interfaces
- Develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality
Requirements:
- 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
- Strong coding skills, with a focus on clean, efficient, and scalable code development
What We Offer:
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Equity + 401(k) plan
- Parental leave
- Flexible time off
We provide equal opportunity in all of our employment practices to all qualified employees and applicants without regard to race, color, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws.
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