Machine Learning Engineer

Build machine learning and signal processing systems for brain-computer interfaces on Neuralink’s BCI team.

Responsibilities

• Develop and improve models that decode neural data for reliable BCI performance, including typing at 35 words per minute for individuals with paralysis and control of robotic arms for activities of daily living
• Define research directions for neural network and signal processing work aimed at restoring vision for people affected by blindness
• Apply core knowledge of neural networks and data science to create model foundations for machine learning applications in BCI
• Set high execution standards by leading the team through how systems are built and operated
• Translate user understanding into technical input by identifying product features that can have the greatest impact on quality of life and informing the hardware roadmap

Requirements

• Experience building production-level software in C/C++/Rust and Python
• Proven track record designing, building, and shipping real-time ML products
• Strong foundation in signal processing, algorithms, and software engineering principles
• Bachelor’s degree in a relevant field or equivalent experience

Technologies

• C
• C++
• Rust
• Python

Location

• Austin, TX (onsite)

Compensation

• USD 199,000 - 331,000 per yearly

Benefits

• Excellent medical, dental, and vision insurance through a PPO plan
• Paid holidays
• Commuter benefits
• Meals provided
• Equity in the form of RSUs (Temporary Employees & Interns excluded)
• 401(k) plan (Interns initially excluded until they work 1,000 hours)
• Parental leave (Temporary Employees & Interns excluded)
• Flexible time off (Temporary Employees & Interns excluded)

What We Offer

• Opportunity to contribute to work aimed at changing the world, with collaboration across experts from different fields
• Growth potential, including rapid advancement for team members with outsized impact