Machine Learning Engineer

Key Skills

Data science techniques, Design, Effective communication skills, Machine learning techniques, Signal processing

Job Description

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.

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

Required 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

Pay Transparency:

Based on California law, the following details are for California individuals only:

California base salary range:

$159,000—$261,000 USD

For Full-Time Employees, your compensation package will include two major components: salary and equity. Guidance on salary for this role will be determined according to the level at which you enter the organization, with the ability to gain more over time as you contribute. In addition, Full-Time Employees are eligible for the following benefits listed below.

What We Offer:

An opportunity to change the world and work with some of the smartest and most talented experts from different fields

Growth potential; we rapidly advance team members who have an outsized impact

Excellent medical, dental, and vision insurance through a PPO plan

Paid holidays

Commuter benefits

Meals provided

Equity + 401(k) plan *Temporary Employees & Interns excluded

Parental leave *Temporary Employees & Interns excluded

Flexible time off *Temporary Employees & Interns excluded

Multiple studies have found that a higher percentage of women and BIPOC candidates won't apply if they don't meet every listed qualification. Neuralink values candidates of all backgrounds. If you find yourself excited by our mission but you don't check every box in the description, we encourage you to apply anyway!