Neuralink

About Neuralink

Connecting brains and machines for a better future

🏢 Tech, Biotechnology👥 501-1000 employees📅 Founded 2016📍 Fremont, CA💰 $1.3b3.4
HealthcareB2BDeep TechMedTech

Key Highlights

  • Secured FDA approval in 2023 for human trials
  • Raised $1.3 billion in Series D funding
  • Headquartered in Fremont, CA with 501-1000 employees
  • Developing brain-machine interfaces to assist those with paralysis

Neuralink, headquartered in Fremont, CA, is pioneering ultra-high bandwidth brain-machine interfaces aimed at restoring autonomy for individuals with paralysis. With $1.3 billion raised in Series D funding, the company has completed human trials after securing FDA approval in 2023, marking a signifi...

🎁 Benefits

Neuralink offers excellent medical, dental, and vision insurance through a PPO plan, flexible time off, and paid holidays. Employees also benefit from...

🌟 Culture

Neuralink fosters a culture of innovation and ambition, focusing on groundbreaking technology that merges neuroscience with engineering. The company v...

Neuralink

Machine Learning Engineer Mid-Level

NeuralinkFremont - On-Site

Posted 2 months ago🏛️ On-SiteMid-LevelMachine Learning Engineer📍 Fremont📍 California💰 $199,000 - $331,000 / yearly
Apply Now →

Overview

Neuralink is seeking a Machine Learning Engineer to develop models that decode neural data for assistive technologies. You'll work with cutting-edge neural interface hardware and utilize skills in Python and TensorFlow. This role requires experience in machine learning and signal processing.

Job Description

Who you are

You have a strong background in machine learning and signal processing, with experience developing models that decode complex data. You are comfortable working with Python and frameworks like TensorFlow and Keras, and you understand the principles of neural data processing. You are eager to learn and adapt, valuing simple solutions that can be grounded in first principles. You thrive in collaborative environments, working closely with team members to gather feedback and iterate on designs. You are passionate about using technology to improve lives and are excited about the potential of brain-computer interfaces.

Desirable

Experience with real-time data processing and familiarity with hardware integration would be a plus. A background in neuroscience or related fields is not required, but an interest in the intersection of technology and biology is encouraged. You are open to exploring innovative solutions and are driven by the impact your work can have on users.

What you'll do

As a Machine Learning Engineer at Neuralink, you will be responsible for developing and refining models that decode neural data, enabling individuals with paralysis to communicate and control devices effectively. You will work closely with the BCI team to design algorithms that translate raw neural signals into actionable outputs, such as typing or controlling robotic arms. Your work will directly influence the next generation of neural interface devices, and you will have the opportunity to experiment with cutting-edge hardware and software solutions.

You will collaborate with engineers and researchers to formulate research questions and develop experiments that advance our understanding of neural data processing. Your role will involve analyzing data, optimizing models, and iterating on designs based on user feedback. You will also participate in cross-functional discussions to ensure that the technology aligns with user needs and expectations.

What we offer

At Neuralink, we provide a supportive and innovative work environment where you can grow your skills and make a meaningful impact. We offer excellent medical, dental, and vision insurance, along with paid holidays and commuter benefits. Meals are provided, and we have a flexible time-off policy to support work-life balance. You will also have the opportunity to participate in our equity program, allowing you to share in the success of our mission to revolutionize human-computer interaction. Join us in shaping the future of brain-computer interfaces and making a difference in people's lives.

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