Machine Learning Engineer (Full-Time)

 Anywhere (US -EU timezones)      ·       Full time

About the role:

We’re hiring a machine learning engineer to develop our unsupervised learning algorithms and other ML applications.

What we’re looking for (qualifications):

• A bachelor’s degree or equivalent knowledge in computer science or a related field.
• Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch.
• Experience with processing libraries such as Scipy, Numpy, or Matplotlib.
• Significant proficiency in an object-oriented language (ideally Python or C++).
• Experience with cloud computing platforms such as AWS or Digital Ocean.
• Experience with unsupervised neural networks (and ideally genetic algorithms).
• Experience with digital signal processing (FFT and WT).

What you’ll do (responsibilities):

• Develop novel unsupervised algorithms using bio-sensor data.
• Conduct research using both public and internal datasets.
• Collect and analyze data from clinical studies to improve our machine-learning models.
• Other duties as assigned (generalists encouraged to apply)!

What we offer (compensation & benefits):

• Competitive salary — paid roles with flexible salary based on the value your work delivers.
• Fully-distributed culture — live and work where you’d like (US–EU time zones).
• Remote work and wellness/biohacking stipends – whether you want to upgrade your desk or get an RIFD implant, we’ll cover it!

How to apply:

Interested in learning more about what it’s like to build neusleep with us? We’d love to talk! Email jobs@neusleep.com

• Include this role’s title in your subject line.
• Send links/CVs that best showcase the relevant things you’ve built and done.
• Tell us briefly why you’re interested in joining neusleep.

Is this role not the right fit? If you resonate with our mission and think your profile would be a great fit, send an email to jake@neusleep.com and pass along any information you believe is relevant.